knowledge-curation

Included with Lifetime

$97 forever

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

General

What this skill does


# Knowledge Curation

## Overview

Two-phase knowledge management: prime context before work starts, and extract learnings after work completes. Knowledge persists in JSONL files for cross-session continuity.

## When to Use

- Before starting any work (prime mode)
- 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`

Files: 2

Size: 2.2 KB

Complexity: 11/100

Category: General

Source: https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/metaswarm/skills/knowledge-curation

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