{"type":"thinking_level_change","id":"71b52688","parentId":null,"timestamp":"2026-03-31T06:07:18.194Z","thinkingLevel":"medium"}
{"type":"model_change","id":"8986f51c","parentId":"71b52688","timestamp":"2026-03-31T06:07:18.195Z","provider":"anthropic","modelId":"claude-opus-4-6"}
{"type":"custom_message","customType":"gsd-auto","content":"You are executing GSD auto-mode.\n\n## Working Directory\n\nYour working directory is `/home/aux/projects/content-to-kb-automator`. All file reads, writes, and shell commands MUST operate relative to this directory. Do NOT `cd` to any other directory.\n\nAll relevant context has been preloaded below — start working immediately without re-reading these files.\n\n## Executor Context Constraints\n\nThe agent that executes each task has a **200K token** context window.\n- Recommended task count for this slice: **2–6 tasks**\n- Each task gets ~320K chars of inline context (plans, code, decisions)\n- Keep individual tasks completable within a single context window — if a task needs more context than fits, split it\n\nThen:\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements the roadmap says this slice owns or supports. These are the requirements this plan must deliver — every owned requirement needs at least one task that directly advances it, and verification must prove the requirement is met.\n1. Read the templates:\n   - `~/.gsd/agent/extensions/gsd/templates/plan.md`\n   - `~/.gsd/agent/extensions/gsd/templates/task-plan.md`\n2.  Record the installed skills you expect executors to use in each task plan's `skills_used` frontmatter.\n3. Define slice-level verification — the objective stopping condition for this slice:\n   - For non-trivial slices: plan actual test files with real assertions. Name the files.\n   - For simple slices: executable commands or script assertions are fine.\n   - If the project is non-trivial and has no test framework, the first task should set one up.\n   - If this slice establishes a boundary contract, verification must exercise that contract.\n4. **For non-trivial slices only** — plan observability, proof level, and integration closure:\n   - Include `Observability / Diagnostics` for backend, integration, async, stateful, or UI slices where failure diagnosis matters.\n   - Fill `Proof Level` and `Integration Closure` when the slice crosses runtime boundaries or has meaningful integration concerns.\n   - **Omit these sections entirely for simple slices** where they would all be \"none\" or trivially obvious.\n5. **Quality gates** — for non-trivial slices, fill the Threat Surface (Q3) and Requirement Impact (Q4) sections in the slice plan:\n   - **Threat Surface:** Identify abuse scenarios, data exposure risks, and input trust boundaries. Required when the slice handles user input, authentication, authorization, or sensitive data. Omit entirely for internal refactoring or simple changes.\n   - **Requirement Impact:** List which existing requirements this slice touches, what must be re-verified after shipping, and which prior decisions should be reconsidered. Omit entirely if no existing requirements are affected.\n   - For each task in a non-trivial slice, fill Failure Modes (Q5), Load Profile (Q6), and Negative Tests (Q7) in the task plan when the task has external dependencies, shared resources, or non-trivial input handling. Omit for simple tasks.\n6. Decompose the slice into tasks, each fitting one context window. Each task needs:\n   - a concrete, action-oriented title\n   - the inline task entry fields defined in the plan.md template (Why / Files / Do / Verify / Done when)\n   - a matching task plan file with description, steps, must-haves, verification, inputs, and expected output\n   - **Inputs and Expected Output must list concrete backtick-wrapped file paths** (e.g. `` `src/types.ts` ``). These are machine-parsed to derive task dependencies — vague prose without paths breaks parallel execution. Every task must have at least one output file path.\n   - Observability Impact section **only if the task touches runtime boundaries, async flows, or error paths** — omit it otherwise\n7. **Persist planning state through `gsd_plan_slice`.** Call it with the full slice planning payload (goal, demo, must-haves, verification, tasks, and metadata). The tool inserts all tasks in the same transaction, writes to the DB, and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M010/slices/S02/S02-PLAN.md` and `.gsd/milestones/M010/slices/S02/tasks/T##-PLAN.md` files automatically. Do **not** call `gsd_plan_task` separately — `gsd_plan_slice` handles task persistence. Do **not** rely on direct `PLAN.md` writes as the source of truth; the DB-backed tool is the canonical write path for slice and task planning state.\n8. **Self-audit the plan.** Walk through each check — if any fail, fix the plan files before moving on:\n    - **Completion semantics:** If every task were completed exactly as written, the slice goal/demo should actually be true.\n    - **Requirement coverage:** Every must-have in the slice maps to at least one task. No must-have is orphaned. If `REQUIREMENTS.md` exists, every Active requirement this slice owns maps to at least one task.\n    - **Task completeness:** Every task has steps, must-haves, verification, inputs, and expected output — none are blank or vague. Inputs and Expected Output list backtick-wrapped file paths, not prose descriptions.\n    - **Dependency correctness:** Task ordering is consistent. No task references work from a later task.\n    - **Key links planned:** For every pair of artifacts that must connect, there is an explicit step that wires them.\n    - **Scope sanity:** Target 2–5 steps and 3–8 files per task. 10+ steps or 12+ files — must split. Each task must be completable in a single fresh context window.\n    - **Feature completeness:** Every task produces real, user-facing progress — not just internal scaffolding.\n    - **Quality gate coverage:** For non-trivial slices, Threat Surface and Requirement Impact sections are present and specific (not placeholder text). For non-trivial tasks, Failure Modes, Load Profile, and Negative Tests are addressed in the task plan.\n10. If planning produced structural decisions, append them to `.gsd/DECISIONS.md`\n11. Do not commit — .gsd/ planning docs are managed externally and not tracked in git.\n\nThe slice directory and tasks/ subdirectory already exist. Do NOT mkdir. All work stays in your working directory: `/home/aux/projects/content-to-kb-automator`.\n\n**You MUST call `gsd_plan_slice` to persist the planning state before finishing.**\n\nWhen done, say: \"Slice S02 planned.\"\n## UNIT: Plan Slice S02 (\"Related Techniques Cross-Linking\") — Milestone M010\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M010/M010-ROADMAP.md`\n\n# M010: Discovery, Navigation & Visual Identity\n\n## Vision\nChrysopedia should feel like exploring a music production library, not querying a database. This milestone adds the navigation structure (sub-topic pages, cross-links), visual identity (topic colors, creator differentiation), and interaction polish (autocomplete, transitions) that transform browsing from utilitarian to engaging. A user who reads one technique should naturally discover three more.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Dedicated Sub-Topic Pages | high | — | ✅ | Clicking 'Compression' on Topics page loads /topics/mixing/compression with techniques grouped by creator, description, breadcrumbs |\n| S02 | Related Techniques Cross-Linking | medium | — | ⬜ | Bottom of every technique page shows 3-4 related techniques from same creator or same sub-topic |\n| S03 | Topic Color Coding & Visual Polish | medium | S01 | ⬜ | Each of 7 topic categories has a distinct accent color in badges, cards, and sub-topic pages. Page transitions are smooth. Creator avatars are visually unique. |\n| S04 | Search Autocomplete & Suggestions | medium | — | ⬜ | Typing in search shows autocomplete suggestions. Empty search box shows popular search terms. |\n\n---\n\n### Slice Research\nSource: `.gsd/milestones/M010/slices/S02/S02-RESEARCH.md`\n\n# S02 Research — Related Techniques Cross-Linking\n\n## Summary\n\nThe data model, API plumbing, and frontend rendering for related technique links all exist but are **empty** — the pipeline never populates the `related_technique_links` table. This slice needs to compute relatedness dynamically at query time rather than pre-populating a join table.\n\nThe technique page already renders `related_links` when non-empty (simple list with relationship label). The slice upgrades this to a visually richer card-based display showing 3-4 related techniques with context (creator name, topic category, relationship reason).\n\n**Approach:** Dynamic computation in the `GET /techniques/{slug}` endpoint, replacing the current join-table-based approach. No new tables, no pipeline changes, no background jobs.\n\n## Recommendation\n\nCompute related techniques dynamically in the technique detail endpoint using a scored query: same-creator same-category pages rank highest, same-category different-creator next, then shared `topic_tags` overlap. Limit to 4 results. Return enriched `RelatedLinkItem` with `creator_name`, `topic_category`, and a human-readable `reason` string. Upgrade the frontend section from a plain link list to cards matching the existing design system.