assimilate-popular-wor…
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research…
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
$ npx -y skills add a5c-ai/babysitter --skill knowledge-curation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/knowledge-curationContext preview
The summary Claude sees to decide when to auto-load this skill.
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
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. allowed-tools: Read, Write, Edit, Bash, Grep, Glob, WebFetch, WebSearch, Agent, AskUserQuestion graph: domains: [domain:software-engineering] skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop] workflows: [workflow:feature-development] topics: [topic:developer-experience] roles: [role:tech-lead, role:backend-engineer]
| 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 |
1. Load knowledge base files for work type 2. Surface MUST FOLLOW rules first 3. Present GOTCHAS and PATTERNS 4. Load relevant DECISIONS
1. Extract patterns from completed work 2. Identify gotchas from review failures 3. Record architectural decisions with rationale 4. Persist to .beads/knowledge/
Invoke via babysitter process: `methodologies/metaswarm/metaswarm-knowledge-cycle`
Enforce obedience on agentic workforces. Manage extremely complex workflows through deterministic, hallucination-free self-orchestration.
Repo: a5c-ai/babysitter
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