Knowledge Curation

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

a5c-ai Updated 1.7k repo stars

File contents

  • 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

a5c-ai/babysitter/tree/main/library/methodologies/metaswarm/skills/knowledge-curation commit a06e83c47a

Frequently asked questions

npx skillmds@latest add a5c-ai/knowledge-curation