\n\n## Implementation Landscape\n\n### Backend — What Exists\n\n| File | Role | Relevant Code |\n|------|------|---------------|\n| `backend/models.py:69-74` | `RelationshipType` enum | `same_technique_other_creator`, `same_creator_adjacent`, `general_cross_reference` |\n| `backend/models.py:249-274` | `RelatedTechniqueLink` model | Fully defined, bidirectional FK to `TechniquePage` |\n| `backend/models.py:232-247` | `TechniquePage` relationships | `outgoing_links`, `incoming_links` mapped |\n| `backend/routers/techniques.py:109-181` | `get_technique()` | Eager-loads both link directions, builds `related_links` list |\n| `backend/schemas.py:243-249` | `RelatedLinkItem` | `target_title`, `target_slug`, `relationship` |\n\n### Backend — What's Needed\n\n1. **New query in `get_technique()`**: After loading the technique page, run a second query to find related pages. Scoring logic:\n   - Same `creator_id` AND same `topic_category`: weight 3 (same creator, adjacent technique)\n   - Same `topic_category`, different creator: weight 2 (same topic area)\n   - Overlapping `topic_tags` (using PostgreSQL `&&` array overlap operator): weight 1 per shared tag\n   - Exclude the current page itself\n   - ORDER BY score DESC, LIMIT 4\n\n2. **Enrich `RelatedLinkItem`**: Add `creator_name: str = \"\"`, `topic_category: str = \"\"`, `reason: str = \"\"` fields. The `reason` field provides display text like \"Same creator\" or \"Also about compression\".\n\n3. **The existing `related_technique_links` table and its eager-loading can stay** — if manually curated links exist in the future, they should take priority. The dynamic query fills in when the table is empty.\n\n### Frontend — What Exists\n\n| File | Role | Relevant Code |\n|------|------|---------------|\n| `frontend/src/pages/TechniquePage.tsx:494-511` | Related section | Renders `related_links` as `<ul>` with link + relationship label |\n| `frontend/src/App.css:1774-1808` | Styles | Basic list styling with muted relationship text |\n| `frontend/src/api/public-client.ts:48-52` | `RelatedLinkItem` type | `target_title`, `target_slug`, `relationship` |\n\n### Frontend — What's Needed\n\n1. **Update `RelatedLinkItem` interface** in `public-client.ts`: add `creator_name`, `topic_category`, `reason` fields.\n\n2. **Replace plain list with card layout** in `TechniquePage.tsx`: Each related technique becomes a small card showing title (linked), creator name, topic category badge, and reason text. Use existing CSS variables and badge patterns from the codebase.\n\n3. **Update CSS** in `App.css`: Replace the `.technique-related__list` vertical list with a responsive grid of cards (2 columns on desktop, 1 on mobile). Follow existing card patterns (e.g., technique cards on sub-topic pages from S01).\n\n### Key Constraints\n\n- **PostgreSQL array overlap**: The `topic_tags` column is `ARRAY(String)`. Use `TechniquePage.topic_tags.overlap(current_tags)` in SQLAlchemy for the `&&` operator. This is standard PostgreSQL — no extensions needed.\n- **Performance**: The dynamic query hits `technique_pages` table with filters on `creator_id`, `topic_category`, and array overlap. For datasets under 10K rows, this is fast without additional indexes. A GIN index on `topic_tags` would help at scale but isn't needed now.\n- **The `related_technique_links` table stays empty** — no migration needed. The dynamic query supplements or replaces it at query time.\n- **Existing tests**: `backend/tests/test_public_api.py` has technique detail tests. The related links section currently returns `[]`. Tests need updating to verify dynamic results.\n\n### Natural Seams (Task Decomposition)\n\n1. **Backend: dynamic related-techniques query** — modify `get_technique()` in `routers/techniques.py`, enrich `RelatedLinkItem` schema in `schemas.py`. Verify with a test that creates 3+ technique pages sharing tags/category and confirms the endpoint returns related links.\n\n2. **Frontend: card-based related section** — update `RelatedLinkItem` type, replace the list rendering in `TechniquePage.tsx` with cards, add/update CSS. Verify with `npm run build` (zero TS errors) and visual check.\n\nThese two tasks are independent (frontend works with the existing empty array until backend is deployed, and the backend change is backward-compatible since it only adds fields).\n\n### What to Build First\n\nThe backend query is the riskier piece — it involves SQLAlchemy array operators and scoring logic. Build and test that first. The frontend is straightforward CSS/JSX using established patterns.\n\n### Verification\n\n- **Backend**: Integration test — create 4+ technique pages with overlapping tags/categories, call `GET /techniques/{slug}`, assert `related_links` contains expected entries with correct `reason` strings and scores ≤ 4 results.\n- **Frontend**: `npm run build` passes with zero errors. Visual verification that the related section renders cards (not a plain list) with creator name and category badge.\n- **End-to-end**: On the live system, navigate to any technique page and confirm 3-4 related techniques appear at the bottom.\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n| D013 | M001/S05 | requirement | R008 Topics Browse Page status | validated | TopicsBrowse.tsx renders two-level topic hierarchy (6 categories from canonical_tags.yaml with expandable sub-topics showing technique_count and creator_count). Filter input narrows categories/sub-topics. Clicking sub-topic navigates to search with scope=topics. Backend GET /api/v1/topics aggregates counts from DB per sub-topic. Integration test verifies topic hierarchy response shape. | Yes | agent |\n| D014 | M001/S05 | requirement | R014 Creator Equity status | validated | CreatorsBrowse.tsx defaults to sort=random. Backend uses func.random() ORDER BY for randomized sort. Integration test verifies random sort returns all creators (order may vary). All creators get equal visual weight in the UI — no featured/highlighted treatment. Equal-weight row layout confirmed in CSS. | Yes | agent |\n| D015 | M002/S01 | architecture | Docker network subnet for Chrysopedia on ub01 | 172.32.0.0/24 — free on ub01, replaces 172.24.0.0/24 which is used by xpltd_docs_default | 172.24.0.0/24 was already allocated to xpltd_docs_default network on ub01. Scanned all existing subnets and 172.32.0.0/24 was the first unoccupied /24 in the 172.x range. | Yes | agent |\n| D016 | M002/S01 | architecture | Embedding service for the pipeline and search — OpenWebUI doesn't serve /v1/embeddings | Add Ollama container (ollama/ollama:latest) to the compose stack running nomic-embed-text on CPU | The FYN OpenWebUI instance at chat.forgetyour.name returns 404/500 on /v1/embeddings. No Ollama instance exists on the network. Ollama provides the standard OpenAI-compatible /v1/embeddings endpoint that both EmbeddingClient and SearchService expect. | Yes | agent |\n| D017 |  | frontend | CSS theming approach for dark mode | 77 semantic CSS custom properties in :root block, all hardcoded colors replaced with var(--*) references | A complete variable-based palette enables theme switching, ensures consistency, and makes future color changes single-point edits. 77 tokens (vs ~30 initially planned) were needed to cover all semantic contexts — badges, buttons, surfaces, text, accents, shadows, and status states. Cyan (#22d3ee) replaces indigo as the accent color throughout. | Yes | agent |\n| D018 | M004/S04 | architecture | Version snapshot failure handling strategy in stage 5 | Best-effort versioning — snapshot INSERT failure logs ERROR but does not block page update (existing content overwrites proceed regardless) | Versioning is a diagnostic/benchmarking feature. Losing a version snapshot is far less damaging than failing the entire page synthesis. Follows the same non-blocking side-effect pattern established in D005 for embedding/Qdrant failures. | Yes | agent |\n| D019 | M005/S02 | frontend-layout | Technique page layout structure | CSS grid 2-column layout: 1fr main + 22rem sticky sidebar, collapsing to single column at 768px. Page max-width widened from 48rem to 64rem. | 22rem sidebar provides enough room for moment cards and plugin lists without cramming. 64rem total width accommodates both columns comfortably on standard desktop displays. Sticky sidebar keeps navigation aids visible while scrolling prose. 768px breakpoint aligns with existing mobile styles in the codebase. | Yes | agent |\n| D020 | M006/S05 | frontend | Topics page card layout visual differentiation approach | 3px colored left border + small colored dot next to category name, using existing badge CSS custom properties per category | Subtler than a full colored header — maintains dark theme cohesion while providing clear visual differentiation between 7 category cards. Reuses existing --color-badge-cat-*-bg/text custom properties, avoiding new color definitions. | Yes | agent |\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (6 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic shows technique pages.\n**Validation:** Hierarchy renders, filtering works, sub-topic links show correct technique pages.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n---\n\n[...truncated 3 sections]\n\n### Dependency Slice Summaries\n\nPay particular attention to **Forward Intelligence** sections — they contain hard-won knowledge about what's fragile, what assumptions changed, and what this slice should watch out for.\n\n- (no dependencies)\n\n## Your Role in the Pipeline\n\nYou have full tool access. Before decomposing, explore the relevant code to ground your plan in reality.\n\n### Verify Roadmap Assumptions\n\nCheck prior slice summaries (inlined above as dependency summaries, if present). If prior slices discovered constraints, changed approaches, or flagged fragility, adjust your plan accordingly. The roadmap description may be stale — verify it against the current codebase state.\n\n### Explore Slice Scope\n\nRead the code files relevant to this slice. Confirm the roadmap's description of what exists, what needs to change, and what boundaries apply. Use `rg`, `find`, and targeted reads.\n\n### Source Files\n\n- **Project**: `.gsd/PROJECT.md`\n- **Requirements**: `.gsd/REQUIREMENTS.md`\n- **Decisions**: `.gsd/DECISIONS.md`\n- **Roadmap**: `.gsd/milestones/M010/M010-ROADMAP.md`\n- **Slice Research**: `.gsd/milestones/M010/slices/S02/S02-RESEARCH.md`\n\nIf slice research exists (inlined above), trust those findings and skip redundant exploration.\n\nAfter you finish, **executor agents** implement each task in isolated fresh context windows. They see only their task plan, the slice plan excerpt (goal/demo/verification), and compressed summaries of prior tasks. They do not see the research doc, the roadmap, or REQUIREMENTS.md. Everything an executor needs must be in the task plan itself — file paths, specific steps, expected inputs and outputs.\n\nNarrate your decomposition reasoning — why you're grouping work this way, what risks are driving the order, what verification strategy you're choosing and why. Keep the narration proportional to the work — a simple slice doesn't need a long justification — but write in complete sentences, not planner shorthand.\n\n**Right-size the plan.** If the slice is simple enough to be 1 task, plan 1 task. Don't split into multiple tasks just because you can identify sub-steps. Don't fill in sections with \"None\" when the section doesn't apply — omit them entirely. The plan's job is to guide execution, not to fill a template.\n","display":false,"id":"f2831207","parentId":"8986f51c","timestamp":"2026-03-31T06:07:18.197Z"}
