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claude-coderesearch

Claude-skill-registry knowledge

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

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/knowledge-boshu2-agentops" ~/.claude/skills/majiayu000-claude-skill-registry-knowledge && rm -rf "$T"
manifest: skills/data/knowledge-boshu2-agentops/SKILL.md
tags
#knowledge-retrieval#file-search#semantic-search#document-query
source content

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

TypeLocationFormat
Learnings
.agents/learnings/
Markdown
Patterns
.agents/patterns/
Markdown
Research
.agents/research/
Markdown
Retros
.agents/retros/
Markdown
Plans
.agents/plans/
Markdown
Global Plans
~/.claude/plans/
Markdown

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"