work-decomposition
Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.
npx skills add a5c-ai/babysitter --skill work-decomposition --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- When a goal is too large for a single agent - When parallel execution would benefit progress - When work needs tracked attribution ## Process 1. **Analyze** the goal and project context 2. **Identify** natural seams for decomposition 3. **Create MEOWs** with clear boundaries and dependencies 4. **Classify** as beads (persistent) or wisps (ephemeral) 5. **Map dependencies** between MEOWs 6. **Estimate** effort and assign priorities ## Decomposition Principles - Each MEOW should be completable by a single agent - Dependencies should form a DAG (no cycles) - Prefer more smaller beads over fewer larger ones - Wisps for throwaway work (scaffolding, exploration) - Every MEOW gets attribution tracking ## Tool Use Invoke via babysitter process: `methodologies/gastown/gastown-orchestrator` (analyze-work step)
- Process
- Decomposition Principles
- Tool Use
What does the work-decomposition skill do?
Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill work-decomposition --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.