Add skills, learnings & memory updates (2026-01-26)
- New skills: clawddocs, claude-code-usage, summarize, homeassistant, humanizer, self-improving-agent - Add .learnings/ for self-improvement tracking - Document proaktive cron config (LRN-20260126-001) - Update USER.md: Löchgau as former residence - Update TOOLS.md: Peekaboo workaround - Memory files for 2026-01-25 and 2026-01-26
This commit is contained in:
James
374
skills/self-improving-agent/references/examples.md
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374
skills/self-improving-agent/references/examples.md
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@@ -0,0 +1,374 @@
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# Entry Examples
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Concrete examples of well-formatted entries with all fields.
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## Learning: Correction
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```markdown
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## [LRN-20250115-001] correction
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**Logged**: 2025-01-15T10:30:00Z
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**Priority**: high
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**Status**: pending
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**Area**: tests
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### Summary
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Incorrectly assumed pytest fixtures are scoped to function by default
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### Details
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When writing test fixtures, I assumed all fixtures were function-scoped.
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User corrected that while function scope is the default, the codebase
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convention uses module-scoped fixtures for database connections to
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improve test performance.
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### Suggested Action
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When creating fixtures that involve expensive setup (DB, network),
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check existing fixtures for scope patterns before defaulting to function scope.
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|
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### Metadata
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- Source: user_feedback
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- Related Files: tests/conftest.py
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- Tags: pytest, testing, fixtures
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---
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```
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## Learning: Knowledge Gap (Resolved)
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```markdown
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## [LRN-20250115-002] knowledge_gap
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**Logged**: 2025-01-15T14:22:00Z
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**Priority**: medium
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**Status**: resolved
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**Area**: config
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|
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### Summary
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Project uses pnpm not npm for package management
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### Details
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Attempted to run `npm install` but project uses pnpm workspaces.
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Lock file is `pnpm-lock.yaml`, not `package-lock.json`.
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### Suggested Action
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Check for `pnpm-lock.yaml` or `pnpm-workspace.yaml` before assuming npm.
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Use `pnpm install` for this project.
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### Metadata
|
||||
- Source: error
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- Related Files: pnpm-lock.yaml, pnpm-workspace.yaml
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- Tags: package-manager, pnpm, setup
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|
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### Resolution
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- **Resolved**: 2025-01-15T14:30:00Z
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- **Commit/PR**: N/A - knowledge update
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- **Notes**: Added to CLAUDE.md for future reference
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---
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```
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## Learning: Promoted to CLAUDE.md
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```markdown
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## [LRN-20250115-003] best_practice
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**Logged**: 2025-01-15T16:00:00Z
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**Priority**: high
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**Status**: promoted
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**Promoted**: CLAUDE.md
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**Area**: backend
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### Summary
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API responses must include correlation ID from request headers
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### Details
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All API responses should echo back the X-Correlation-ID header from
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the request. This is required for distributed tracing. Responses
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without this header break the observability pipeline.
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|
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### Suggested Action
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Always include correlation ID passthrough in API handlers.
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|
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### Metadata
|
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- Source: user_feedback
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- Related Files: src/middleware/correlation.ts
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- Tags: api, observability, tracing
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|
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---
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```
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## Learning: Promoted to AGENTS.md
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```markdown
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## [LRN-20250116-001] best_practice
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**Logged**: 2025-01-16T09:00:00Z
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**Priority**: high
|
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**Status**: promoted
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**Promoted**: AGENTS.md
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**Area**: backend
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|
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### Summary
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Must regenerate API client after OpenAPI spec changes
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### Details
|
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When modifying API endpoints, the TypeScript client must be regenerated.
|
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Forgetting this causes type mismatches that only appear at runtime.
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The generate script also runs validation.
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### Suggested Action
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Add to agent workflow: after any API changes, run `pnpm run generate:api`.
