work-unit-decomposition

SkillFiles & storage

Lets your agent break an implementation plan into small work units with checklists, file scopes, and dependencies.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the work-unit-decomposition skill

About this capability

Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/methodologies/metaswarm/skills/work-unit-decomposition/SKILL.md and read by ahel’s review.

  • 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 decomposition
  • agents/cto/ - Validates TDD readiness per unit

Tool Use

Invoke as part of: methodologies/metaswarm/metaswarm-orchestrator (Phase 4)

Signals

GitHub stars
2k
Forks
106
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
work-unit-decomposition
Source
github.com/a5c-ai/babysitter