{"type":"message","id":"fe982afb","parentId":"f2831207","timestamp":"2026-03-31T06:07:26.290Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me explore the relevant code to ground the plan in reality before decomposing tasks.","thinkingSignature":"EpMCClkIDBgCKkCZOvax930/9npBeWRse1fpAQSUuUi1KrxpENlXzftMPZcvNJunrrN3Jfac5RNxSro00A1rCn3bo1VLgVVD4NhTMg9jbGF1ZGUtb3B1cy00LTY4ABIMlXLLPxanAxUH/G0qGgwXQCmnH3V92W6g8toiMF2N1KnPlHOeF9uYJPG+QtSmnb8TNptWoUxn9wjakjEESlJ5IxXk8aimk79LoaMVwypokKWJaVHts0uSQkkXp16vXCMy0ISDld/o+Dn1DFUVbwL8O40ATNrflcFv4wzeW7MS++AUI/Utpc8QByfR3B2Tf7//3GeSdiHe0EwYjvZGzo9VrbirXbyrHLJlff2ZH7mDl/SXCLpj2oMYAQ=="},{"type":"text","text":"Let me verify the current state of the relevant files before planning."},{"type":"toolCall","id":"toolu_019jjJnAqyLB4eA5zmVUm3TH","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"related\" backend/routers/techniques.py | head -30"}},{"type":"toolCall","id":"toolu_01NKsEvNwWzDbyeRN7vcxVMe","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"RelatedLinkItem\\|related_links\" backend/schemas.py | head -20"}},{"type":"toolCall","id":"toolu_01F2e5ZLnjx9Cw6g7FfUhrbM","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"related\" frontend/src/pages/TechniquePage.tsx | head -20"}},{"type":"toolCall","id":"toolu_01HT5hkYiP1fj1Nht9gFHD9C","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"RelatedLinkItem\" frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":358,"cacheRead":58653,"cacheWrite":8821,"totalTokens":67834,"cost":{"input":0.00001,"output":0.00895,"cacheRead":0.0293265,"cacheWrite":0.05513125,"total":0.09341775}},"stopReason":"toolUse","timestamp":1774937238195}}
{"type":"message","id":"fab601f8","parentId":"fe982afb","timestamp":"2026-03-31T06:07:26.308Z","message":{"role":"toolResult","toolCallId":"toolu_019jjJnAqyLB4eA5zmVUm3TH","toolName":"bash","content":[{"type":"text","text":"42:    # Correlated subquery for key moment count (same pattern as creators.py)\n109:    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n147:    # Build related links (outgoing + incoming)\n148:    related_links: list[RelatedLinkItem] = []\n151:            related_links.append(\n160:            related_links.append(\n181:        related_links=related_links,\n"}],"isError":false,"timestamp":1774937246308}}
{"type":"message","id":"44ed9c01","parentId":"fab601f8","timestamp":"2026-03-31T06:07:26.309Z","message":{"role":"toolResult","toolCallId":"toolu_01NKsEvNwWzDbyeRN7vcxVMe","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774937246308}}
{"type":"message","id":"61ce7b47","parentId":"44ed9c01","timestamp":"2026-03-31T06:07:26.311Z","message":{"role":"toolResult","toolCallId":"toolu_01F2e5ZLnjx9Cw6g7FfUhrbM","toolName":"bash","content":[{"type":"text","text":"495:      {technique.related_links.length > 0 && (\n496:        <section className=\"technique-related\">\n498:          <ul className=\"technique-related__list\">\n499:            {technique.related_links.map((link) => (\n504:                <span className=\"technique-related__rel\">\n"}],"isError":false,"timestamp":1774937246311}}
{"type":"message","id":"9918631f","parentId":"61ce7b47","timestamp":"2026-03-31T06:07:26.313Z","message":{"role":"toolResult","toolCallId":"toolu_01HT5hkYiP1fj1Nht9gFHD9C","toolName":"bash","content":[{"type":"text","text":"48:export interface RelatedLinkItem {\n71:  related_links: RelatedLinkItem[];\n"}],"isError":false,"timestamp":1774937246312}}
{"type":"message","id":"3dd0b637","parentId":"9918631f","timestamp":"2026-03-31T06:07:30.430Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_0152hGSo55VUuQv2FSTEdWys","name":"read","arguments":{"limit":20,"offset":1,"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_0151LFXPXD31p7h3C2kcqgQQ","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"class Related\\|class Technique\" backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":157,"cacheRead":67474,"cacheWrite":642,"totalTokens":68274,"cost":{"input":0.000005,"output":0.0039250000000000005,"cacheRead":0.033736999999999996,"cacheWrite":0.0040125000000000004,"total":0.0416795}},"stopReason":"toolUse","timestamp":1774937246312}}
{"type":"message","id":"6fe95b02","parentId":"3dd0b637","timestamp":"2026-03-31T06:07:30.440Z","message":{"role":"toolResult","toolCallId":"toolu_0152hGSo55VUuQv2FSTEdWys","toolName":"read","content":[{"type":"text","text":"\"\"\"Pydantic schemas for the Chrysopedia API.\n\nRead-only schemas for list/detail endpoints and input schemas for creation.\nEach schema mirrors the corresponding SQLAlchemy model in models.py.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\nfrom datetime import datetime\n\nfrom pydantic import BaseModel, ConfigDict, Field\n\n\n# ── Health ───────────────────────────────────────────────────────────────────\n\nclass HealthResponse(BaseModel):\n    status: str = \"ok\"\n    service: str = \"chrysopedia-api\"\n    version: str = \"0.1.0\"\n\n[386 more lines in file. Use offset=21 to continue.]"}],"isError":false,"timestamp":1774937250440}}
{"type":"message","id":"aa090805","parentId":"6fe95b02","timestamp":"2026-03-31T06:07:30.445Z","message":{"role":"toolResult","toolCallId":"toolu_0151LFXPXD31p7h3C2kcqgQQ","toolName":"bash","content":[{"type":"text","text":"118:class TechniquePageBase(BaseModel):\n128:class TechniquePageCreate(TechniquePageBase):\n132:class TechniquePageRead(TechniquePageBase):\n148:class RelatedTechniqueLinkBase(BaseModel):\n153:class RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n156:class RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n243:class RelatedLinkItem(BaseModel):\n261:class TechniquePageDetail(TechniquePageRead):\n271:class TechniquePageVersionSummary(BaseModel):\n280:class TechniquePageVersionDetail(BaseModel):\n290:class TechniquePageVersionListResponse(BaseModel):\n"}],"isError":false,"timestamp":1774937250443}}
{"type":"message","id":"36835770","parentId":"aa090805","timestamp":"2026-03-31T06:07:34.035Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01MjbVziVKCcNBk4kihmNxHM","name":"read","arguments":{"limit":30,"offset":243,"path":"backend/schemas.py"}},{"type":"toolCall","id":"toolu_01JFWE1kCsynbM9eCakT1vLf","name":"read","arguments":{"limit":80,"offset":109,"path":"backend/routers/techniques.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":164,"cacheRead":68116,"cacheWrite":566,"totalTokens":68847,"cost":{"input":0.000005,"output":0.0041,"cacheRead":0.034058,"cacheWrite":0.0035375000000000003,"total":0.041700499999999995}},"stopReason":"toolUse","timestamp":1774937250444}}
{"type":"message","id":"f4559489","parentId":"36835770","timestamp":"2026-03-31T06:07:34.039Z","message":{"role":"toolResult","toolCallId":"toolu_01MjbVziVKCcNBk4kihmNxHM","toolName":"read","content":[{"type":"text","text":"class RelatedLinkItem(BaseModel):\n    \"\"\"A related technique link with target info.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    target_title: str = \"\"\n    target_slug: str = \"\"\n    relationship: str = \"\"\n\n\nclass CreatorInfo(BaseModel):\n    \"\"\"Minimal creator info embedded in technique detail.\"\"\"\n    model_config = ConfigDict(from_attributes=True)\n\n    name: str\n    slug: str\n    genres: list[str] | None = None\n\n\nclass TechniquePageDetail(TechniquePageRead):\n    \"\"\"Technique page with nested key moments, creator, and related links.\"\"\"\n    key_moments: list[KeyMomentSummary] = Field(default_factory=list)\n    creator_info: CreatorInfo | None = None\n    related_links: list[RelatedLinkItem] = Field(default_factory=list)\n    version_count: int = 0\n\n\n# ── Technique Page Versions ──────────────────────────────────────────────────\n\nclass TechniquePageVersionSummary(BaseModel):\n    \"\"\"Lightweight version entry for list responses.\"\"\"\n\n[134 more lines in file. Use offset=273 to continue.]"}],"isError":false,"timestamp":1774937254039}}