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|
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### Metadata
|
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- Source: error
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- Related Files: openapi.yaml, src/client/api.ts
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- Tags: api, codegen, typescript
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|
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---
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```
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## Error Entry
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```markdown
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## [ERR-20250115-A3F] docker_build
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**Logged**: 2025-01-15T09:15:00Z
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**Priority**: high
|
||||
**Status**: pending
|
||||
**Area**: infra
|
||||
|
||||
### Summary
|
||||
Docker build fails on M1 Mac due to platform mismatch
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|
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### Error
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```
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error: failed to solve: python:3.11-slim: no match for platform linux/arm64
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```
|
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|
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### Context
|
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- Command: `docker build -t myapp .`
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- Dockerfile uses `FROM python:3.11-slim`
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- Running on Apple Silicon (M1/M2)
|
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|
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### Suggested Fix
|
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Add platform flag: `docker build --platform linux/amd64 -t myapp .`
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Or update Dockerfile: `FROM --platform=linux/amd64 python:3.11-slim`
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|
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### Metadata
|
||||
- Reproducible: yes
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- Related Files: Dockerfile
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|
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---
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```
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|
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## Error Entry: Recurring Issue
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|
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```markdown
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## [ERR-20250120-B2C] api_timeout
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**Logged**: 2025-01-20T11:30:00Z
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**Priority**: critical
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**Status**: pending
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||||
**Area**: backend
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||||
|
||||
### Summary
|
||||
Third-party payment API timeout during checkout
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|
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### Error
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```
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TimeoutError: Request to payments.example.com timed out after 30000ms
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```
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|
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### Context
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- Command: POST /api/checkout
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- Timeout set to 30s
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- Occurs during peak hours (lunch, evening)
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|
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### Suggested Fix
|
||||
Implement retry with exponential backoff. Consider circuit breaker pattern.
|
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|
||||
### Metadata
|
||||
- Reproducible: yes (during peak hours)
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- Related Files: src/services/payment.ts
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- See Also: ERR-20250115-X1Y, ERR-20250118-Z3W
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|
||||
---
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```
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|
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## Feature Request
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|
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```markdown
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## [FEAT-20250115-001] export_to_csv
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**Logged**: 2025-01-15T16:45:00Z
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**Priority**: medium
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**Status**: pending
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||||
**Area**: backend
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||||
|
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### Requested Capability
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Export analysis results to CSV format
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|
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### User Context
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User runs weekly reports and needs to share results with non-technical
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stakeholders in Excel. Currently copies output manually.
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|
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### Complexity Estimate
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simple
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|
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### Suggested Implementation
|
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Add `--output csv` flag to the analyze command. Use standard csv module.
|
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Could extend existing `--output json` pattern.
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|
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### Metadata
|
||||
- Frequency: recurring
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- Related Features: analyze command, json output
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|
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---
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```
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## Feature Request: Resolved
|
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```markdown
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## [FEAT-20250110-002] dark_mode
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**Logged**: 2025-01-10T14:00:00Z
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**Priority**: low
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||||
**Status**: resolved
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**Area**: frontend
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|
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### Requested Capability
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Dark mode support for the dashboard
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|
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### User Context
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User works late hours and finds the bright interface straining.
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Several other users have mentioned this informally.
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|
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### Complexity Estimate
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medium
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|
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### Suggested Implementation
|
||||
Use CSS variables for colors. Add toggle in user settings.
|
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Consider system preference detection.
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|
||||
### Metadata
|
||||
- Frequency: recurring
|
||||
- Related Features: user settings, theme system
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||||
|
||||
### Resolution
|
||||
- **Resolved**: 2025-01-18T16:00:00Z
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- **Commit/PR**: #142
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- **Notes**: Implemented with system preference detection and manual toggle
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---
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```
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## Learning: Promoted to Skill
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||||
|
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```markdown
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## [LRN-20250118-001] best_practice
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|
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**Logged**: 2025-01-18T11:00:00Z
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**Priority**: high
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**Status**: promoted_to_skill
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**Skill-Path**: skills/docker-m1-fixes
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**Area**: infra
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|
||||
### Summary
|
||||
Docker build fails on Apple Silicon due to platform mismatch
|
||||
|
||||
### Details
|
||||
When building Docker images on M1/M2 Macs, the build fails because
|
||||
the base image doesn't have an ARM64 variant. This is a common issue
|
||||
that affects many developers.
|
||||
|
||||
### Suggested Action
|
||||
Add `--platform linux/amd64` to docker build command, or use
|
||||
`FROM --platform=linux/amd64` in Dockerfile.
|
||||
|
||||
### Metadata
|
||||
- Source: error
|
||||
- Related Files: Dockerfile
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||||
- Tags: docker, arm64, m1, apple-silicon
|
||||
- See Also: ERR-20250115-A3F, ERR-20250117-B2D
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|
||||
---
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||||
```
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## Extracted Skill Example
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When the above learning is extracted as a skill, it becomes:
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**File**: `skills/docker-m1-fixes/SKILL.md`
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```markdown
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---
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||||
name: docker-m1-fixes
|
||||
description: "Fixes Docker build failures on Apple Silicon (M1/M2). Use when docker build fails with platform mismatch errors."
|
||||
---
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||||
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# Docker M1 Fixes
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||||
Solutions for Docker build issues on Apple Silicon Macs.
