{"type":"thinking_level_change","id":"9364a971","parentId":null,"timestamp":"2026-03-30T08:49:34.650Z","thinkingLevel":"off"}
{"type":"model_change","id":"b6993339","parentId":"9364a971","timestamp":"2026-03-30T08:49:34.652Z","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## Requirements Advanced\n\n- R006 — Technique page now has structured 2-column layout separating prose from reference material, improving readability and navigation\n\n## Requirements Validated\n\nNone.\n\n## Requirements Invalidated or Re-scoped\n\nNone.\n\n## UNIT: Research Slice S03 (\"Key Moment Card Redesign\") — Milestone M005\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M005/M005-ROADMAP.md`\n\n# M005: \n\n## Vision\nAdd a pipeline management dashboard under admin (trigger, pause, monitor, view logs/token usage/JSON responses), redesign technique pages with a 2-column layout (prose left, moments/chains/plugins right), and clean up key moment card presentation for consistent readability.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Pipeline Admin Dashboard | high | — | ✅ | Admin page at /admin/pipeline shows video list with status, retrigger button, and log viewer with token counts and expandable JSON responses |\n| S02 | Technique Page 2-Column Layout | medium | — | ✅ | Technique page shows prose content on left, plugins/moments/chains on right at desktop widths. Single column on mobile. |\n| S03 | Key Moment Card Redesign | low | S02 | ⬜ | Key moment cards show title prominently on its own line, with source file, timestamp, and type badge on a clean secondary row |\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions (compact)\nFields: id | when | scope | decision | choice | rationale | revisable | made_by\n\nD019 | 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\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### Project Knowledge\nSource: `.gsd/KNOWLEDGE.md`\n\n# KNOWLEDGE\n\n## SQLAlchemy column names that shadow ORM functions\n\n**Context:** If a model has a column named `relationship` (or any other ORM function name like `query`, `metadata`), Python resolves the name to the column's `MappedColumn` descriptor within the class body. This causes `relationship(...)` calls below it to fail with \"MappedColumn object is not callable\".\n\n**Fix:** Import with an alias: `from sqlalchemy.orm import relationship as sa_relationship` and use `sa_relationship(...)` throughout. Alternatively, rename the database column, but the spec defines `relationship` as the column name so we preserved it.\n\n## Docker Compose variable interpolation and `:?` syntax\n\n**Context:** `${VAR:?error message}` in docker-compose.yml makes `docker compose config` fail when the variable is unset, even if `env_file: required: false` is used. The `required: false` only controls whether the `.env` file must exist — it does NOT provide defaults for variables referenced with `:?`.\n\n**Fix:** Use `${VAR:-default}` for variables that need a fallback, or ensure the variable is always set in the environment.\n\n## Host port 8000 conflict with kerf-engine\n\n**Context:** The kerf-engine Docker container (`kerf-engine-kerf-engine-1`) binds to `0.0.0.0:8000`. When testing the Chrysopedia API locally (outside Docker), curl requests to `localhost:8000` hit the kerf-engine container instead of the local uvicorn process, even when uvicorn binds to `127.0.0.1:8000`.\n\n**Fix:** Use an alternate port (e.g., 8001) for local testing. In Docker Compose, chrysopedia-api maps `127.0.0.1:8000:8000` which is fine because it goes through Docker's port forwarding, but will conflict with kerf-engine if both stacks run simultaneously. Consider changing one project's external port mapping.\n\n## asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns\n\n**Context:** SQLAlchemy models using `default=datetime.now(timezone.utc)` produce timezone-aware Python datetimes. When the PostgreSQL column type is `TIMESTAMP WITHOUT TIME ZONE` (the default), asyncpg raises `DataError: can't subtract offset-naive and offset-aware datetimes`. This only surfaces when running against a real PostgreSQL database — SQLite-based tests won't catch it.\n\n**Fix:** Use `datetime.now(timezone.utc).replace(tzinfo=None)` in the `_now()` helper, or change the column type to `TIMESTAMP WITH TIME ZONE`. We chose the former since the existing schema uses naive timestamps.\n\n## asyncpg NullPool required for pytest-asyncio integration tests\n\n**Context:** When using a session-scoped SQLAlchemy async engine with asyncpg in pytest-asyncio tests, the connection pool reuses connections across fixtures and test functions. This causes `InterfaceError: cannot perform operation: another operation is in progress` because the ASGI test client's session holds a connection while cleanup/verification fixtures try to use the same pool.\n\n**Fix:** Use `poolclass=NullPool` when creating the test engine. Each connection is created fresh and immediately closed, eliminating contention. Performance cost is negligible for test suites.\n\n## Testing Celery tasks that use sync SQLAlchemy: patch module-level globals\n\n**Context:** Pipeline stages in `pipeline/stages.py` create their own sync SQLAlchemy engine/session via module-level `_engine` and `_SessionLocal` globals (because Celery is sync, not async). Tests need to redirect these to the test database, but the engine is created lazily at module scope.\n\n**Fix:** Patch the module globals directly: `unittest.mock.patch.object(stages, '_engine', test_engine)` and `unittest.mock.patch.object(stages, '_SessionLocal', test_session_factory)`. This redirects all DB access in stage functions to the test database without modifying production code.\n\n## Lazy imports in FastAPI handlers defeat simple mock patching\n\n**Context:** When a FastAPI handler imports a function lazily (inside the function body) like `from pipeline.stages import run_pipeline`, patching `routers.ingest.run_pipeline` has no effect because the name is re-bound on every call from the source module.\n\n**Fix:** Patch at the source module: `unittest.mock.patch('pipeline.stages.run_pipeline')`. The lazy import will pick up the mock from the source module. This applies to any handler that uses lazy imports to avoid circular dependencies at module load time.\n\n## Separate async/sync clients for FastAPI vs Celery\n\n**Context:** The Chrysopedia backend has both sync Celery tasks (pipeline stages using `openai.OpenAI`, `QdrantClient`, sync SQLAlchemy) and async FastAPI handlers. Reusing sync clients in async handlers blocks the event loop; reusing async clients in Celery risks nested event loop errors.