{"type":"message","id":"1a297fa5","parentId":"f4559489","timestamp":"2026-03-31T06:07:34.044Z","message":{"role":"toolResult","toolCallId":"toolu_01JFWE1kCsynbM9eCakT1vLf","toolName":"read","content":[{"type":"text","text":"    \"\"\"Get full technique page detail with key moments, creator, and related links.\"\"\"\n    stmt = (\n        select(TechniquePage)\n        .where(TechniquePage.slug == slug)\n        .options(\n            selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video),\n            selectinload(TechniquePage.creator),\n            selectinload(TechniquePage.outgoing_links).selectinload(\n                RelatedTechniqueLink.target_page\n            ),\n            selectinload(TechniquePage.incoming_links).selectinload(\n                RelatedTechniqueLink.source_page\n            ),\n        )\n    )\n    result = await db.execute(stmt)\n    page = result.scalar_one_or_none()\n\n    if page is None:\n        raise HTTPException(status_code=404, detail=f\"Technique '{slug}' not found\")\n\n    # Build key moments (ordered by start_time)\n    key_moments = sorted(page.key_moments, key=lambda km: km.start_time)\n    key_moment_items = []\n    for km in key_moments:\n        item = KeyMomentSummary.model_validate(km)\n        item.video_filename = km.source_video.filename if km.source_video else \"\"\n        key_moment_items.append(item)\n\n    # Build creator info\n    creator_info = None\n    if page.creator:\n        creator_info = CreatorInfo(\n            name=page.creator.name,\n            slug=page.creator.slug,\n            genres=page.creator.genres,\n        )\n\n    # Build related links (outgoing + incoming)\n    related_links: list[RelatedLinkItem] = []\n    for link in page.outgoing_links:\n        if link.target_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.target_page.title,\n                    target_slug=link.target_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n    for link in page.incoming_links:\n        if link.source_page:\n            related_links.append(\n                RelatedLinkItem(\n                    target_title=link.source_page.title,\n                    target_slug=link.source_page.slug,\n                    relationship=link.relationship.value if hasattr(link.relationship, 'value') else str(link.relationship),\n                )\n            )\n\n    base = TechniquePageRead.model_validate(page)\n\n    # Count versions for this page\n    version_count_stmt = select(func.count()).where(\n        TechniquePageVersion.technique_page_id == page.id\n    )\n    version_count_result = await db.execute(version_count_stmt)\n    version_count = version_count_result.scalar() or 0\n\n    return TechniquePageDetail(\n        **base.model_dump(),\n        key_moments=key_moment_items,\n        creator_info=creator_info,\n        related_links=related_links,\n        version_count=version_count,\n    )\n\n\n@router.get(\"/{slug}/versions\", response_model=TechniquePageVersionListResponse)\nasync def list_technique_versions(\n    slug: str,\n\n[55 more lines in file. Use offset=189 to continue.]"}],"isError":false,"timestamp":1774937254042}}
{"type":"message","id":"886de065","parentId":"1a297fa5","timestamp":"2026-03-31T06:07:38.251Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the frontend related section and existing test patterns."},{"type":"toolCall","id":"toolu_01VHr5tBMbDgJKDFu6uAYqXa","name":"read","arguments":{"limit":30,"offset":488,"path":"frontend/src/pages/TechniquePage.tsx"}},{"type":"toolCall","id":"toolu_01Mqd5VyTqVG1qu2M7RLcSqt","name":"read","arguments":{"limit":10,"offset":45,"path":"frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":188,"cacheRead":68682,"cacheWrite":1358,"totalTokens":70229,"cost":{"input":0.000005,"output":0.0047,"cacheRead":0.034340999999999997,"cacheWrite":0.0084875,"total":0.0475335}},"stopReason":"toolUse","timestamp":1774937254042}}
{"type":"message","id":"adb08751","parentId":"886de065","timestamp":"2026-03-31T06:07:38.254Z","message":{"role":"toolResult","toolCallId":"toolu_01VHr5tBMbDgJKDFu6uAYqXa","toolName":"read","content":[{"type":"text","text":"                </div>\n              );\n            })}\n          </section>\n        )}\n\n      {/* Related techniques (always from live data) */}\n      {technique.related_links.length > 0 && (\n        <section className=\"technique-related\">\n          <h2>Related Techniques</h2>\n          <ul className=\"technique-related__list\">\n            {technique.related_links.map((link) => (\n              <li key={link.target_slug}>\n                <Link to={`/techniques/${link.target_slug}`}>\n                  {link.target_title}\n                </Link>\n                <span className=\"technique-related__rel\">\n                  ({link.relationship})\n                </span>\n              </li>\n            ))}\n          </ul>\n        </section>\n      )}\n        </div>\n      </div>\n\n      {/* Footer actions */}\n      <div className=\"technique-footer\">\n        <button\n\n[25 more lines in file. Use offset=518 to continue.]"}],"isError":false,"timestamp":1774937258254}}
{"type":"message","id":"4c9288fe","parentId":"adb08751","timestamp":"2026-03-31T06:07:38.258Z","message":{"role":"toolResult","toolCallId":"toolu_01Mqd5VyTqVG1qu2M7RLcSqt","toolName":"read","content":[{"type":"text","text":"  genres: string[] | null;\n}\n\nexport interface RelatedLinkItem {\n  target_title: string;\n  target_slug: string;\n  relationship: string;\n}\n\nexport interface TechniquePageDetail {\n\n[456 more lines in file. Use offset=55 to continue.]"}],"isError":false,"timestamp":1774937258256}}
{"type":"message","id":"9326761e","parentId":"4c9288fe","timestamp":"2026-03-31T06:07:42.936Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01M3E1W4ycVNV3pR38hEBXFC","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"topic_tags\\|topic_category\\|creator_id\" backend/models.py | head -20"}},{"type":"toolCall","id":"toolu_01YZ7DMBoCKyiX83breSXHyo","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"technique-related\" frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":162,"cacheRead":70040,"cacheWrite":556,"totalTokens":70759,"cost":{"input":0.000005,"output":0.00405,"cacheRead":0.035019999999999996,"cacheWrite":0.0034750000000000002,"total":0.04255}},"stopReason":"toolUse","timestamp":1774937258256}}
{"type":"message","id":"d81c38fc","parentId":"9326761e","timestamp":"2026-03-31T06:07:42.951Z","message":{"role":"toolResult","toolCallId":"toolu_01M3E1W4ycVNV3pR38hEBXFC","toolName":"bash","content":[{"type":"text","text":"124:    creator_id: Mapped[uuid.UUID] = mapped_column(\n209:    creator_id: Mapped[uuid.UUID] = mapped_column(\n214:    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n215:    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774937262951}}
{"type":"message","id":"55bfc93a","parentId":"d81c38fc","timestamp":"2026-03-31T06:07:42.957Z","message":{"role":"toolResult","toolCallId":"toolu_01YZ7DMBoCKyiX83breSXHyo","toolName":"bash","content":[{"type":"text","text":"1774:.technique-related {\n1778:.technique-related h2 {\n1784:.technique-related__list {\n1791:.technique-related__list a {\n1797:.technique-related__list a:hover {\n1801:.technique-related__rel {\n"}],"isError":false,"timestamp":1774937262955}}
{"type":"message","id":"42637221","parentId":"55bfc93a","timestamp":"2026-03-31T06:07:47.466Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01N8MayY7eGsSqxPEqfWhSGf","name":"read","arguments":{"limit":40,"offset":1774,"path":"frontend/src/App.css"}},{"type":"toolCall","id":"toolu_01Lx9dxvtRixb7zfQP9HtVU5","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"test_technique\\|def test.*technique\" backend/tests/test_public_api.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":173,"cacheRead":70596,"cacheWrite":384,"totalTokens":71154,"cost":{"input":0.000005,"output":0.004325,"cacheRead":0.035297999999999996,"cacheWrite":0.0024000000000000002,"total":0.042027999999999996}},"stopReason":"toolUse","timestamp":1774937262956}}
{"type":"message","id":"0ab8aa78","parentId":"42637221","timestamp":"2026-03-31T06:07:47.478Z","message":{"role":"toolResult","toolCallId":"toolu_01N8MayY7eGsSqxPEqfWhSGf","toolName":"read","content":[{"type":"text","text":".technique-related {\n  margin-bottom: 2rem;\n}\n\n.technique-related h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.5rem;\n}\n\n.technique-related__list {\n  list-style: none;\n  display: flex;\n  flex-direction: column;\n  gap: 0.375rem;\n}\n\n.technique-related__list a {\n  color: var(--color-link-accent);\n  text-decoration: none;\n  font-size: 0.9375rem;\n}\n\n.technique-related__list a:hover {\n  text-decoration: underline;\n}\n\n.technique-related__rel {\n  font-size: 0.75rem;\n  color: var(--color-text-muted);\n  margin-left: 0.375rem;\n}\n\n/* ══════════════════════════════════════════════════════════════════════════════\n   CREATORS BROWSE\n   ══════════════════════════════════════════════════════════════════════════════ */\n\n.creators-browse {\n  max-width: 56rem;\n}\n\n[1874 more lines in file. Use offset=1814 to continue.]"}],"isError":false,"timestamp":1774937267477}}
{"type":"message","id":"fa7e14b7","parentId":"0ab8aa78","timestamp":"2026-03-31T06:07:47.486Z","message":{"role":"toolResult","toolCallId":"toolu_01Lx9dxvtRixb7zfQP9HtVU5","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774937267484}}
{"type":"message","id":"f1a071be","parentId":"fa7e14b7","timestamp":"2026-03-31T06:07:51.217Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Lm57W9gWVCrFSP5Stnm7NU","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls backend/tests/"}},{"type":"toolCall","id":"toolu_016LBffie94dC897YVcc9wJV","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -l \"technique\" backend/tests/ 2>/dev/null"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":141,"cacheRead":70980,"cacheWrite":543,"totalTokens":71665,"cost":{"input":0.000005,"output":0.0035250000000000004,"cacheRead":0.03549,"cacheWrite":0.00339375,"total":0.04241375}},"stopReason":"toolUse","timestamp":1774937267484}}
