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Work decomposition

Skill a5c-ai/babysitter/library/methodologies/gastown/skills/work-decomposition

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill work-decomposition

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What its author says it does

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Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.

SKILL.md

1.3 KB, as published. Nobody here has run it

  • 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)

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.