\n\n**Fix:** Create separate client classes: `SearchService` (async, for FastAPI request path) wraps `openai.AsyncOpenAI` and `AsyncQdrantClient`. The pipeline's `EmbeddingClient` and `QdrantManager` (sync, for Celery) remain untouched. This doubles the client code surface but eliminates the async/sync mismatch class of bugs entirely.\n\n## Mocking SearchService at the router dependency level for tests\n\n**Context:** The search endpoint creates a `SearchService` instance internally. Testing search results with real embedding API and Qdrant is fragile (external dependencies). Mocking individual `openai.AsyncOpenAI` or `AsyncQdrantClient` is complex.\n\n**Fix:** Mock `SearchService` at the router level by patching the service instance in the endpoint function. This gives full control over search results in tests without complex async mock setup. Used in `test_search.py` — mock returns canned `SearchResponse` dicts.\n\n## Frontend detail page without a single-resource GET endpoint\n\n**Context:** The review queue backend has `GET /review/queue` (list, paginated) but no `GET /review/moments/{id}` for fetching a single moment. The MomentDetail page needs to display one specific moment by ID from the URL params.\n\n**Fix:** MomentDetail fetches the full queue with `limit=500` and filters client-side by ID. This works for a single-admin tool with small datasets but would not scale. If the moment count grows significantly, add a dedicated `GET /review/moments/{id}` endpoint to the review router.\n\n**Update (M004/S01):** Fixed properly — added `GET /review/moments/{id}` endpoint. Always add single-resource GET endpoints alongside list endpoints.\n\n## CSS custom property count estimation\n\n**Context:** When planning a full color abstraction pass (replacing all hardcoded hex/rgba with CSS custom properties), initial estimates based on counting unique colors will significantly undercount the required tokens.\n\n**Rule:** Plan for 2-3x the obvious color count. Reasons: hover/focus/active state variants, badge/status color pairs (background + text), subtle vs strong accent variants, shadow colors, overlay backgrounds, and distinct semantic contexts (surface vs input vs card). M004/S02 planned ~30, needed 77.\n\n## Chained selectinload for cross-relation field population\n\n**Context:** When an API response needs a field from a joined relation (e.g., `key_moment.source_video.filename`), Pydantic's `from_attributes` auto-mapping can't traverse the join. The field appears as a flat attribute on the response schema but comes from a different table.\n\n**Fix:** Chain `.selectinload()` in the query (e.g., `.selectinload(TechniquePage.key_moments).selectinload(KeyMoment.source_video)`), then post-process in a loop to copy the joined value into the schema field. This keeps the query efficient (two SELECTs) and the response schema flat.\n\n## Pre-overwrite snapshot pattern for article versioning\n\n**Context:** Need to track content versions without complex CDC (change data capture) infrastructure. The content lives in a single mutable row that gets overwritten on each pipeline run.\n\n**Pattern:** Before mutating the row, SELECT its current state, serialize relevant fields to JSONB (`content_snapshot`), attach pipeline metadata (prompt file hashes, model config) as a second JSONB column, and INSERT into a versions table. Use best-effort error handling — snapshot failure logs ERROR but doesn't block the primary write. Composite unique index on (entity_id, version_number) enforces ordering at DB level.\n\n## Stage 4 classification data stored in Redis (not DB columns)\n\n**Context:** The KeyMoment SQLAlchemy model doesn't have `topic_tags` or `topic_category` columns. Stage 4 classification needs somewhere to store per-moment tag assignments that stage 5 can read.\n\n**Fix:** Store classification results in Redis under key `chrysopedia:classification:{video_id}` with a 24-hour TTL. Stage 5 reads from Redis. This avoids schema migrations during initial pipeline development. The data is ephemeral — if Redis loses it, re-running stage 4 regenerates it.\n\n## QdrantManager uses random UUIDs for point IDs\n\n**Context:** `QdrantManager.upsert_technique_pages()` and `upsert_key_moments()` generate `uuid4()` for each Qdrant point. Re-indexing the same content creates duplicate points rather than updating existing ones.\n\n**Fix (deferred):** Use deterministic UUIDs based on content hash (e.g., `uuid5(NAMESPACE, f\"{technique_slug}:{section}\")`) so re-indexing overwrites the same points. This should be addressed before running the pipeline on production data to avoid index bloat.\n\n## Non-blocking side-effect pattern for external service calls in pipelines\n\n**Context:** Celery pipeline stages that call external services (embedding API, Qdrant) should not fail the entire pipeline if those services are down. Stage 6 (embed_and_index) is valuable but not critical — the pipeline's primary output (technique pages in PostgreSQL) doesn't depend on it.\n\n**Fix:** Use `max_retries=0` and a catch-all exception handler that logs WARNING and returns without raising. The pipeline orchestrator chains stage 6 after stage 5 but a failure there doesn't prevent `processing_status` from reaching its final state. This pattern applies to any \"best-effort enrichment\" stage in a pipeline.\n\n## Container healthcheck tool availability varies by base image\n\n**Context:** Qdrant (distroless-ish), Ollama, and nginx-alpine images don't have curl or wget. Standard healthcheck patterns like `curl -f http://localhost:PORT/health` fail silently inside these containers.\n\n**Fix by image:**\n- **Ollama:** Use `ollama list` (built-in CLI)\n- **Qdrant:** Use `bash -c 'echo > /dev/tcp/localhost/6333'` (bash is available)\n- **nginx-alpine:** Use `curl` (available) but NOT busybox `wget` (fails on localhost)\n- **Celery worker (same image as API):** Use `celery -A worker inspect ping` instead of HTTP healthcheck\n\n**Rule:** Always `docker exec <container> <healthcheck-cmd>` to verify the command works before deploying.\n\n## XPLTD domain setup flow\n\n**Context:** Adding a new external domain (like chrysopedia.com) to the XPLTD infrastructure requires three steps across two machines.\n\n**Flow:**\n1. **AdGuard on ub01 (10.0.0.10):** Add DNS rewrite via API: `POST /control/rewrite/add` with `{domain, answer: \"10.0.0.9\"}`\n2. **nginx on nuc01 (10.0.0.9):** Create server block in `/etc/nginx/sites-enabled/{domain}.conf` with `proxy_pass http://10.0.0.10:{port}`\n3. **Certbot on nuc01:** `sudo certbot --nginx -d {domain}` (requires external DNS A record or CNAME pointing to public IP first)\n\n**Note:** The AD DNS servers (10.0.0.15/.16) may already have CNAME entries for domains. Check `nslookup {domain} 10.0.0.15` before assuming setup is needed. ub01's resolv.conf uses AD DNS, not AdGuard, so `curl {domain}` from ub01 requires the AD DNS chain to resolve.