- Read frontmatter (title, category, tags, module, symptom) of each learning - Compare against plan to determine relevance - SKIP learnings that are clearly not applicable - SPAWN sub-agents only for learnings that MIGHT apply - Example: 15 files found → filter to 3 relevant → spawn 3 sub-agents Smarter than spawning 50 sub-agents when only 5 are relevant. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>