AI agent skill · by @a5c-ai

Knowledge Curation

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

Archived 2026-10-23 · Source updated 2026-09-16 · License: MIT. Check the original repository for the latest version.

SKILL.md instructions

- 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`