\n\n## Alembic env.py sys.path needs both local and Docker paths\n\n**Context:** Alembic's env.py imports from `database` and `models`, which live in `backend/` locally but at `/app/` (the WORKDIR) inside Docker. The original `sys.path.insert(0, \"../backend\")` works locally but fails in Docker.\n\n**Fix:** Add both paths: `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \"..\", \"backend\"))` AND `sys.path.insert(0, os.path.join(os.path.dirname(__file__), \"..\"))`. The second resolves to `/app/` inside Docker.\n\n## Nginx stale DNS after Docker container rebuild\n\n**Context:** When an API container behind an nginx reverse proxy in Docker Compose is rebuilt (new container ID, new internal IP), the nginx container's DNS resolver cache still points to the old IP. Requests through nginx return 502 Bad Gateway even though the API is healthy on its new IP.\n\n**Fix:** Restart the nginx/web container after rebuilding upstream containers: `docker compose restart chrysopedia-web-8096`. Alternatively, configure nginx with `resolver 127.0.0.11 valid=10s;` in the upstream block to use Docker's embedded DNS with a short TTL, but the restart is simpler for a single-admin deployment.\n\n---\n\n# {{scope}} — Research\n\n**Date:** {{date}}\n\n<!-- Required sections: Summary, Recommendation, Implementation Landscape.\n     All other sections: include only when they have real content.\n     For light research (straightforward work with known patterns),\n     the required sections alone are sufficient. -->\n\n## Summary\n\n{{summary — 2-3 paragraphs with primary recommendation}}\n\n## Recommendation\n\n{{whatApproachToTake_AND_why}}\n\n## Implementation Landscape\n\n<!-- This section is the primary input for the planner agent.\n     Be specific — file paths, function names, patterns to follow.\n     The planner uses this to scope tasks to files and decide build order. -->\n\n### Key Files\n\n- `{{filePath}}` — {{whatItDoesAndHowItRelates}}\n- `{{filePath}}` — {{whatNeedsToChange}}\n\n### Build Order\n\n{{whatToProveOrBuildFirst_AND_why — whatUnblocksDownstreamWork}}\n\n### Verification Approach\n\n{{howToConfirmTheSliceWorks — commands, tests, observable behaviors}}\n\n<!-- Sections below: include when applicable, omit entirely when not. -->\n\n## Don't Hand-Roll\n\n<!-- Include when existing libraries/tools solve problems the slice would otherwise reimplement. -->\n\n| Problem | Existing Solution | Why Use It |\n|---------|------------------|------------|\n| {{problem}} | {{solution}} | {{why}} |\n\n## Constraints\n\n<!-- Include when the codebase, runtime, or dependencies impose hard limits on approach. -->\n\n- {{hardConstraintFromCodebaseOrRuntime}}\n- {{constraintFromDependencies}}\n\n## Common Pitfalls\n\n<!-- Include when there are non-obvious failure modes worth flagging. -->\n\n- **{{pitfall}}** — {{howToAvoid}}\n- **{{pitfall}}** — {{howToAvoid}}\n\n## Open Risks\n\n<!-- Include when execution could hit unknowns that affect the plan. -->\n\n- {{riskThatCouldSurfaceDuringExecution}}\n\n## Skills Discovered\n\n<!-- Include when skill discovery found relevant skills. -->\n\n| Technology | Skill | Status |\n|------------|-------|--------|\n| {{technology}} | {{owner/repo@skill}} | {{installed / available / none found}} |\n\n## Sources\n\n<!-- Include when external docs, articles, or references informed the research. -->\n\n- {{whatWasLearned}} (source: [{{title}}]({{url}}))\n\n### Output Template: Research\nSource: `templates/research.md`\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 to watch out for.\n\n#### S02 Summary\nSource: `.gsd/milestones/M005/slices/S02/S02-SUMMARY.md`\n\n---\nid: S02\nparent: M005\nmilestone: M005\nprovides:\n  - 2-column technique page layout with 22rem sidebar containing key moments, signal chains, plugins, and related techniques\nrequires:\n  []\naffects:\n  - S03\nkey_files:\n  - frontend/src/App.css\n  - frontend/src/pages/TechniquePage.tsx\nkey_decisions:\n  - Sidebar fixed at 22rem width with sticky positioning at 1.5rem from top\n  - Page max-width widened from 48rem to 64rem to accommodate sidebar\n  - 768px breakpoint for responsive collapse aligns with existing mobile styles\npatterns_established:\n  - CSS grid 2-column layout pattern: 1fr + fixed sidebar with sticky positioning and responsive collapse\nobservability_surfaces:\n  - none\ndrill_down_paths:\n  - .gsd/milestones/M005/slices/S02/tasks/T01-SUMMARY.md\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-03-30T08:49:31.884Z\nblocker_discovered: false\n---\n\n# S02: Technique Page 2-Column Layout\n\n**Technique pages now display prose content (summary + study guide) in a left column and sidebar content (key moments, signal chains, plugins, related techniques) in a right column at desktop widths, collapsing to single column on mobile.**\n\n## What Happened\n\nThis slice restructured the technique page from a single-column flow to a 2-column CSS grid layout. The .technique-page max-width was widened from 48rem to 64rem to accommodate the sidebar. A new .technique-columns grid wrapper splits content into a 1fr main column and 22rem sidebar column with 2rem gap. The sidebar uses sticky positioning (top: 1.5rem) so navigation aids remain visible while scrolling long prose. At ≤768px the grid collapses to a single column with static positioning, preserving the existing mobile experience.\n\nIn TechniquePage.tsx, the content below the header/report-modal was wrapped in the grid container. The main column contains the Summary section and Body Sections (study guide prose). The sidebar column contains Key Moments, Signal Chains, Plugins, and Related Techniques. The header and report modal remain above the grid at full width.\n\nAll new CSS uses only structural properties (grid, gap, positioning) with no hardcoded colors, staying consistent with the existing custom property system. TypeScript compilation and production build both pass cleanly. The Docker web container was rebuilt and restarted on ub01.\n\n## Verification\n\nTypeScript compilation (tsc --noEmit) passed with zero errors. Production build (npm run build) succeeded — 46 modules, 658ms. Docker web container (chrysopedia-web-8096) rebuilt, restarted, and healthy. Browser verification confirmed 2-column layout at desktop width and single-column collapse at 375px mobile width. No hardcoded colors in new CSS rules. All plan must-haves satisfied.\n\n## New Requirements Surfaced\n\nNone.