name: knowledge description: 'Query knowledge artifacts across all locations. Triggers: "find learnings", "search patterns", "query knowledge", "what do we know about", "where is the plan".'

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"