Knowledge Consolidation Persist valuable knowledge from AI conversations into structured documents. Workflow 1. DETECT AI IDE → Check for .trae/, .claude/, .cursor/ 2. IDENTIFY CANDIDATES → Scan for knowledge worth preserving 3. CLASSIFY TYPE → Select appropriate knowledge type 4. GENERATE PATH → Run get-knowledge-path.sh 5. WRITE DOCUMENT → Use template format Step 1: Detect AI IDE Indicator AI Type Storage Path .trae/ dir trae .trae/knowledges/ .claude/ dir claude-code .claude/knowledges/ .cursor/ dir cursor .cursor/knowledges/ Step 2: Knowledge Types Type When to Use debug Bug fixes, crash analysis, error resolution architecture System design, module structure pattern Reusable code patterns, best practices config Build settings, environment setup api API design, integration details workflow Development processes lesson Post-mortems, retrospectives Step 3: Generate Path { skill_root } /scripts/get-knowledge-path.sh -r < project_root

-a < ai_type

-t < type

-n < filename

Output: {project_root}/{ai_path}/knowledges/{YYYYMMDD}{seq}.md Step 4: Write Document Use template :}_{filename

{Title}

** Type: **

** Date: **

** Context: **

Summary

Background

Details

Key Takeaways {Bullet points of actionable insights} Resources Resource Purpose scripts/get-knowledge-path.sh Generate file path references/knowledge-types.md Type selection guide assets/knowledge.md.template Document template