work-decomposition
The work-decomposition skill breaks down large goals into MEOWs (Molecular Expressions of Work), which are atomic work units in Gas Town's bead-based model that can be tracked and assigned to individual agents. Use this skill before creating a convoy when a goal is too large for a single agent, when parallel execution would accelerate progress, or when work needs persistent attribution tracking through beads or ephemeral wisps.
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/work-decomposition && cp -r /tmp/work-decomposition/library/methodologies/gastown/skills/work-decomposition ~/.claude/skills/work-decompositionSKILL.md
- 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)
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
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 external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
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This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.