task-decomposition

Task Decomposition Strategy

This skill provides comprehensive guidelines for breaking down project goals into actionable tasks. Use this when planning teamwork projects to ensure optimal task granularity, proper role assignment, and appropriate complexity assessment.

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Hybrid Decomposition Strategy

Use a combination of plan-based (Strategy A) and semantic (Strategy B) decomposition:

Strategy A: Plan Document Based

Use when plans option is provided with detailed implementation documents.

1. Extract Steps: Parse plan documents for Markdown headers (## Step N, ### Phase N)
2. Map to Tasks: Each header section becomes a task candidate
3. Sub-decompose: If a step mentions multiple files (>3), split into sub-tasks
4. Verify Atomicity: Each task should be completable in one worker session

Example transformation:

Plan: "03.impl-workspace-setup.md"
|- Step 1: Root workspace -> Task: "Initialize pnpm monorepo workspace"
|- Step 2.1: Database package -> Task: "Create database package structure"
|- Step 2.2: items schema -> Task: "Implement items.schema.ts"
|- Step 2.3: item-features schema -> Task: "Implement item-features.schema.ts with pgvector"
+- Step 3: Docker -> Task: "Configure Docker Compose for dev environment"

Strategy B: Semantic Decomposition

Use when no plan documents provided, or as sub-decomposition within Strategy A.

1. File-based: New file creation = separate task
2. Complexity-based: Complex file with multiple classes -> split by class
3. Dependency-based: Interface and implementation = separate tasks
4. Test-based: Each independently testable unit = candidate task

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Granularity Rules

• 1 task = 1-3 files changed (recommended)
• 1 task = 10-30 minutes work (recommended)
• 1 task = independently testable/verifiable

Anti-patterns (Avoid)

• "Setup entire workspace" (too broad)
• "Implement backend" (too vague)
• "Create all schemas" (bundles multiple files)

Good patterns (Recommended)