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||||
## Quick Reference
|
||||
|
||||
| Error | Fix |
|
||||
|-------|-----|
|
||||
| `no match for platform linux/arm64` | Add `--platform linux/amd64` to build |
|
||||
| Image runs but crashes | Use emulation or find ARM-compatible base |
|
||||
|
||||
## The Problem
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||||
|
||||
Many Docker base images don't have ARM64 variants. When building on
|
||||
Apple Silicon (M1/M2/M3), Docker attempts to pull ARM64 images by
|
||||
default, causing platform mismatch errors.
|
||||
|
||||
## Solutions
|
||||
|
||||
### Option 1: Build Flag (Recommended)
|
||||
|
||||
Add platform flag to your build command:
|
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|
||||
\`\`\`bash
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docker build --platform linux/amd64 -t myapp .
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\`\`\`
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|
||||
### Option 2: Dockerfile Modification
|
||||
|
||||
Specify platform in the FROM instruction:
|
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|
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\`\`\`dockerfile
|
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FROM --platform=linux/amd64 python:3.11-slim
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\`\`\`
|
||||
|
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### Option 3: Docker Compose
|
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|
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Add platform to your service:
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||||
|
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\`\`\`yaml
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services:
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app:
|
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platform: linux/amd64
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build: .
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\`\`\`
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|
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## Trade-offs
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||||
|
||||
| Approach | Pros | Cons |
|
||||
|----------|------|------|
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||||
| Build flag | No file changes | Must remember flag |
|
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| Dockerfile | Explicit, versioned | Affects all builds |
|
||||
| Compose | Convenient for dev | Requires compose |
|
||||
|
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## Performance Note
|
||||
|
||||
Running AMD64 images on ARM64 uses Rosetta 2 emulation. This works
|
||||
for development but may be slower. For production, find ARM-native
|
||||
alternatives when possible.
|
||||
|
||||
## Source
|
||||
|
||||
- Learning ID: LRN-20250118-001
|
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- Category: best_practice
|
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- Extraction Date: 2025-01-18
|
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```
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223
skills/self-improving-agent/references/hooks-setup.md
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223
skills/self-improving-agent/references/hooks-setup.md
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@@ -0,0 +1,223 @@
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# Hook Setup Guide
|
||||
|
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Configure automatic self-improvement triggers for AI coding agents.
|
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|
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## Overview
|
||||
|
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Hooks enable proactive learning capture by injecting reminders at key moments:
|
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- **UserPromptSubmit**: Reminder after each prompt to evaluate learnings
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- **PostToolUse (Bash)**: Error detection when commands fail
|
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|
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## Claude Code Setup
|
||||
|
||||
### Option 1: Project-Level Configuration
|
||||
|
||||
Create `.claude/settings.json` in your project root:
|
||||
|
||||
```json
|
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{
|
||||
"hooks": {
|
||||
"UserPromptSubmit": [
|
||||
{
|
||||
"matcher": "",
|
||||
"hooks": [
|
||||
{
|
||||
"type": "command",
|
||||
"command": "./skills/self-improvement/scripts/activator.sh"
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"PostToolUse": [
|
||||
{
|
||||
"matcher": "Bash",
|
||||
"hooks": [
|
||||
{
|
||||
"type": "command",
|
||||
"command": "./skills/self-improvement/scripts/error-detector.sh"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Option 2: User-Level Configuration
|
||||
|
||||
Add to `~/.claude/settings.json` for global activation:
|
||||
|
||||
```json
|
||||
{
|
||||
"hooks": {
|
||||
"UserPromptSubmit": [
|
||||
{
|
||||
"matcher": "",
|
||||
"hooks": [
|
||||
{
|
||||
"type": "command",
|
||||
"command": "~/.claude/skills/self-improvement/scripts/activator.sh"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Minimal Setup (Activator Only)
|
||||
|
||||
For lower overhead, use only the UserPromptSubmit hook:
|
||||
|
||||
```json
|
||||
{
|
||||
"hooks": {
|
||||
"UserPromptSubmit": [
|
||||
{
|
||||
"matcher": "",
|
||||
"hooks": [
|
||||
{
|
||||
"type": "command",
|
||||
"command": "./skills/self-improvement/scripts/activator.sh"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Codex CLI Setup
|
||||
|
||||
Codex uses the same hook system as Claude Code. Create `.codex/settings.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"hooks": {
|
||||
"UserPromptSubmit": [
|
||||
{
|
||||
"matcher": "",
|
||||
"hooks": [
|
||||
{
|
||||
"type": "command",
|
||||
"command": "./skills/self-improvement/scripts/activator.sh"
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## GitHub Copilot Setup
|
||||
|
||||
Copilot doesn't support hooks directly. Instead, add guidance to `.github/copilot-instructions.md`:
|
||||
|
||||
```markdown
|
||||
## Self-Improvement
|
||||
|
||||
After completing tasks that involved:
|
||||
- Debugging non-obvious issues
|
||||
- Discovering workarounds
|
||||
- Learning project-specific patterns
|
||||
- Resolving unexpected errors
|
||||
|
||||
Consider logging the learning to `.learnings/` using the format from the self-improvement skill.