\n\n## Deviations\n\nDocker service name is chrysopedia-web not chrysopedia-web-8096 as plan stated (compose service vs container name). Had to run npm install on ub01 before type checking. TechniquePage.tsx was 505 lines not ~310 as estimated — component is larger than plan assumed.\n\n## Known Limitations\n\nNone.\n\n## Follow-ups\n\nS03 (Key Moment Card Redesign) depends on this slice — the sidebar column constrains card width to 22rem which may affect card layout decisions.\n\n## Files Created/Modified\n\n- `frontend/src/App.css` — Widened .technique-page max-width from 48rem to 64rem. Added .technique-columns CSS grid (1fr 22rem), .technique-columns__main, .technique-columns__sidebar with sticky positioning, and @media 768px breakpoint for single-column collapse.\n- `frontend/src/pages/TechniquePage.tsx` — Wrapped content sections in .technique-columns grid. Summary + body sections in __main div. Key moments + signal chains + plugins + related techniques in __sidebar div.\n\n## Your Role in the Pipeline\n\nYou are the scout. After you finish, a **planner agent** reads your output in a fresh context with no memory of your exploration. It uses your findings to decompose this slice into executable tasks — deciding what files change, what order to build things, how to verify the work. Then **executor agents** build each task in isolated context windows.\n\nWrite for the planner, not for a human. The planner needs:\n- **What files exist and what they do** — so it can scope tasks to specific files\n- **Where the natural seams are** — where work divides into independent units\n- **What to build or prove first** — what's riskiest, what unblocks everything else\n- **How to verify the result** — what commands, tests, or checks confirm the slice works\n\nIf the research doc is vague, the planner will waste its context re-exploring code you already read. If it's precise, the planner can decompose immediately.\n\n## Calibrate Depth\n\nRead the slice title, the roadmap excerpt, and any milestone research above. Ask: does this slice involve unfamiliar technology, risky integration, novel architecture, or ambiguous requirements? Or is it straightforward application of known patterns to known code?\n\n- **Deep research** — new technology, unfamiliar APIs, risky integration, multiple viable approaches, or ambiguous scope. Explore broadly, look up docs, check libraries, investigate constraints. Write all template sections. This is the default when you're genuinely uncertain.\n- **Targeted research** — known technology but new to this codebase, or moderately complex integration. Explore the relevant code, check one or two libraries, identify constraints. Omit Don't Hand-Roll and Sources if nothing applies.\n- **Light research** — well-understood work using established patterns already in the codebase (wiring up existing APIs, adding standard UI components, CRUD operations, configuration changes). Read the relevant files to confirm the pattern, note any constraints, write Summary + Recommendation + Implementation Landscape. Skip the rest. A light research doc can be 15-20 lines. Don't manufacture pitfalls or risks for work that doesn't have them.\n\nAn honest \"this is straightforward, here's the pattern to follow\" is more valuable than invented complexity.\n\n## Steps\n\nResearch what this slice needs. Narrate key findings and surprises as you go — what exists, what's missing, what constrains the approach.\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements this slice owns or supports. Research should target these requirements — surfacing risks, unknowns, and implementation constraints that could affect whether the slice actually delivers them.\n1.  Reference specific rules from loaded skills in your findings where they inform the implementation approach.\n2. **Skill Discovery (suggest):**\n   Identify the key technologies, frameworks, and services this work depends on (e.g. Stripe, Clerk, Supabase, JUCE, SwiftUI).\n   For each, check if a professional agent skill already exists:\n   - First check `<available_skills>` in your system prompt — a skill may already be installed.\n   - For technologies without an installed skill, run: `npx skills find \"<technology>\"`\n   - Only consider skills that are **directly relevant** to core technologies — not tangentially related.\n   - Evaluate results by install count and relevance to the actual work.\n   - Note promising skills in your research output with their install commands, but do NOT install them.\n   - The user will decide which to install.\n3. Explore relevant code for this slice's scope. For targeted exploration, use `rg`, `find`, and reads. For broad or unfamiliar subsystems, use `scout` to map the relevant area first.\n4. Use `resolve_library` / `get_library_docs` for unfamiliar libraries — skip this for libraries already used in the codebase\n5. **Web search budget:** You have a limited budget of web searches (max ~15 per session). Use them strategically — prefer `resolve_library` / `get_library_docs` for library documentation. Do NOT repeat the same or similar queries. If a search didn't find what you need, rephrase once or move on. Target 3-5 total web searches for a typical research unit.\n6. Use the **Research** output template from the inlined context above — include only sections that have real content. The template is already inlined above; do NOT attempt to read any template file from disk (there is no `templates/SLICE-RESEARCH.md` — the correct template is already present in this prompt).\n7. Call `gsd_summary_save` with `milestone_id: M005`, `slice_id: S03`, `artifact_type: \"RESEARCH\"`, and the full research markdown as `content` — the tool computes the file path and persists to both DB and disk.\n\nThe slice directory already exists at `.gsd/milestones/M005/slices/S03/`. Do NOT mkdir.\n\n**You MUST call `gsd_summary_save` with the research content before finishing.**\n\nWhen done, say: \"Slice S03 researched.\"","display":false,"id":"73e47ab6","parentId":"b6993339","timestamp":"2026-03-30T08:49:34.654Z"}
{"type":"message","id":"c497083e","parentId":"73e47ab6","timestamp":"2026-03-30T08:49:40.455Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll research the Key Moment Card Redesign slice. This is straightforward CSS/JSX work — known patterns, known codebase. Let me confirm the current card structure and constraints."},{"type":"toolCall","id":"toolu_01R4KpE74dQEXeG2eyujCDoD","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"key-moment\" frontend/src/App.css | head -40"}},{"type":"toolCall","id":"toolu_01LTakpF3hUrx5vyBJAiVvXB","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -n \"KeyMoment\\|key.moment\\|key_moment\" frontend/src/pages/TechniquePage.tsx | head -40"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":218,"cacheRead":57253,"cacheWrite":8571,"totalTokens":66045,"cost":{"input":0.000015000000000000002,"output":0.00545,"cacheRead":0.0286265,"cacheWrite":0.053568750000000005,"total":0.08766025}},"stopReason":"toolUse","timestamp":1774860574653}}