{"type":"message","id":"3257b373","parentId":"f1a071be","timestamp":"2026-03-31T06:07:51.232Z","message":{"role":"toolResult","toolCallId":"toolu_01Lm57W9gWVCrFSP5Stnm7NU","toolName":"bash","content":[{"type":"text","text":"conftest.py\nfixtures\n__init__.py\n__pycache__\ntest_ingest.py\ntest_pipeline.py\ntest_public_api.py\ntest_search.py\n"}],"isError":false,"timestamp":1774937271232}}
{"type":"message","id":"5ce19439","parentId":"3257b373","timestamp":"2026-03-31T06:07:51.242Z","message":{"role":"toolResult","toolCallId":"toolu_016LBffie94dC897YVcc9wJV","toolName":"bash","content":[{"type":"text","text":"backend/tests/fixtures/mock_llm_responses.py\nbackend/tests/test_public_api.py\nbackend/tests/test_search.py\nbackend/tests/test_pipeline.py\n"}],"isError":false,"timestamp":1774937271240}}
{"type":"message","id":"2206a121","parentId":"5ce19439","timestamp":"2026-03-31T06:07:54.873Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01DzJPJXHMXf1CykoFE2vAhy","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"def test_\" backend/tests/test_public_api.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":88,"cacheRead":71523,"cacheWrite":294,"totalTokens":71906,"cost":{"input":0.000005,"output":0.0022,"cacheRead":0.0357615,"cacheWrite":0.0018375000000000002,"total":0.039804}},"stopReason":"toolUse","timestamp":1774937271241}}
{"type":"message","id":"aec5ab50","parentId":"2206a121","timestamp":"2026-03-31T06:07:54.892Z","message":{"role":"toolResult","toolCallId":"toolu_01DzJPJXHMXf1CykoFE2vAhy","toolName":"bash","content":[{"type":"text","text":"171:async def test_list_techniques(client, db_engine):\n189:async def test_list_techniques_with_category_filter(client, db_engine):\n203:async def test_get_technique_detail(client, db_engine):\n233:async def test_get_technique_invalid_slug_returns_404(client, db_engine):\n246:async def test_list_topics_hierarchy(client, db_engine):\n283:async def test_topics_with_no_technique_pages(client, db_engine):\n302:async def test_get_subtopic_techniques(client, db_engine):\n325:async def test_get_subtopic_techniques_empty(client, db_engine):\n338:async def test_get_subtopic_techniques_pagination(client, db_engine):\n372:async def test_list_creators_random_sort(client, db_engine):\n392:async def test_list_creators_alpha_sort(client, db_engine):\n407:async def test_list_creators_genre_filter(client, db_engine):\n421:async def test_get_creator_detail(client, db_engine):\n435:async def test_get_creator_invalid_slug_returns_404(client, db_engine):\n444:async def test_creators_with_counts(client, db_engine):\n466:async def test_creators_empty_list(client, db_engine):\n497:async def test_version_list_empty(client, db_engine):\n510:async def test_version_list_with_versions(client, db_engine):\n538:async def test_version_detail_returns_content_snapshot(client, db_engine):\n560:async def test_version_detail_404_for_nonexistent_version(client, db_engine):\n570:async def test_versions_404_for_nonexistent_slug(client, db_engine):\n580:async def test_technique_detail_includes_version_count(client, db_engine):\n"}],"isError":false,"timestamp":1774937274890}}
{"type":"message","id":"d29eb2af","parentId":"aec5ab50","timestamp":"2026-03-31T06:07:58.531Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — I've confirmed the research doc's findings. Let me check the existing test to understand the pattern for creating test technique pages."},{"type":"toolCall","id":"toolu_01M9E2faJoA5VAzeiQxMjJH4","name":"read","arguments":{"limit":50,"offset":203,"path":"backend/tests/test_public_api.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":123,"cacheRead":71817,"cacheWrite":573,"totalTokens":72514,"cost":{"input":0.000005,"output":0.003075,"cacheRead":0.035908499999999996,"cacheWrite":0.0035812500000000002,"total":0.042569749999999996}},"stopReason":"toolUse","timestamp":1774937274891}}
{"type":"message","id":"4987c814","parentId":"d29eb2af","timestamp":"2026-03-31T06:07:58.535Z","message":{"role":"toolResult","toolCallId":"toolu_01M9E2faJoA5VAzeiQxMjJH4","toolName":"read","content":[{"type":"text","text":"async def test_get_technique_detail(client, db_engine):\n    \"\"\"GET /techniques/{slug} returns full detail with key_moments, creator_info, and related_links.\"\"\"\n    seed = await _seed_full_data(db_engine)\n\n    resp = await client.get(f\"{TECHNIQUES_URL}/{seed['tp1_slug']}\")\n    assert resp.status_code == 200\n\n    data = resp.json()\n    assert data[\"title\"] == seed[\"tp1_title\"]\n    assert data[\"slug\"] == seed[\"tp1_slug\"]\n    assert data[\"topic_category\"] == \"Sound design\"\n\n    # Key moments: tp1 has 2 key moments\n    assert len(data[\"key_moments\"]) == 2\n    km_titles = {km[\"title\"] for km in data[\"key_moments\"]}\n    assert \"Oscillator setup\" in km_titles\n    assert \"Distortion chain\" in km_titles\n\n    # Creator info\n    assert data[\"creator_info\"] is not None\n    assert data[\"creator_info\"][\"name\"] == seed[\"creator1_name\"]\n    assert data[\"creator_info\"][\"slug\"] == seed[\"creator1_slug\"]\n\n    # Related links: tp1 → tp3 (same_creator_adjacent)\n    assert len(data[\"related_links\"]) >= 1\n    related_slugs = {link[\"target_slug\"] for link in data[\"related_links\"]}\n    assert seed[\"tp3_slug\"] in related_slugs\n\n\n@pytest.mark.asyncio\nasync def test_get_technique_invalid_slug_returns_404(client, db_engine):\n    \"\"\"GET /techniques/{invalid-slug} returns 404.\"\"\"\n    await _seed_full_data(db_engine)\n\n    resp = await client.get(f\"{TECHNIQUES_URL}/nonexistent-slug-xyz\")\n    assert resp.status_code == 404\n    assert \"not found\" in resp.json()[\"detail\"].lower()\n\n\n# ── Topics Tests ─────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_list_topics_hierarchy(client, db_engine):\n    \"\"\"GET /topics returns category hierarchy with counts matching seeded data.\"\"\"\n    await _seed_full_data(db_engine)\n\n    resp = await client.get(TOPICS_URL)\n    assert resp.status_code == 200\n\n\n[345 more lines in file. Use offset=253 to continue.]"}],"isError":false,"timestamp":1774937278533}}
{"type":"message","id":"3761423c","parentId":"4987c814","timestamp":"2026-03-31T06:08:02.827Z","message":{"role":"assistant","content":[{"type":"text","text":"The test already expects `related_links` ≥ 1. Let me check how the seed data creates those links."},{"type":"toolCall","id":"toolu_01NRZdA2iRfxCx1hKBWLAd1F","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"_seed_full_data\\|related_technique\\|RelatedTechniqueLink\" backend/tests/test_public_api.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":136,"cacheRead":72390,"cacheWrite":718,"totalTokens":73245,"cost":{"input":0.000005,"output":0.0034000000000000002,"cacheRead":0.036195,"cacheWrite":0.0044875,"total":0.044087499999999995}},"stopReason":"toolUse","timestamp":1774937278534}}
{"type":"message","id":"889edc70","parentId":"3761423c","timestamp":"2026-03-31T06:08:02.840Z","message":{"role":"toolResult","toolCallId":"toolu_01NRZdA2iRfxCx1hKBWLAd1F","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774937282839}}
{"type":"message","id":"8e571ee6","parentId":"889edc70","timestamp":"2026-03-31T06:08:05.715Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01V9XxWAbd9c4BS7iS7Zhz7A","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"_seed_full_data\" backend/tests/test_public_api.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":90,"cacheRead":73108,"cacheWrite":150,"totalTokens":73349,"cost":{"input":0.000005,"output":0.0022500000000000003,"cacheRead":0.036553999999999996,"cacheWrite":0.0009375000000000001,"total":0.0397465}},"stopReason":"toolUse","timestamp":1774937282839}}
{"type":"message","id":"602d7ac7","parentId":"8e571ee6","timestamp":"2026-03-31T06:08:05.725Z","message":{"role":"toolResult","toolCallId":"toolu_01V9XxWAbd9c4BS7iS7Zhz7A","toolName":"bash","content":[{"type":"text","text":"36:async def _seed_full_data(db_engine) -> dict:\n173:    seed = await _seed_full_data(db_engine)\n191:    await _seed_full_data(db_engine)\n205:    seed = await _seed_full_data(db_engine)\n235:    await _seed_full_data(db_engine)\n248:    await _seed_full_data(db_engine)\n304:    seed = await _seed_full_data(db_engine)\n327:    await _seed_full_data(db_engine)\n340:    await _seed_full_data(db_engine)\n374:    seed = await _seed_full_data(db_engine)\n394:    seed = await _seed_full_data(db_engine)\n409:    seed = await _seed_full_data(db_engine)\n423:    seed = await _seed_full_data(db_engine)\n437:    await _seed_full_data(db_engine)\n446:    seed = await _seed_full_data(db_engine)\n499:    seed = await _seed_full_data(db_engine)\n512:    seed = await _seed_full_data(db_engine)\n540:    seed = await _seed_full_data(db_engine)\n562:    seed = await _seed_full_data(db_engine)\n572:    await _seed_full_data(db_engine)\n582:    seed = await _seed_full_data(db_engine)\n"}],"isError":false,"timestamp":1774937285724}}
{"type":"message","id":"3bd27639","parentId":"602d7ac7","timestamp":"2026-03-31T06:08:09.030Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01MNXzux3hqBnEoFfTCehRig","name":"read","arguments":{"limit":130,"offset":36,"path":"backend/tests/test_public_api.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":95,"cacheRead":73258,"cacheWrite":467,"totalTokens":73821,"cost":{"input":0.000005,"output":0.002375,"cacheRead":0.036628999999999995,"cacheWrite":0.0029187500000000003,"total":0.04192774999999999}},"stopReason":"toolUse","timestamp":1774937285724}}
