Captures and triages developer insights, pitfalls, and patterns at the end of work sessions to automate project documentation.
The Intent Layer Compound skill streamlines the post-development workflow by analyzing AI conversations for undocumented insights and technical 'gotchas.' It automatically surfaces potential learnings—such as API quirks, architectural discoveries, and missing validation checks—and routes them to either global or local documentation files. By integrating directly into the Intent Layer framework, it ensures that valuable knowledge gained during a coding session is preserved for future sessions, preventing repeated mistakes and maintaining long-term project context without manual writing overhead.
주요 기능
01Structured triage prompts to manually capture missed insights and specific technical checks.
02Automatic deduplication to ensure documentation remains concise and free of redundant entries.
03Intelligent scope routing between global (CLAUDE.md) and directory-level (AGENTS.md) documentation.
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05Automated AI conversation scanning to identify corrections, discoveries, and patterns.
06Direct integration with learn.sh scripts for seamless writing to the Intent Layer.
사용 사례
01Conducting an end-of-day knowledge sync to ensure the AI's future context is updated with recent progress.
02Documenting architectural discoveries and build-system workarounds during a debugging session.
03Capturing undocumented API behaviors or edge cases after finishing a feature implementation.