{"type":"message","id":"e8bcf97c","parentId":"c497083e","timestamp":"2026-03-30T08:49:40.473Z","message":{"role":"toolResult","toolCallId":"toolu_01R4KpE74dQEXeG2eyujCDoD","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774860580473}}
{"type":"message","id":"a7ab5058","parentId":"e8bcf97c","timestamp":"2026-03-30T08:49:40.479Z","message":{"role":"toolResult","toolCallId":"toolu_01LTakpF3hUrx5vyBJAiVvXB","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774860580477}}
{"type":"message","id":"d583f62c","parentId":"a7ab5058","timestamp":"2026-03-30T08:49:44.751Z","message":{"role":"assistant","content":[{"type":"text","text":"No results — the component might use different naming. Let me find where key moment cards are rendered."},{"type":"toolCall","id":"toolu_01ANL9oSGmdxQ7gPvCgtxYfq","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -rn \"moment\" frontend/src/pages/TechniquePage.tsx | head -30"}},{"type":"toolCall","id":"toolu_01MiqC6JKj8MAzGCnLCiaRfo","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && rg -rn \"moment\" frontend/src/App.css | head -30"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":183,"cacheRead":65824,"cacheWrite":286,"totalTokens":66294,"cost":{"input":0.000005,"output":0.004575,"cacheRead":0.032912,"cacheWrite":0.0017875,"total":0.039279499999999995}},"stopReason":"toolUse","timestamp":1774860580478}}
{"type":"message","id":"3b06acce","parentId":"d583f62c","timestamp":"2026-03-30T08:49:44.765Z","message":{"role":"toolResult","toolCallId":"toolu_01ANL9oSGmdxQ7gPvCgtxYfq","toolName":"bash","content":[{"type":"text","text":"              technique.key_ns\n            const nCount = technique.key_ns.length;\n              `${nCount} key n${nCount !== 1 ? \"s\" : \"\"}`,\n          {/* Key ns (always from live data — not versioned) */}\n      {technique.key_ns.length > 0 && (\n        <section className=\"technique-ns\">\n          <ol className=\"technique-ns__list\">\n            {technique.key_ns.map((km) => (\n              <li key={km.id} className=\"technique-n\">\n                <div className=\"technique-n__header\">\n                  <span className=\"technique-n__title\">{km.title}</span>\n                    <span className=\"technique-n__source\">\n                  <span className=\"technique-n__time\">\n                <p className=\"technique-n__summary\">{km.summary}</p>\n"}],"isError":false,"timestamp":1774860584765}}
{"type":"message","id":"2ae3aa6a","parentId":"3b06acce","timestamp":"2026-03-30T08:49:44.769Z","message":{"role":"toolResult","toolCallId":"toolu_01MiqC6JKj8MAzGCnLCiaRfo","toolName":"bash","content":[{"type":"text","text":"  --color-badge-type-n-bg: #422006;\n  --color-badge-type-n-text: #fcd34d;\n.typeahead-item__type--key_n {\n  background: var(--color-badge-type-n-bg);\n  color: var(--color-badge-type-n-text);\n.badge--type-key_n {\n  background: var(--color-badge-type-n-bg);\n  color: var(--color-badge-type-n-text);\n/* ── Key ns list ─────────────────────────────────────────────────────── */\n.technique-ns {\n.technique-ns h2 {\n.technique-ns__list {\n.technique-n {\n.technique-n__header {\n.technique-n__title {\n.technique-n__time {\n.technique-n__source {\n.technique-n__summary {\n"}],"isError":false,"timestamp":1774860584768}}
{"type":"message","id":"db9ef620","parentId":"2ae3aa6a","timestamp":"2026-03-30T08:49:49.818Z","message":{"role":"assistant","content":[{"type":"text","text":"The output is being truncated — likely a display filter on the word \"moment\". Let me read the actual files directly."},{"type":"toolCall","id":"toolu_01P84dy914dEY5GY5uRopvih","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"technique-m\\|technique-mom\\|\\.technique-k\" frontend/src/App.css | head -30"}},{"type":"toolCall","id":"toolu_01K5fQuK8kUzfrH8jum86mKW","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -c \"\" frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":186,"cacheRead":66110,"cacheWrite":674,"totalTokens":66971,"cost":{"input":0.000005,"output":0.0046500000000000005,"cacheRead":0.033055,"cacheWrite":0.0042125,"total":0.0419225}},"stopReason":"toolUse","timestamp":1774860584768}}
{"type":"message","id":"5770eaf1","parentId":"db9ef620","timestamp":"2026-03-30T08:49:49.834Z","message":{"role":"toolResult","toolCallId":"toolu_01P84dy914dEY5GY5uRopvih","toolName":"bash","content":[{"type":"text","text":"1320:.technique-moments {\n1324:.technique-moments h2 {\n1330:.technique-moments__list {\n1337:.technique-moment {\n1344:.technique-moment__header {\n1352:.technique-moment__title {\n1357:.technique-moment__time {\n1363:.technique-moment__source {\n1373:.technique-moment__summary {\n"}],"isError":false,"timestamp":1774860589834}}
{"type":"message","id":"a7300366","parentId":"5770eaf1","timestamp":"2026-03-30T08:49:49.838Z","message":{"role":"toolResult","toolCallId":"toolu_01K5fQuK8kUzfrH8jum86mKW","toolName":"bash","content":[{"type":"text","text":"2789\n"}],"isError":false,"timestamp":1774860589837}}
{"type":"message","id":"56acf383","parentId":"a7300366","timestamp":"2026-03-30T08:49:53.869Z","message":{"role":"assistant","content":[{"type":"text","text":"Now I can read the relevant CSS section."},{"type":"toolCall","id":"toolu_019zxZ3iWRPrfqPqscts8akh","name":"read","arguments":{"limit":80,"offset":1315,"path":"frontend/src/App.css"}},{"type":"toolCall","id":"toolu_01LziuYAs46MMivQwemNrzQp","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"technique-moment\\|key_moment\\|KeyMoment\\|\\.technique-mom\" frontend/src/pages/TechniquePage.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":190,"cacheRead":66784,"cacheWrite":337,"totalTokens":67312,"cost":{"input":0.000005,"output":0.00475,"cacheRead":0.033392,"cacheWrite":0.00210625,"total":0.04025325}},"stopReason":"toolUse","timestamp":1774860589837}}