{"type":"message","id":"c76da546","parentId":"3bd27639","timestamp":"2026-03-31T06:08:09.037Z","message":{"role":"toolResult","toolCallId":"toolu_01MNXzux3hqBnEoFfTCehRig","toolName":"read","content":[{"type":"text","text":"async def _seed_full_data(db_engine) -> dict:\n    \"\"\"Seed 2 creators, 2 videos, 3 technique pages, key moments, and a related link.\n\n    Returns a dict of IDs and metadata for assertions.\n    \"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        # Creators\n        creator1 = Creator(\n            name=\"Alpha Creator\",\n            slug=\"alpha-creator\",\n            genres=[\"Bass music\", \"Dubstep\"],\n            folder_name=\"AlphaCreator\",\n        )\n        creator2 = Creator(\n            name=\"Beta Producer\",\n            slug=\"beta-producer\",\n            genres=[\"House\", \"Techno\"],\n            folder_name=\"BetaProducer\",\n        )\n        session.add_all([creator1, creator2])\n        await session.flush()\n\n        # Videos\n        video1 = SourceVideo(\n            creator_id=creator1.id,\n            filename=\"bass-tutorial.mp4\",\n            file_path=\"AlphaCreator/bass-tutorial.mp4\",\n            duration_seconds=600,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.complete,\n        )\n        video2 = SourceVideo(\n            creator_id=creator2.id,\n            filename=\"mixing-masterclass.mp4\",\n            file_path=\"BetaProducer/mixing-masterclass.mp4\",\n            duration_seconds=1200,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.complete,\n        )\n        session.add_all([video1, video2])\n        await session.flush()\n\n        # Technique pages\n        tp1 = TechniquePage(\n            creator_id=creator1.id,\n            title=\"Reese Bass Design\",\n            slug=\"reese-bass-design\",\n            topic_category=\"Sound design\",\n            topic_tags=[\"bass\", \"textures\"],\n            summary=\"Classic reese bass creation\",\n            body_sections={\"intro\": \"Getting started with reese bass\"},\n        )\n        tp2 = TechniquePage(\n            creator_id=creator2.id,\n            title=\"Granular Pad Textures\",\n            slug=\"granular-pad-textures\",\n            topic_category=\"Synthesis\",\n            topic_tags=[\"granular\", \"pads\"],\n            summary=\"Creating evolving pad textures\",\n        )\n        tp3 = TechniquePage(\n            creator_id=creator1.id,\n            title=\"FM Bass Layering\",\n            slug=\"fm-bass-layering\",\n            topic_category=\"Synthesis\",\n            topic_tags=[\"fm\", \"bass\"],\n            summary=\"FM synthesis for bass layers\",\n        )\n        session.add_all([tp1, tp2, tp3])\n        await session.flush()\n\n        # Key moments\n        km1 = KeyMoment(\n            source_video_id=video1.id,\n            technique_page_id=tp1.id,\n            title=\"Oscillator setup\",\n            summary=\"Setting up the initial oscillator\",\n            start_time=10.0,\n            end_time=60.0,\n            content_type=KeyMomentContentType.technique,\n        )\n        km2 = KeyMoment(\n            source_video_id=video1.id,\n            technique_page_id=tp1.id,\n            title=\"Distortion chain\",\n            summary=\"Adding distortion to the reese\",\n            start_time=60.0,\n            end_time=120.0,\n            content_type=KeyMomentContentType.technique,\n        )\n        km3 = KeyMoment(\n            source_video_id=video2.id,\n            technique_page_id=tp2.id,\n            title=\"Granular engine parameters\",\n            summary=\"Configuring the granular engine\",\n            start_time=20.0,\n            end_time=80.0,\n            content_type=KeyMomentContentType.settings,\n        )\n        session.add_all([km1, km2, km3])\n        await session.flush()\n\n        # Related technique link: tp1 → tp3 (same_creator_adjacent)\n        link = RelatedTechniqueLink(\n            source_page_id=tp1.id,\n            target_page_id=tp3.id,\n            relationship=RelationshipType.same_creator_adjacent,\n        )\n        session.add(link)\n        await session.commit()\n\n        return {\n            \"creator1_id\": str(creator1.id),\n            \"creator1_name\": creator1.name,\n            \"creator1_slug\": creator1.slug,\n            \"creator2_id\": str(creator2.id),\n            \"creator2_name\": creator2.name,\n            \"creator2_slug\": creator2.slug,\n            \"video1_id\": str(video1.id),\n            \"video2_id\": str(video2.id),\n            \"tp1_slug\": tp1.slug,\n            \"tp1_title\": tp1.title,\n            \"tp2_slug\": tp2.slug,\n            \"tp3_slug\": tp3.slug,\n            \"tp3_title\": tp3.title,\n        }\n\n\n[432 more lines in file. Use offset=166 to continue.]"}],"isError":false,"timestamp":1774937289033}}
{"type":"message","id":"b8da492f","parentId":"c76da546","timestamp":"2026-03-31T06:08:14.370Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. The existing test seed data creates an explicit `RelatedTechniqueLink` between tp1 → tp3. The new dynamic query approach will supplement/replace this — but we need to keep backward compatibility with the existing test.\n\nNow let me read the templates."},{"type":"toolCall","id":"toolu_017jcqACfNMJqWPqJ2H9iTZj","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_01XEYwStpfCikwUBkGCSQvRB","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/task-plan.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":178,"cacheRead":73725,"cacheWrite":1436,"totalTokens":75340,"cost":{"input":0.000005,"output":0.00445,"cacheRead":0.0368625,"cacheWrite":0.008975,"total":0.050292500000000004}},"stopReason":"toolUse","timestamp":1774937289034}}
{"type":"message","id":"05bfb07c","parentId":"b8da492f","timestamp":"2026-03-31T06:08:14.373Z","message":{"role":"toolResult","toolCallId":"toolu_017jcqACfNMJqWPqJ2H9iTZj","toolName":"read","content":[{"type":"text","text":"# {{sliceId}}: {{sliceTitle}}\n\n**Goal:** {{goal}}\n**Demo:** {{demo}}\n\n## Must-Haves\n\n- {{mustHave}}\n- {{mustHave}}\n\n## Threat Surface\n\n<!-- Q3: How can this be exploited? OMIT ENTIRELY for simple slices with no auth, user input, or data exposure. -->\n\n- **Abuse**: {{abuseScenarios — parameter tampering, replay, privilege escalation, or N/A}}\n- **Data exposure**: {{sensitiveDataAccessible — PII, tokens, secrets, or none}}\n- **Input trust**: {{untrustedInput — user input reaching DB/API/filesystem, or none}}\n\n## Requirement Impact\n\n<!-- Q4: What existing promises does this break? OMIT ENTIRELY if no existing requirements are affected. -->\n\n- **Requirements touched**: {{requirementIds — e.g. R001, R003, or none}}\n- **Re-verify**: {{whatMustBeRetested — e.g. login flow, API contract, or N/A}}\n- **Decisions revisited**: {{decisionIds — e.g. D002, or none}}\n\n## Proof Level\n\n<!-- Omit this section entirely for simple slices where the answer is trivially obvious. -->\n\n- This slice proves: {{contract | integration | operational | final-assembly}}\n- Real runtime required: {{yes/no}}\n- Human/UAT required: {{yes/no}}\n\n## Verification\n\n<!-- Define what \"done\" looks like BEFORE detailing tasks.\n     This section is the slice's objective stopping condition — execution isn't done\n     until everything here passes.\n\n     For non-trivial projects:\n     - Write actual test files into the codebase during the first task\n     - Tests should assert on the slice's demo outcome and boundary contracts\n     - Name the test files here so execution has an unambiguous target\n\n     For simple projects or scripts:\n     - Executable verification commands (bash assertions, curl checks, etc.) are sufficient\n\n     If the project has no test framework and the work is non-trivial,\n     the first task should set one up. A test runner costs 2 minutes\n     and pays for itself immediately.\n\n     For non-trivial backend, integration, async, stateful, or UI work:\n     - Include at least one verification check for an observability or failure-path signal\n     - Verify not just that the feature works, but that a future agent can inspect its state when it fails -->\n\n- {{testFileOrCommand — e.g. `npm test -- --grep \"auth flow\"` or `bash scripts/verify-s01.sh`}}\n- {{testFileOrCommand}}\n\n## Observability / Diagnostics\n\n<!-- Include this section for non-trivial backend, integration, async, stateful, or UI slices.\n     OMIT ENTIRELY for simple slices where all fields would be \"none\".\n\n     When included, describe how a future agent will inspect current state, detect failure,\n     and localize the problem with minimal ambiguity. Keep it concise and high-signal. -->\n\n- Runtime signals: {{structured log/event, state transition, metric, or none}}\n- Inspection surfaces: {{status endpoint, CLI command, script, UI state, DB table, or none}}\n- Failure visibility: {{last error, retry count, phase, timestamp, correlation id, or none}}\n- Redaction constraints: {{secret/PII boundary or none}}\n\n## Integration Closure\n\n<!-- Omit this section entirely for simple slices with no meaningful integration concerns. -->\n\n- Upstream surfaces consumed: {{specific files / modules / contracts}}\n- New wiring introduced in this slice: {{entrypoint / composition / runtime hookup, or none}}\n- What remains before the milestone is truly usable end-to-end: {{list or \"nothing\"}}\n\n## Tasks\n\n<!--\n  If every task below is completed exactly as written, the Goal and Demo above\n  should be true at the stated proof level. Tasks should close the loop on the\n  slice, not merely prepare for later work unless the Demo truthfully says the\n  slice only proves fixture/contract-level behavior.\n\n  Write each task as an executable increment, not a vague intention.