Babysitter work-decomposition
Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/methodologies/gastown/skills/work-decomposition" ~/.claude/skills/a5c-ai-babysitter-work-decomposition && rm -rf "$T"
manifest:
library/methodologies/gastown/skills/work-decomposition/SKILL.mdsource content
Work Decomposition
Overview
Break high-level goals into MEOWs (Molecular Expressions of Work) - the fundamental atomic units in Gas Town. Each MEOW becomes a bead (git-backed work unit) or wisp (ephemeral task).
When to Use
- Before creating a convoy
- When a goal is too large for a single agent
- When parallel execution would benefit progress
- When work needs tracked attribution
Process
- Analyze the goal and project context
- Identify natural seams for decomposition
- Create MEOWs with clear boundaries and dependencies
- Classify as beads (persistent) or wisps (ephemeral)
- Map dependencies between MEOWs
- 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)