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}_{type}_{filename}.md

Step 4: Write Document

Use template:

# {Title}

> **Type:** {type}
> **Date:** {YYYY-MM-DD}
> **Context:** {Brief context}

## Summary

{2-3 sentence summary}

## Background

{Situation/problem/context}

## Details

{Technical content, code snippets, analysis}

## 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