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task-decomposition

Task Decomposition breaks down epics into 4-5 parallel work streams, creating concrete tasks with Given/When/Then acceptance criteria, effort estimates (S/M/L/XL), and dependency graphs. Use this skill when you need to translate a high-level epic into executable, parallelizable work items that maintain traceability to product requirements and coordinate across multiple development streams.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/task-decomposition && cp -r /tmp/task-decomposition/library/methodologies/ccpm/skills/task-decomposition ~/.claude/skills/task-decomposition
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Task Decomposition

Break epics into parallelizable tasks with acceptance criteria, effort estimates, and dependency graphs.

## Agent
Task Analyst - `task-analyst`

## Workflow
1. Analyze epic and identify 4-5 parallel work streams
2. Decompose each stream into concrete tasks (parallel)
3. Set acceptance criteria in Given/When/Then format
4. Estimate effort (S/M/L/XL) and set parallelization flags
5. Build cross-stream dependency graph
6. Validate coverage against PRD user stories
7. Fill gaps with additional tasks if needed
8. Write task files to .claude/epics/<featureName>/<N>.md

## Inputs
- `projectName` - Project name
- `featureName` - Feature identifier
- `epic` - Epic from Phase 2
- `prd` - PRD from Phase 1
- `parallelAgents` - Max parallel agents (default: 5)

## Outputs
- Task list with acceptance criteria and effort estimates
- Work stream definitions
- Dependency graph with execution waves
- Coverage report with PRD traceability

## Process Files
- `ccpm-task-decomposition.js` - Standalone decomposition
- `ccpm-orchestrator.js` - Phase 3 of full lifecycle