\n\n  Prefer action-oriented titles:\n  - \"Wire real auth middleware into dashboard routes\"\n  - \"Persist job status and expose failure diagnostics\"\n  - \"Add browser test covering empty-state recovery\"\n\n  Avoid vague titles:\n  - \"Set up auth\"\n  - \"Handle errors\"\n  - \"Improve UI\"\n\n  Each task should usually include:\n  - Why: why this task exists / what part of the slice it closes\n  - Files: the main files likely touched\n  - Do: concrete implementation steps and important constraints\n  - Verify: the command, test, or runtime check that proves it worked\n  - Done when: a measurable acceptance condition\n\n  Keep the checkbox line format exactly:\n  - [ ] **T01: Title** `est:30m`\n-->\n\n- [ ] **T01: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n- [ ] **T02: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n<!--\n  Format rules (parsers depend on this exact structure):\n  - Checkbox line: - [ ] **T01: Title** `est:30m`\n  - Description:   indented text on the next line(s)\n  - Mark done:     change [ ] to [x]\n  - Tasks execute sequentially in order (T01, T02, T03, ...)\n  - est: is informational (e.g. 30m, 1h, 2h) and optional\n\n  Verify field rules:\n  - MUST be a mechanically executable command: `npm test`, `grep -q \"pattern\" file`, `test -f path`\n  - For content/document tasks: verify file existence, section count, YAML validity, or word count\n    NOT exact phrasing, specific formulas, or \"zero TBD\" aspirational criteria\n  - If no command can verify the output, write: \"Manual review — file exists and is non-empty\"\n  - BAD: \"Sections 3.1 and 3.2 exist with exact formulas. Zero TBD/TODO.\"\n  - GOOD: `grep -c \"^## \" doc.md` returns >= 4 (4+ sections), `! grep -q \"TBD\\|TODO\" doc.md`\n\n  Integration closure rule:\n  - At least one slice in any multi-boundary milestone should perform real composition/wiring, not just contract hardening\n  - For the final assembly slice, verification must exercise the real entrypoint or runtime path\n-->\n\n## Files Likely Touched\n\n- `{{filePath}}`\n- `{{filePath}}`\n"}],"isError":false,"timestamp":1774937294373}}
{"type":"message","id":"59523047","parentId":"05bfb07c","timestamp":"2026-03-31T06:08:14.377Z","message":{"role":"toolResult","toolCallId":"toolu_01XEYwStpfCikwUBkGCSQvRB","toolName":"read","content":[{"type":"text","text":"---\n# Optional scope estimate — helps the plan quality validator detect over-scoped tasks.\n# Tasks with 10+ estimated steps or 12+ estimated files trigger a warning to consider splitting.\nestimated_steps: {{estimatedSteps}}\nestimated_files: {{estimatedFiles}}\n# Installed skills the planner expects the executor to load before coding.\nskills_used:\n  - {{skillName}}\n---\n\n# {{taskId}}: {{taskTitle}}\n\n**Slice:** {{sliceId}} — {{sliceTitle}}\n**Milestone:** {{milestoneId}}\n\n## Description\n\n{{description}}\n\n## Failure Modes\n\n<!-- Q5: What breaks when dependencies fail? OMIT ENTIRELY for tasks with no external dependencies. -->\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| {{dependency}} | {{errorStrategy}} | {{timeoutStrategy}} | {{malformedStrategy}} |\n\n## Load Profile\n\n<!-- Q6: What breaks at 10x load? OMIT ENTIRELY for tasks with no shared resources or scaling concerns. -->\n\n- **Shared resources**: {{sharedResources — DB connections, caches, rate limiters, or none}}\n- **Per-operation cost**: {{perOpCost — N API calls, M DB queries, K bytes, or trivial}}\n- **10x breakpoint**: {{whatBreaksFirst — pool exhaustion, rate limit, memory, or N/A}}\n\n## Negative Tests\n\n<!-- Q7: What negative tests prove robustness? OMIT ENTIRELY for trivial tasks. -->\n\n- **Malformed inputs**: {{malformedInputTests — empty string, null, oversized, wrong type}}\n- **Error paths**: {{errorPathTests — network timeout, auth failure, 5xx, invalid JSON}}\n- **Boundary conditions**: {{boundaryTests — empty list, max length, zero, off-by-one}}\n\n## Steps\n\n1. {{step}}\n2. {{step}}\n3. {{step}}\n\n## Must-Haves\n\n- [ ] {{mustHave}}\n- [ ] {{mustHave}}\n\n## Verification\n\n- {{howToVerifyThisTaskIsActuallyDone}}\n- {{commandToRun_OR_behaviorToCheck}}\n\n## Observability Impact\n\n<!-- OMIT THIS SECTION ENTIRELY for simple tasks that don't touch runtime boundaries,\n     async flows, APIs, background processes, or error paths.\n     Include it only when the task meaningfully changes how failures are detected or diagnosed. -->\n\n- Signals added/changed: {{structured logs, statuses, errors, metrics}}\n- How a future agent inspects this: {{command, endpoint, file, UI state}}\n- Failure state exposed: {{what becomes visible on failure}}\n\n## Inputs\n\n<!-- Every input MUST be a backtick-wrapped file path. These paths are machine-parsed to\n     derive task dependencies — vague descriptions without paths break dependency detection.\n     For the first task in a slice with no prior task outputs, list the existing source files\n     this task reads or modifies. -->\n\n- `{{filePath}}` — {{whatThisTaskNeedsFromPriorWork}}\n\n## Expected Output\n\n<!-- Every output MUST be a backtick-wrapped file path — the specific files this task creates\n     or modifies. These paths are machine-parsed to derive task dependencies.\n     This task should produce a real increment toward making the slice goal/demo true. A full\n     slice plan should not be able to mark every task complete while the claimed slice behavior\n     still does not work at the stated proof level. -->\n\n- `{{filePath}}` — {{whatThisTaskCreatesOrModifies}}\n"}],"isError":false,"timestamp":1774937294375}}
{"type":"message","id":"96a9930b","parentId":"59523047","timestamp":"2026-03-31T06:08:28.401Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture. The research doc is accurate. Let me plan this slice.\n\nThe slice has two natural seams as the research identified:\n1. Backend: dynamic related-techniques query + schema enrichment\n2. Frontend: card-based related section\n\nThese are independent — the frontend can be built against the enriched schema and will work once backend is deployed. The backend is the riskier piece.\n\nGiven the scope, 2 tasks is right. The backend task includes the test. The frontend task is CSS/JSX.\n\nNo requirements are directly owned by this slice from the requirements doc. This is a navigation/discovery feature within M010.\n\n\nI'll structure the backend task to handle the query logic and schema changes, then the frontend task for the UI components and styling.","thinkingSignature":"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"},{"type":"text","text":"The codebase matches the research doc's findings. Two clean seams: backend query + schema enrichment, and frontend card UI. Both are independent. The backend is riskier (SQLAlchemy array overlap operator, scoring logic), so it goes first with a test.\n\nNo Active requirements in REQUIREMENTS.md are directly owned by S02 — this is a navigation/discovery feature. R006 (Technique Page Display) is already validated but the related section enrichment touches that surface, so the existing test should keep passing.\n\nLet me check one more thing — whether `topic_tags` overlap is actually usable in SQLAlchemy."},{"type":"toolCall","id":"toolu_011ypq2mwzbHoKXwQDjHbcUs","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && python3 -c \"from sqlalchemy.dialects.postgresql import ARRAY; from sqlalchemy import String, Column; c = Column('tags', ARRAY(String)); print(type(c.type)); print(hasattr(c, 'overlap'))\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":426,"cacheRead":75161,"cacheWrite":2786,"totalTokens":78374,"cost":{"input":0.000005,"output":0.01065,"cacheRead":0.037580499999999996,"cacheWrite":0.0174125,"total":0.065648}},"stopReason":"toolUse","timestamp":1774937294376}}
{"type":"message","id":"6183a899","parentId":"96a9930b","timestamp":"2026-03-31T06:08:28.610Z","message":{"role":"toolResult","toolCallId":"toolu_011ypq2mwzbHoKXwQDjHbcUs","toolName":"bash","content":[{"type":"text","text":"<class 'sqlalchemy.dialects.postgresql.array.ARRAY'>\nTrue\n"}],"isError":false,"timestamp":1774937308608}}
{"type":"message","id":"94fe3c01","parentId":"6183a899","timestamp":"2026-03-31T06:09:28.292Z","message":{"role":"assistant","content":[{"type":"text","text":"Good, `overlap` is available on ARRAY columns. Now I have everything I need to plan.\n\n**Decomposition reasoning:** The research doc identifies two independent seams — backend and frontend. Both are moderate in scope (each ~5 files, 4-5 steps). The backend task includes writing a test for the dynamic query. The frontend task updates the type, JSX, and CSS. Two tasks is the right size — no need for more granularity.\n\nThe existing test in `test_public_api.py` already asserts `related_links >= 1` using the join table link. After the dynamic query replaces/supplements the join table approach, this test should still pass (tp1 and tp3 share the same creator and have overlapping \"bass\" tag). I'll add a dedicated test for the dynamic scoring logic."},{"type":"toolCall","id":"toolu_01HiNY1QXr4Pmaj7jXqgroP1","name":"gsd_plan_slice","arguments":{"goal":"Bottom of every technique page shows 3-4 related techniques from same creator or same sub-topic, computed dynamically from the database without requiring pre-populated join table entries.","integrationClosure":"- Upstream surfaces consumed: `backend/models.py` (TechniquePage model with topic_tags, topic_category, creator_id), `backend/routers/techniques.py` (get_technique endpoint), `frontend/src/api/public-client.ts` (RelatedLinkItem type), `frontend/src/pages/TechniquePage.tsx` (related section JSX)\n- New wiring: dynamic SQL query in get_technique() replaces/supplements empty join table; enriched RelatedLinkItem schema fields flow through to frontend cards\n- What remains: nothing — this slice is self-contained","milestoneId":"M010","observabilityImpact":"- Runtime signals: related_links count in technique detail response (observable in API response)\n- Inspection surfaces: `GET /techniques/{slug}` response body shows related_links array with reason strings explaining why each link was chosen\n- Failure visibility: empty related_links array indicates no peers found (not an error state)\n- Redaction constraints: none","proofLevel":"This slice proves: integration (backend query + frontend rendering of dynamic data). Real runtime required: yes (PostgreSQL array overlap operator). Human/UAT required: no.","sliceId":"S02","successCriteria":"- `GET /techniques/{slug}` returns `related_links` with enriched items (creator_name, topic_category, reason) for any technique that shares a creator, category, or tags with peers\n- Frontend renders related techniques as cards (not plain list) showing title, creator name, category badge, and reason\n- Existing `test_get_technique_detail` still passes (backward compatible)\n- New integration test verifies dynamic scoring logic returns correct results and ordering\n- `npm run build` produces zero TypeScript errors","tasks":[{"description":"Replace the empty join-table-based related links with a dynamic scored query in the technique detail endpoint. Enrich the RelatedLinkItem schema with creator_name, topic_category, and reason fields.