Knowledge Skill

YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.

Find and retrieve knowledge from past work.

Execution Steps

Given /knowledge <query>:

Step 1: Search with ao CLI (if available)

ao forge search "<query>" --limit 10 2>/dev/null

If results found, read the relevant files.

Step 2: Search .agents/ Directory

# Search learnings
grep -r "<query>" .agents/learnings/ 2>/dev/null | head -10

# Search patterns
grep -r "<query>" .agents/patterns/ 2>/dev/null | head -10

# Search research
grep -r "<query>" .agents/research/ 2>/dev/null | head -10

# Search retros
grep -r "<query>" .agents/retros/ 2>/dev/null | head -10

Step 3: Search Plans

# Local plans
grep -r "<query>" .agents/plans/ 2>/dev/null | head -10

# Global plans
grep -r "<query>" ~/.claude/plans/ 2>/dev/null | head -10

Step 4: Use Semantic Search (if MCP available)

Tool: mcp__smart-connections-work__lookup
Parameters:
  query: "<query>"
  limit: 10

Step 5: Read Relevant Files

For each match found, use the Read tool to get full content.

Step 6: Synthesize Results

Combine findings into a coherent response:

• What do we know about this topic?
• What learnings are relevant?
• What patterns apply?
• What past decisions were made?

Step 7: Report to User

Present the knowledge found:

1. Summary of findings
2. Key learnings (with IDs)
3. Relevant patterns
4. Links to source files
5. Confidence level (how much we know)

Knowledge Locations

Key Rules

• Search multiple locations - knowledge may be scattered
• Use ao CLI first - semantic search is better
• Fall back to grep - if ao not available
• Read full files - don't just report matches
• Synthesize - combine findings into useful answer

Example Queries

/knowledge authentication    # Find auth-related learnings
/knowledge "rate limiting"   # Find rate limit patterns
/knowledge kubernetes        # Find K8s knowledge
/knowledge "what do we know about caching"