Agent Skills: knowledge-curation

Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.

UncategorizedID: a5c-ai/babysitter/knowledge-curation

Install this agent skill to your local

pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/library/methodologies/metaswarm/skills/knowledge-curation

Skill Files

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library/methodologies/metaswarm/skills/knowledge-curation/SKILL.md

Skill Metadata

Name
knowledge-curation
Description
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
  • After completing work, BEFORE PR creation (reflect mode)
  • When recovering from context loss (recovery priming)

Knowledge Categories

| Category | File | Content | |----------|------|---------| | Critical Rules | facts.jsonl | MUST FOLLOW constraints | | Gotchas | gotchas.jsonl | Common pitfalls | | Patterns | patterns.jsonl | Codebase best practices | | Decisions | decisions.jsonl | Architectural choices with rationale | | Anti-Patterns | anti-patterns.jsonl | What NOT to do | | Codebase Facts | codebase-facts.jsonl | Structural information | | API Behaviors | api-behaviors.jsonl | Undocumented quirks |

Process

Prime Mode

  1. Load knowledge base files for work type
  2. Surface MUST FOLLOW rules first
  3. Present GOTCHAS and PATTERNS
  4. Load relevant DECISIONS

Reflect Mode

  1. Extract patterns from completed work
  2. Identify gotchas from review failures
  3. Record architectural decisions with rationale
  4. Persist to .beads/knowledge/

Tool Use

Invoke via babysitter process: methodologies/metaswarm/metaswarm-knowledge-cycle