compound · git:20260909.ae44051 · 2026-09-09 · sha256 fc6958ed49e8ae5b
compound git:20260909.ae44051A
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--- name: compound description: "Document a recently solved problem to compound your team's knowledge. Creates structured learnings in knowledge-base/project/learnings/." --- # Compound Capture problem solutions while context is fresh, creating structured documentation in `knowledge-base/project/learnings/` with YAML frontmatter for searchability. ## Usage Activate this skill after solving a non-trivial problem. If context about the problem is not already in the conversation, use `ask_user` to request a brief description. ## Phase 0: Setup Read project conventions from `GEMINI.md` if it exists. Apply conventions during documentation. **Branch safety check:** Run `run_shell_command` with `git branch --show-current`. If the result is `main` or `master`, abort with: "Error: compound cannot run on main/master. Checkout a feature branch first." ## Phase 0.5: Session Error Inventory Before writing any learning, enumerate ALL errors encountered in this session. Output a numbered list. This step cannot be skipped. Include: - Wrong file paths, directories, or branch confusion - Failed shell commands or unexpected exit codes - API errors or unexpected responses - Wrong assumptions that required backtracking If genuinely no errors occurred, output: "Session error inventory: none detected." ## Execution Strategy Analyze the session context to extract the learning. Unlike the Claude Code version which spawns 5 parallel subagents, this version runs sequentially within the conversation: ### 1. Context Analysis - Extract conversation history - Identify problem type, component, symptoms - Determine YAML frontmatter fields: title, date, category, tags ### 2. Solution Extraction - Analyze investigation steps - Identify root cause - Extract working solution with code examples ### 3. Related Documentation Search - Search `knowledge-base/project/learnings/` for related documentation using `grep_search` - Identify cross-references and links - Find related GitHub issues via `run_shell_command` with `gh issue list` ### 4. Prevention Strategy - Develop prevention strategies - Create best practices guidance - Propose enforcement: hook (strongest), skill instruction (moderate), prose rule (weakest) ### 5. Write Learning File Determine the optimal `knowledge-base/project/learnings/` category subdirectory. Create the file with this structure: ```markdown --- title: "<descriptive title>" date: YYYY-MM-DD category: <category> tags: [tag1, tag2] --- # Learning: <title> ## Problem <What went wrong or what was unclear> ## Solution <What fixed it, with code examples> ## Key Insight <The non-obvious takeaway> ## Session Errors <Errors from Phase 0.5 inventory, each with a **Prevention:** line> ``` Use `write_file` to create the learning document. ### 6. Constitution Promotion After writing the learning, check if the insight should be promoted to a project convention: - If the learning addresses a recurring pattern → propose adding to project conventions - If the learning exposes a gap in rules → propose a rule addition - Use `ask_user` to confirm before modifying convention files