{"type":"message","id":"238c0c6e","parentId":"56acf383","timestamp":"2026-03-30T08:49:53.881Z","message":{"role":"toolResult","toolCallId":"toolu_019zxZ3iWRPrfqPqscts8akh","toolName":"read","content":[{"type":"text","text":"  line-height: 1.5;\n}\n\n/* ── Key moments list ─────────────────────────────────────────────────────── */\n\n.technique-moments {\n  margin-bottom: 2rem;\n}\n\n.technique-moments h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.75rem;\n}\n\n.technique-moments__list {\n  list-style: none;\n  display: flex;\n  flex-direction: column;\n  gap: 0.75rem;\n}\n\n.technique-moment {\n  padding: 0.875rem 1rem;\n  background: var(--color-bg-surface);\n  border: 1px solid var(--color-border);\n  border-radius: 0.5rem;\n}\n\n.technique-moment__header {\n  display: flex;\n  align-items: center;\n  gap: 0.5rem;\n  margin-bottom: 0.25rem;\n  flex-wrap: wrap;\n}\n\n.technique-moment__title {\n  font-size: 0.9375rem;\n  font-weight: 600;\n}\n\n.technique-moment__time {\n  font-size: 0.75rem;\n  color: var(--color-text-secondary);\n  font-variant-numeric: tabular-nums;\n}\n\n.technique-moment__source {\n  font-size: 0.75rem;\n  color: var(--color-text-muted);\n  font-family: \"SF Mono\", \"Fira Code\", \"Fira Mono\", \"Roboto Mono\", monospace;\n  max-width: 20rem;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n\n.technique-moment__summary {\n  font-size: 0.8125rem;\n  color: var(--color-text-secondary);\n  line-height: 1.5;\n}\n\n/* ── Signal chains ────────────────────────────────────────────────────────── */\n\n.technique-chains {\n  margin-bottom: 2rem;\n}\n\n.technique-chains h2 {\n  font-size: 1.25rem;\n  font-weight: 700;\n  margin-bottom: 0.75rem;\n}\n\n.technique-chain {\n  margin-bottom: 1rem;\n  padding: 1rem;\n  background: var(--color-bg-surface);\n\n[1396 more lines in file. Use offset=1395 to continue.]"}],"isError":false,"timestamp":1774860593881}}
{"type":"message","id":"355a97e5","parentId":"238c0c6e","timestamp":"2026-03-30T08:49:53.885Z","message":{"role":"toolResult","toolCallId":"toolu_01LziuYAs46MMivQwemNrzQp","toolName":"bash","content":[{"type":"text","text":"261:              technique.key_moments\n265:            const momentCount = technique.key_moments.length;\n409:      {technique.key_moments.length > 0 && (\n410:        <section className=\"technique-moments\">\n412:          <ol className=\"technique-moments__list\">\n413:            {technique.key_moments.map((km) => (\n414:              <li key={km.id} className=\"technique-moment\">\n415:                <div className=\"technique-moment__header\">\n416:                  <span className=\"technique-moment__title\">{km.title}</span>\n418:                    <span className=\"technique-moment__source\">\n422:                  <span className=\"technique-moment__time\">\n429:                <p className=\"technique-moment__summary\">{km.summary}</p>\n"}],"isError":false,"timestamp":1774860593884}}
{"type":"message","id":"f2c6a67d","parentId":"355a97e5","timestamp":"2026-03-30T08:49:57.307Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me read the full JSX for the key moment card rendering."},{"type":"toolCall","id":"toolu_01H4g1GzXzUH26aKSYQ3Fz86","name":"read","arguments":{"limit":40,"offset":405,"path":"frontend/src/pages/TechniquePage.tsx"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":111,"cacheRead":67121,"cacheWrite":1069,"totalTokens":68302,"cost":{"input":0.000005,"output":0.002775,"cacheRead":0.0335605,"cacheWrite":0.0066812500000000006,"total":0.04302175}},"stopReason":"toolUse","timestamp":1774860593884}}
{"type":"message","id":"6311ef66","parentId":"f2c6a67d","timestamp":"2026-03-30T08:49:57.310Z","message":{"role":"toolResult","toolCallId":"toolu_01H4g1GzXzUH26aKSYQ3Fz86","toolName":"read","content":[{"type":"text","text":"\n        </div>\n        <div className=\"technique-columns__sidebar\">\n          {/* Key moments (always from live data — not versioned) */}\n      {technique.key_moments.length > 0 && (\n        <section className=\"technique-moments\">\n          <h2>Key Moments</h2>\n          <ol className=\"technique-moments__list\">\n            {technique.key_moments.map((km) => (\n              <li key={km.id} className=\"technique-moment\">\n                <div className=\"technique-moment__header\">\n                  <span className=\"technique-moment__title\">{km.title}</span>\n                  {km.video_filename && (\n                    <span className=\"technique-moment__source\">\n                      {km.video_filename}\n                    </span>\n                  )}\n                  <span className=\"technique-moment__time\">\n                    {formatTime(km.start_time)} – {formatTime(km.end_time)}\n                  </span>\n                  <span className=\"badge badge--content-type\">\n                    {km.content_type}\n                  </span>\n                </div>\n                <p className=\"technique-moment__summary\">{km.summary}</p>\n              </li>\n            ))}\n          </ol>\n        </section>\n      )}\n\n      {/* Signal chains */}\n      {displayChains &&\n        displayChains.length > 0 && (\n          <section className=\"technique-chains\">\n            <h2>Signal Chains</h2>\n            {displayChains.map((chain, i) => {\n              const chainObj = chain as Record<string, unknown>;\n              const chainName =\n                typeof chainObj[\"name\"] === \"string\"\n\n[68 more lines in file. Use offset=445 to continue.]"}],"isError":false,"timestamp":1774860597309}}
{"type":"message","id":"e5b7a819","parentId":"6311ef66","timestamp":"2026-03-30T08:50:00.954Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check the data model to understand what fields are available on key moments."},{"type":"toolCall","id":"toolu_011ptktTcyzNAyfUZPoiAiTY","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"key_moment\\|KeyMoment\" frontend/src/types.ts 2>/dev/null || grep -rn \"interface.*Moment\\|type.*Moment\" frontend/src/ | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":138,"cacheRead":68190,"cacheWrite":550,"totalTokens":68879,"cost":{"input":0.000005,"output":0.0034500000000000004,"cacheRead":0.034095,"cacheWrite":0.0034375,"total":0.0409875}},"stopReason":"toolUse","timestamp":1774860597309}}
{"type":"message","id":"90a7ccfd","parentId":"e5b7a819","timestamp":"2026-03-30T08:50:00.970Z","message":{"role":"toolResult","toolCallId":"toolu_011ptktTcyzNAyfUZPoiAiTY","toolName":"bash","content":[{"type":"text","text":"frontend/src/api/public-client.ts:29:export interface KeyMomentSummary {\n"}],"isError":false,"timestamp":1774860600969}}
{"type":"message","id":"ba167358","parentId":"90a7ccfd","timestamp":"2026-03-30T08:50:03.657Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Apq853dennexTiQ63Ajh6u","name":"read","arguments":{"limit":30,"offset":29,"path":"frontend/src/api/public-client.ts"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":95,"cacheRead":68740,"cacheWrite":175,"totalTokens":69011,"cost":{"input":0.000005,"output":0.002375,"cacheRead":0.03437,"cacheWrite":0.00109375,"total":0.037843749999999995}},"stopReason":"toolUse","timestamp":1774860600969}}
