knowledge

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

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Install skill "knowledge" with this command: npx skills add boshu2/agentops/boshu2-agentops-knowledge

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 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 3.5: Search Global Patterns

Global patterns (cross-repo knowledge)

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

Global patterns contain knowledge promoted from any repository via /learn --global . These are high-confidence, cross-project learnings.

Step 3.6: Search Global Learnings

Global learnings (cross-repo abstracted knowledge)

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

Global learnings are abstracted, transferable insights promoted from repo-specific learnings via /learn --promote or classified as cross-cutting by /retro .

Step 3.7: Search Global Patterns (new location)

Global patterns (new location, cross-repo)

grep -r "<query>" ~/.agents/patterns/ 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:

  • Summary of findings

  • Key learnings (with IDs)

  • Relevant patterns

  • Links to source files

  • Confidence level (how much we know)

Knowledge Locations

Type Location Format

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

Global Learnings ~/.agents/learnings/

Cross-repo abstracted learnings

Global Patterns ~/.agents/patterns/

Cross-repo reusable patterns

Legacy Patterns ~/.claude/patterns/

Read-only fallback (deprecated for writes)

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"

Examples

Finding Past Learnings

User says: /knowledge "error handling patterns"

What happens:

  • Agent tries ao search "error handling patterns" , finds 3 matches

  • Agent searches .agents/learnings/ with grep, finds 5 additional matches

  • Agent searches .agents/patterns/ for related patterns, finds 2 matches

  • Agent reads all matched files using Read tool

  • Agent synthesizes findings into coherent response

  • Agent reports: "We have 5 learnings about error handling: L1 (always wrap errors), L3 (use typed errors), L12 (log before returning), L15 (context propagation), L22 (retry with backoff)"

  • Agent provides links to source files and confidence level: high (multiple confirmations)

Result: Complete knowledge synthesis with 5 specific learnings and 2 related patterns, all with source citations.

Querying Without ao CLI

User says: /knowledge "database migrations"

What happens:

  • Agent tries ao search , command not found

  • Agent falls back to grep search across .agents/ directories

  • Agent finds 2 matches in learnings, 1 in research, 0 in patterns

  • Agent reads matched files

  • Agent synthesizes: "Limited knowledge found. L8 recommends using transaction-wrapped migrations. Research doc from 2026-01-20 analyzed migration tools."

  • Agent reports medium confidence (only 2 sources)

Result: Knowledge found despite missing ao CLI, with appropriate confidence level based on source count.

Troubleshooting

Problem Cause Solution

No results found Query too specific or knowledge not yet captured Broaden search terms. Try synonyms. Check if topic was covered in recent work but retro not yet run. Suggest running /retro to extract recent learnings.

Too many results (overwhelming) Very broad query term Narrow query with more specific terms. Filter by date: search only recent learnings. Use semantic search (ao CLI) for better ranking if available.

Results lack context Grep matches found but files don't address query Read full files, not just matching lines. Synthesize from surrounding context. May need to trace back to original research with /trace .

Confidence level unclear Mixed or contradictory sources Report conflicting information explicitly. Note which sources agree/disagree. Suggest running /research to investigate further if critical.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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