Work unit decomposition
Skill a5c-ai/babysitter/library/methodologies/metaswarm/skills/work-unit-decomposition
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill work-unit-decompositionAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.
SKILL.md
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- When decomposing a large feature into implementable chunks
- When preparing for orchestrated execution
Work Unit Structure
Each work unit specifies:
- ID - Unique identifier
- Title - Human-readable description
- Definition of Done - Enumerated checklist items
- File Scope - Which files the unit may modify
- Dependencies - Other work units this depends on
- Human Checkpoint - Whether human approval is needed before execution
- Parallel Safe - Whether it can execute alongside other units
Human Checkpoint Triggers
Mark human checkpoints for:
- Schema or database changes
- Security-sensitive code paths
- New architectural patterns not seen in codebase
- External API integrations
- Breaking changes to public interfaces
Agents Used
agents/architect/- Creates the decompositionagents/cto/- Validates TDD readiness per unit
Tool Use
Invoke as part of: methodologies/metaswarm/metaswarm-orchestrator (Phase 4)