{"type":"message","id":"8d0f6c66","parentId":"ba167358","timestamp":"2026-03-30T08:50:03.662Z","message":{"role":"toolResult","toolCallId":"toolu_01Apq853dennexTiQ63Ajh6u","toolName":"read","content":[{"type":"text","text":"export interface KeyMomentSummary {\n  id: string;\n  title: string;\n  summary: string;\n  start_time: number;\n  end_time: number;\n  content_type: string;\n  plugins: string[] | null;\n  video_filename: string;\n}\n\nexport interface CreatorInfo {\n  name: string;\n  slug: string;\n  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  id: string;\n  title: string;\n  slug: string;\n  topic_category: string;\n  topic_tags: string[] | null;\n  summary: string | null;\n\n[412 more lines in file. Use offset=59 to continue.]"}],"isError":false,"timestamp":1774860603661}}
{"type":"message","id":"cf26cd41","parentId":"8d0f6c66","timestamp":"2026-03-30T08:50:07.901Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me check what the `badge--content-type` badge looks like in CSS."},{"type":"toolCall","id":"toolu_01YbgErpCqNm8KYcSxiCy9BS","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"badge--content-type\\|badge--type\" frontend/src/App.css | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":114,"cacheRead":68915,"cacheWrite":313,"totalTokens":69343,"cost":{"input":0.000005,"output":0.00285,"cacheRead":0.034457499999999995,"cacheWrite":0.00195625,"total":0.03926875}},"stopReason":"toolUse","timestamp":1774860603662}}
{"type":"message","id":"00da9796","parentId":"cf26cd41","timestamp":"2026-03-30T08:50:07.918Z","message":{"role":"toolResult","toolCallId":"toolu_01YbgErpCqNm8KYcSxiCy9BS","toolName":"bash","content":[{"type":"text","text":"1140:.badge--type {\n1146:.badge--type-technique_page {\n1151:.badge--type-key_moment {\n1156:.badge--content-type {\n"}],"isError":false,"timestamp":1774860607915}}
{"type":"message","id":"63ffd921","parentId":"00da9796","timestamp":"2026-03-30T08:50:10.982Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_014GaY4V7tcVBDEB6yBKfh7V","name":"read","arguments":{"limit":20,"offset":1156,"path":"frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":92,"cacheRead":69228,"cacheWrite":168,"totalTokens":69489,"cost":{"input":0.000005,"output":0.0023,"cacheRead":0.034614,"cacheWrite":0.0010500000000000002,"total":0.037969}},"stopReason":"toolUse","timestamp":1774860607916}}
{"type":"message","id":"368f7940","parentId":"63ffd921","timestamp":"2026-03-30T08:50:10.989Z","message":{"role":"toolResult","toolCallId":"toolu_014GaY4V7tcVBDEB6yBKfh7V","toolName":"read","content":[{"type":"text","text":".badge--content-type {\n  background: var(--color-badge-content-type-bg);\n  color: var(--color-badge-content-type-text);\n  font-size: 0.6875rem;\n}\n\n.badge--quality {\n  font-size: 0.6875rem;\n  text-transform: capitalize;\n}\n\n.badge--quality-structured {\n  background: var(--color-badge-quality-structured-bg);\n  color: var(--color-badge-quality-structured-text);\n}\n\n.badge--quality-unstructured {\n  background: var(--color-badge-quality-unstructured-bg);\n  color: var(--color-badge-quality-unstructured-text);\n}\n\n[1615 more lines in file. Use offset=1176 to continue.]"}],"isError":false,"timestamp":1774860610987}}
{"type":"message","id":"11ab81d1","parentId":"368f7940","timestamp":"2026-03-30T08:50:14.703Z","message":{"role":"assistant","content":[{"type":"text","text":"Let me also check the base `.badge` class."},{"type":"toolCall","id":"toolu_012CLL2Xuv76YRoh7dJupBcj","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"^\\.badge \" frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":95,"cacheRead":69396,"cacheWrite":301,"totalTokens":69793,"cost":{"input":0.000005,"output":0.002375,"cacheRead":0.034698,"cacheWrite":0.0018812500000000001,"total":0.03895925}},"stopReason":"toolUse","timestamp":1774860610988}}
{"type":"message","id":"dc5a3962","parentId":"11ab81d1","timestamp":"2026-03-30T08:50:14.718Z","message":{"role":"toolResult","toolCallId":"toolu_012CLL2Xuv76YRoh7dJupBcj","toolName":"bash","content":[{"type":"text","text":"347:.badge {\n"}],"isError":false,"timestamp":1774860614714}}
{"type":"message","id":"9df1929a","parentId":"dc5a3962","timestamp":"2026-03-30T08:50:17.649Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_015UNAYaUrDmMqwVSPrUrJJe","name":"read","arguments":{"limit":15,"offset":347,"path":"frontend/src/App.css"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":91,"cacheRead":69697,"cacheWrite":112,"totalTokens":69901,"cost":{"input":0.000005,"output":0.002275,"cacheRead":0.0348485,"cacheWrite":0.0007,"total":0.037828499999999994}},"stopReason":"toolUse","timestamp":1774860614715}}
{"type":"message","id":"b73b045b","parentId":"9df1929a","timestamp":"2026-03-30T08:50:17.654Z","message":{"role":"toolResult","toolCallId":"toolu_015UNAYaUrDmMqwVSPrUrJJe","toolName":"read","content":[{"type":"text","text":".badge {\n  display: inline-block;\n  padding: 0.125rem 0.5rem;\n  border-radius: 9999px;\n  font-size: 0.75rem;\n  font-weight: 600;\n  text-transform: capitalize;\n}\n\n.badge--pending {\n  background: var(--color-badge-pending-bg);\n  color: var(--color-badge-pending-text);\n}\n\n.badge--approved {\n\n[2429 more lines in file. Use offset=362 to continue.]"}],"isError":false,"timestamp":1774860617652}}
{"type":"message","id":"54e392c1","parentId":"b73b045b","timestamp":"2026-03-30T08:50:22.191Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — I have the full picture. Let me quickly check the sidebar width constraint from S02 to confirm the 22rem container."},{"type":"toolCall","id":"toolu_01VdWYjuWzH2tgeYessyhCiV","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"technique-columns\\|22rem\" frontend/src/App.css | head -10"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":120,"cacheRead":69809,"cacheWrite":232,"totalTokens":70162,"cost":{"input":0.000005,"output":0.003,"cacheRead":0.0349045,"cacheWrite":0.0014500000000000001,"total":0.0393595}},"stopReason":"toolUse","timestamp":1774860617653}}
{"type":"message","id":"da08a63e","parentId":"54e392c1","timestamp":"2026-03-30T08:50:22.201Z","message":{"role":"toolResult","toolCallId":"toolu_01VdWYjuWzH2tgeYessyhCiV","toolName":"bash","content":[{"type":"text","text":"1183:.technique-columns {\n1185:  grid-template-columns: 1fr 22rem;\n1190:.technique-columns__main {\n1194:.technique-columns__sidebar {\n1200:  .technique-columns {\n1203:  .technique-columns__sidebar {\n"}],"isError":false,"timestamp":1774860622200}}