|
||||
|
||||
For high-value learnings that would benefit other sessions, consider skill extraction.
|
||||
```
|
||||
|
||||
## Verification
|
||||
|
||||
### Test Activator Hook
|
||||
|
||||
1. Enable the hook configuration
|
||||
2. Start a new Claude Code session
|
||||
3. Send any prompt
|
||||
4. Verify you see `<self-improvement-reminder>` in the context
|
||||
|
||||
### Test Error Detector Hook
|
||||
|
||||
1. Enable PostToolUse hook for Bash
|
||||
2. Run a command that fails: `ls /nonexistent/path`
|
||||
3. Verify you see `<error-detected>` reminder
|
||||
|
||||
### Dry Run Extract Script
|
||||
|
||||
```bash
|
||||
./skills/self-improvement/scripts/extract-skill.sh test-skill --dry-run
|
||||
```
|
||||
|
||||
Expected output shows the skill scaffold that would be created.
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Hook Not Triggering
|
||||
|
||||
1. **Check script permissions**: `chmod +x scripts/*.sh`
|
||||
2. **Verify path**: Use absolute paths or paths relative to project root
|
||||
3. **Check settings location**: Project vs user-level settings
|
||||
4. **Restart session**: Hooks are loaded at session start
|
||||
|
||||
### Permission Denied
|
||||
|
||||
```bash
|
||||
chmod +x ./skills/self-improvement/scripts/activator.sh
|
||||
chmod +x ./skills/self-improvement/scripts/error-detector.sh
|
||||
chmod +x ./skills/self-improvement/scripts/extract-skill.sh
|
||||
```
|
||||
|
||||
### Script Not Found
|
||||
|
||||
If using relative paths, ensure you're in the correct directory or use absolute paths:
|
||||
|
||||
```json
|
||||
{
|
||||
"command": "/absolute/path/to/skills/self-improvement/scripts/activator.sh"
|
||||
}
|
||||
```
|
||||
|
||||
### Too Much Overhead
|
||||
|
||||
If the activator feels intrusive:
|
||||
|
||||
1. **Use minimal setup**: Only UserPromptSubmit, skip PostToolUse
|
||||
2. **Add matcher filter**: Only trigger for certain prompts:
|
||||
|
||||
```json
|
||||
{
|
||||
"matcher": "fix|debug|error|issue",
|
||||
"hooks": [...]
|
||||
}
|
||||
```
|
||||
|
||||
## Hook Output Budget
|
||||
|
||||
The activator is designed to be lightweight:
|
||||
- **Target**: ~50-100 tokens per activation
|
||||
- **Content**: Structured reminder, not verbose instructions
|
||||
- **Format**: XML tags for easy parsing
|
||||
|
||||
If you need to reduce overhead further, you can edit `activator.sh` to output less text.
|
||||
|
||||
## Security Considerations
|
||||
|
||||
- Hook scripts run with the same permissions as Claude Code
|
||||
- Scripts only output text; they don't modify files or run commands
|
||||
- Error detector reads `CLAUDE_TOOL_OUTPUT` environment variable
|
||||
- All scripts are opt-in (you must configure them explicitly)
|
||||
|
||||
## Disabling Hooks
|
||||
|
||||
To temporarily disable without removing configuration:
|
||||
|
||||
1. **Comment out in settings**:
|
||||
```json
|
||||
{
|
||||
"hooks": {
|
||||
// "UserPromptSubmit": [...]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
2. **Or delete the settings file**: Hooks won't run without configuration
|
||||
Reference in New Issue
Block a user