\n\n## Steps\n\n1. **Enrich `RelatedLinkItem` in `backend/schemas.py`**: Add three optional string fields: `creator_name: str = \"\"`, `topic_category: str = \"\"`, `reason: str = \"\"`. Keep existing fields unchanged for backward compatibility.\n\n2. **Add dynamic query in `backend/routers/techniques.py`**: After loading the technique page in `get_technique()`, run a second query against `TechniquePage` to find related pages. Scoring logic:\n   - Same `creator_id` AND same `topic_category`: score += 3 (reason: 'Same creator, same topic')\n   - Same `creator_id`, different `topic_category`: score += 2 (reason: 'Same creator')\n   - Same `topic_category`, different `creator_id`: score += 2 (reason: 'Also about {topic_category}')\n   - Overlapping `topic_tags` (PostgreSQL `&&` via `TechniquePage.topic_tags.overlap(current_tags)`): score += 1 per shared tag (reason: 'Shared tags: {tags}')\n   - Exclude the current page by ID\n   - ORDER BY score DESC, LIMIT 4\n   - Build enriched `RelatedLinkItem` objects with the new fields\n   - If the join table also has entries, prefer those (they're manually curated) and fill remaining slots with dynamic results up to 4 total\n\n3. **Keep existing join-table loading**: Don't remove the `selectinload` for outgoing/incoming links — manually curated links take priority when they exist. The dynamic query supplements them.\n\n4. **Write integration test** in `backend/tests/test_public_api.py`: Add `test_dynamic_related_techniques` that:\n   - Creates 4+ technique pages with overlapping tags/categories across 2 creators\n   - Calls `GET /techniques/{slug}` for one of them\n   - Asserts `related_links` is non-empty, contains expected entries, respects the 4-item limit\n   - Asserts `creator_name`, `topic_category`, and `reason` fields are populated\n   - Asserts same-creator same-category pages rank above cross-creator pages\n\n5. **Verify existing test still passes**: Run the full `test_public_api.py` suite to confirm backward compatibility.\n\n## Must-Haves\n\n- [ ] `RelatedLinkItem` schema has `creator_name`, `topic_category`, `reason` fields\n- [ ] Dynamic query uses PostgreSQL array overlap for tag matching\n- [ ] Results limited to 4 items, ordered by relevance score\n- [ ] Current page excluded from results\n- [ ] Manually curated join-table links take priority when present\n- [ ] New integration test passes\n- [ ] Existing `test_get_technique_detail` still passes\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL array overlap | Falls back to creator_id + topic_category matches only (skip tag scoring) | N/A (same DB) | N/A |\n| Empty topic_tags on current page | Skip tag overlap scoring, use only creator/category matching | N/A | N/A |\n\n## Negative Tests\n\n- Technique with no peers (solo creator, unique category, no shared tags) → related_links is empty []\n- Technique with NULL topic_tags → scoring still works on creator_id/topic_category alone\n- Related results don't include the technique itself\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_public_api.py -x -v` — all tests pass including new `test_dynamic_related_techniques`\n- Existing `test_get_technique_detail` still passes (related_links populated from join table + dynamic query)","estimate":"45m","expectedOutput":["`backend/schemas.py` — RelatedLinkItem enriched with creator_name, topic_category, reason fields","`backend/routers/techniques.py` — dynamic scored query in get_technique() endpoint","`backend/tests/test_public_api.py` — new test_dynamic_related_techniques test function"],"files":["backend/schemas.py","backend/routers/techniques.py","backend/tests/test_public_api.py"],"inputs":["`backend/schemas.py` — existing RelatedLinkItem schema (line 243)","`backend/routers/techniques.py` — existing get_technique endpoint (line 109-181)","`backend/models.py` — TechniquePage model with topic_tags, topic_category, creator_id fields","`backend/tests/test_public_api.py` — existing test patterns and _seed_full_data helper"],"taskId":"T01","title":"Dynamic related-techniques query and enriched schema","verify":"cd backend && python -m pytest tests/test_public_api.py -x -v 2>&1 | tail -20"},{"description":"Replace the plain list rendering of related techniques with a responsive card grid. Update the TypeScript interface to match the enriched backend schema.\n\n## Steps\n\n1. **Update `RelatedLinkItem` in `frontend/src/api/public-client.ts`**: Add `creator_name: string`, `topic_category: string`, `reason: string` fields (all optional with defaults for backward compat with empty strings).\n\n2. **Replace list with card grid in `frontend/src/pages/TechniquePage.tsx`**: Remove the `<ul>` list and replace with a CSS grid of cards. Each card shows:\n   - Technique title as a clickable `<Link>` to `/techniques/{target_slug}`\n   - Creator name (if non-empty) in muted text\n   - Topic category as a small badge (reuse existing `.badge` CSS patterns)\n   - Reason text in small muted text below\n   Use semantic class names: `.related-card`, `.related-card__title`, `.related-card__creator`, `.related-card__badge`, `.related-card__reason`\n\n3. **Update CSS in `frontend/src/App.css`**: Replace `.technique-related__list` styles with:\n   - `.technique-related__grid`: CSS grid, 2 columns on desktop (min-width: 600px), 1 column on mobile\n   - `.related-card`: background var(--color-surface-card), border-radius, padding, border using existing design tokens\n   - `.related-card__title`: link color, font-weight 600\n   - `.related-card__creator`: muted text, small font\n   - `.related-card__badge`: reuse existing badge pattern (small, inline, category-colored)\n   - `.related-card__reason`: muted, italic, smallest font size\n   Keep the existing `.technique-related` and `.technique-related h2` styles.\n\n4. **Build verification**: Run `cd frontend && npm run build` to confirm zero TypeScript errors and successful production build.\n\n## Must-Haves\n\n- [ ] `RelatedLinkItem` TypeScript interface includes creator_name, topic_category, reason\n- [ ] Related section renders as card grid, not plain list\n- [ ] Cards show title (linked), creator name, category badge, reason\n- [ ] Responsive: 2 columns on desktop, 1 on mobile\n- [ ] `npm run build` passes with zero errors\n\n## Verification\n\n- `cd frontend && npm run build 2>&1 | tail -5` — build succeeds with zero errors\n- `grep -c 'related-card' frontend/src/App.css` returns >= 4 (card styles exist)\n- `grep -q 'creator_name' frontend/src/api/public-client.ts` confirms type updated","estimate":"30m","expectedOutput":["`frontend/src/api/public-client.ts` — RelatedLinkItem with creator_name, topic_category, reason fields","`frontend/src/pages/TechniquePage.tsx` — card-based related techniques grid replacing plain list","`frontend/src/App.css` — new .related-card grid styles replacing .technique-related__list"],"files":["frontend/src/api/public-client.ts","frontend/src/pages/TechniquePage.tsx","frontend/src/App.css"],"inputs":["`frontend/src/api/public-client.ts` — existing RelatedLinkItem interface (line 48-52)","`frontend/src/pages/TechniquePage.tsx` — existing related section rendering (line 494-511)","`frontend/src/App.css` — existing .technique-related styles (line 1774-1808)"],"taskId":"T02","title":"Frontend card-based related techniques section","verify":"cd frontend && npm run build 2>&1 | tail -5"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":3107,"cacheRead":77947,"cacheWrite":295,"totalTokens":81350,"cost":{"input":0.000005,"output":0.07767500000000001,"cacheRead":0.0389735,"cacheWrite":0.0018437500000000001,"total":0.11849725000000003}},"stopReason":"toolUse","timestamp":1774937308609}}
{"type":"message","id":"c834ea24","parentId":"94fe3c01","timestamp":"2026-03-31T06:09:28.336Z","message":{"role":"toolResult","toolCallId":"toolu_01HiNY1QXr4Pmaj7jXqgroP1","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S02 (M010)"}],"details":{"operation":"plan_slice","milestoneId":"M010","sliceId":"S02","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M010/slices/S02/S02-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M010/slices/S02/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M010/slices/S02/tasks/T02-PLAN.md"]},"isError":false,"timestamp":1774937368334}}
{"type":"message","id":"33f835b0","parentId":"c834ea24","timestamp":"2026-03-31T06:09:30.796Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S02 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":10,"cacheRead":78242,"cacheWrite":3095,"totalTokens":81348,"cost":{"input":0.000005,"output":0.00025,"cacheRead":0.039120999999999996,"cacheWrite":0.01934375,"total":0.058719749999999994}},"stopReason":"stop","timestamp":1774937368335}}