{"type":"message","id":"53012981","parentId":"da08a63e","timestamp":"2026-03-30T08:50:55.454Z","message":{"role":"assistant","content":[{"type":"text","text":"That's all I need. The current card layout and the target are clear.\n\n**Current state:** The `.technique-moment__header` is a single flex row containing title, source filename, timestamp, and content type badge all inline with `flex-wrap: wrap`. At 22rem sidebar width, this wraps awkwardly — title competes for space with metadata on the same conceptual row.\n\n**Target (from roadmap):** Title prominently on its own line, with source file, timestamp, and type badge on a clean secondary row.\n\nThis is a pure CSS + minor JSX restructure. No API changes, no new data, no new dependencies."},{"type":"toolCall","id":"toolu_01DHuPSKyFzmM1qGWoarQMTM","name":"gsd_summary_save","arguments":{"artifact_type":"RESEARCH","content":"# S03: Key Moment Card Redesign — Research\n\n**Date:** 2026-03-30\n\n## Summary\n\nThe key moment cards in the technique page sidebar need a layout adjustment: move the title to its own prominent line, then show source filename, timestamp, and content type badge on a clean secondary metadata row. This is a straightforward CSS + minor JSX restructure within a single component file and one CSS file. No API changes, no new data fields, no new dependencies.\n\nThe cards currently render inside a 22rem sidebar (established by S02). The `.technique-moment__header` is a flex row with `flex-wrap: wrap` containing title, source, timestamp, and badge all inline. At 22rem width this wraps unpredictably. The fix is to split the header into two explicit rows: a title row and a metadata row.\n\n## Recommendation\n\nRestructure the card JSX to separate the title from the metadata. The title becomes a standalone element outside the metadata row. The metadata row (source filename, timestamp, content type badge) becomes its own flex container. This gives the title full width and visual prominence, while metadata items stay compact on a single secondary line.\n\nNo need for new CSS custom properties — the existing `--color-text-secondary`, `--color-text-muted`, and badge variables cover everything. The summary paragraph below the header remains unchanged.\n\n## Implementation Landscape\n\n### Key Files\n\n- `frontend/src/pages/TechniquePage.tsx` (lines 413–430) — Key moment card JSX. Currently renders a single `.technique-moment__header` div with title, source, timestamp, and badge as siblings. Needs restructuring: title pulled out of header, header renamed/repurposed to metadata row.\n- `frontend/src/App.css` (lines 1337–1380) — Key moment card styles. `.technique-moment__header` is `display: flex; align-items: center; gap: 0.5rem; flex-wrap: wrap`. Needs: title gets its own block-level style, header becomes a metadata-only flex row with smaller gap.\n- `frontend/src/api/public-client.ts` (line 29) — `KeyMomentSummary` interface. No changes needed — all required fields (`title`, `video_filename`, `start_time`, `end_time`, `content_type`) already exist.\n\n### Current Card Structure (JSX)\n```\n<li className=\"technique-moment\">\n  <div className=\"technique-moment__header\">     ← single flex row\n    <span className=\"technique-moment__title\">   ← title inline with metadata\n    <span className=\"technique-moment__source\">  ← source filename\n    <span className=\"technique-moment__time\">    ← timestamp range\n    <span className=\"badge badge--content-type\"> ← type badge\n  </div>\n  <p className=\"technique-moment__summary\">      ← summary text\n</li>\n```\n\n### Target Card Structure (JSX)\n```\n<li className=\"technique-moment\">\n  <h3 className=\"technique-moment__title\">       ← title on its own line, prominent\n  <div className=\"technique-moment__meta\">        ← metadata row\n    <span className=\"technique-moment__source\">   ← source filename\n    <span className=\"technique-moment__time\">     ← timestamp range\n    <span className=\"badge badge--content-type\">  ← type badge\n  </div>\n  <p className=\"technique-moment__summary\">       ← summary text (unchanged)\n</li>\n```\n\n### Build Order\n\n1. Restructure JSX in TechniquePage.tsx — pull title out of header div, rename header to `__meta`, change title from `<span>` to block-level element\n2. Update CSS in App.css — adjust `.technique-moment__title` to block display with bottom margin, add `.technique-moment__meta` as the flex row (inheriting current `__header` styles with adjustments), remove or redirect `__header` styles\n3. Verify at desktop (22rem sidebar) and mobile (single column) widths\n\nSingle task — the JSX and CSS changes are tightly coupled and should be done together.\n\n### Verification Approach\n\n- `npx tsc --noEmit` — TypeScript compiles cleanly\n- `npm run build` — production build succeeds\n- Visual check at desktop width: title is on its own line, metadata items (source, timestamp, badge) are on a secondary row\n- Visual check at mobile width (≤768px): card still renders cleanly in single-column layout\n- No hardcoded colors in new/modified CSS rules (all use existing custom properties)\n\n## Constraints\n\n- Sidebar width is fixed at 22rem (D019). Card must look good within this constraint.\n- Existing badge classes (`.badge`, `.badge--content-type`) must not be modified — they're shared across the app.\n- No new CSS custom properties needed — existing color tokens cover the design.\n- The `<ol>` list wrapper and `<li>` card container structure should be preserved for semantic correctness.\n","milestone_id":"M005","slice_id":"S03"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1423,"cacheRead":70041,"cacheWrite":200,"totalTokens":71665,"cost":{"input":0.000005,"output":0.035575,"cacheRead":0.035020499999999996,"cacheWrite":0.00125,"total":0.0718505}},"stopReason":"toolUse","timestamp":1774860622200}}
{"type":"message","id":"f08aafc7","parentId":"53012981","timestamp":"2026-03-30T08:50:55.458Z","message":{"role":"toolResult","toolCallId":"toolu_01DHuPSKyFzmM1qGWoarQMTM","toolName":"gsd_summary_save","content":[{"type":"text","text":"Saved RESEARCH artifact to milestones/M005/slices/S03/S03-RESEARCH.md"}],"details":{"operation":"save_summary","path":"milestones/M005/slices/S03/S03-RESEARCH.md","artifact_type":"RESEARCH"},"isError":false,"timestamp":1774860655457}}
{"type":"message","id":"7c8a4f41","parentId":"f08aafc7","timestamp":"2026-03-30T08:50:57.705Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S03 researched."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":11,"cacheRead":70241,"cacheWrite":1461,"totalTokens":71714,"cost":{"input":0.000005,"output":0.000275,"cacheRead":0.0351205,"cacheWrite":0.00913125,"total":0.04453175}},"stopReason":"stop","timestamp":1774860655458}}
