compound-docs
SkillDocs & knowledgeDocument solved problems for team reuse. Provides process knowledge for /ia-compound. Use when documenting a resolved issue, writing up lessons learned, capturing a post-mortem, adding to the knowledge base, or building searchable institutional knowledge after debugging.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the compound-docs skill
What this skill tells your AI
The instructions your AI receives, as published by iliaal/ai-skills in skills/compound-docs/SKILL.md and read by ahel’s review.
Process
Single-file architecture -- one markdown file per problem in its symptom category directory (e.g., docs/solutions/performance-issues/n-plus-one-briefs.md), with YAML frontmatter for metadata.
Follow the 7-step documentation capture process. For full details, see documentation-process.md.
- Detect confirmation -- Auto-invoke after "that worked", "it's fixed", etc. Skip trivial fixes.
- Gather context -- Extract module, symptom, investigation attempts, root cause, solution, prevention. BLOCK if critical context missing.
- Check existing docs -- Search
docs/solutions/for similar issues. If found, offer: new doc with cross-reference, update existing, or other. - Generate filename -- Format:
[sanitized-symptom]-[module]-[YYYYMMDD].md - Validate YAML -- Save the draft to a temporary Markdown file, then run validate-frontmatter.sh against it. The validator requires Python 3 and PyYAML; report a missing dependency rather than claiming validation. If invalid, fix the frontmatter and re-run until it passes.
- Create documentation -- Write file to
docs/solutions/[category]/[filename].mdusing resolution-template.md. - Cross-reference -- Link related issues. Detect critical patterns (3+ similar issues).
Capture gate (step 1): capture only if, without this doc, a future engineer reading the final code, tests, comments, CLAUDE.md/AGENTS.md, and existing docs or skills would still repeat the mistake or redo the investigation. Skip when any of those already carries the lesson.
Decision Menu
After successful documentation, present and WAIT for user response:
Solution documented
File created:
- docs/solutions/[category]/[filename].md
What's next?
1. Continue workflow (recommended)
2. Add to Required Reading - Promote to critical patterns
3. Link related issues - Connect to similar problems
4. Add to existing skill - Add to a learning skill
5. Create new skill - Extract into new learning skill
6. View documentation - See what was captured
7. Other
For detailed response handling, see documentation-process.md.
Success Criteria
- YAML frontmatter validated (all required fields, correct formats)
- File created in
docs/solutions/[category]/[filename].md - Enum values match schema exactly
- Code examples included in solution section
- Cross-references added if related issues found
- User presented with decision menu and action confirmed
References
- documentation-process.md - Full 7-step process with validation gates
- yaml-schema.md - YAML frontmatter schema and enum values
- quality-guidelines.md - Quality standards, execution rules, error handling
- example-scenario.md - Complete walkthrough of documenting an N+1 query fix
- resolution-template.md - Template for documentation files
- critical-pattern-template.md - Template for critical pattern entries
- validate-frontmatter.sh - Validate YAML frontmatter against schema
- validate-frontmatter.py - Safe YAML parser and field validation; install its dependency with
python3 -m pip install PyYAMLwhen authorized
Integration
- Stale-learning review (
/ia-compound-refreshin Claude Code) -- reviewsdocs/solutions/for entries that have aged out
Signals
- GitHub stars
- 41
- Forks
- 8
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Catalog kind
- skill
- Gateway key
compound-docs- Source
- github.com/iliaal/ai-skills