task-decomposition

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Break down complex tasks into atomic, actionable goals with clear dependencies and success criteria. Use when planning multi-step projects, coordinating agents, or decomposing complex requests.

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Sourced-o-hub/rust-self-learning-memory

Added on2026-03-28

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npx skill4agent add d-o-hub/rust-self-learning-memory task-decomposition

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Task Decomposition

Break down complex tasks into atomic, actionable goals with clear dependencies.

When to Use

Complex user requests with multiple components
Multi-phase projects requiring coordination
Tasks that could benefit from parallel execution
Planning agent coordination strategies

Decomposition Framework

1. Requirements Analysis

Primary objective
Implicit requirements (quality, performance)
Constraints (time, resources)
Success criteria

2. Goal Hierarchy

Main Goal
├─ Sub-goal 1
│  ├─ Task 1.1 (atomic)
│  └─ Task 1.2 (atomic)
├─ Sub-goal 2
└─ Sub-goal 3

3. Dependency Types

Type	Symbol	Example
Sequential	A → B → C	B needs A's output
Parallel	A─┐ B─┐ C─┘	Independent, concurrent
Converging	A─┐ B─┼─> D	D needs A, B, C
Resource	A, B	Sequential or pooled

4. Success Criteria

For each task:

Input: What data/state is needed
Output: What artifacts will be produced
Quality: Performance, testing, docs requirements

Decomposition Patterns

Pattern	Use Case
Layer-Based	Architectural changes (data, logic, API, test, docs)
Feature-Based	New features (MVP, error handling, optimization, integration)
Phase-Based	Large projects (research, foundation, core, integration, polish)
Problem-Solution	Debugging (reproduce, diagnose, design, fix, verify, prevent)

Quality Checklist

✓ Atomic and actionable ✓ Dependencies clearly identified ✓ Success criteria measurable ✓ No task too large (>4 hours) ✓ Parallelization opportunities identified

✗ Tasks too large or vague ✗ Missing dependencies ✗ Unclear success criteria ✗ Missing quality/testing tasks

Integration with GOAP

Task decomposition is Phase 1 of GOAP:

Receive request
Apply decomposition
Create execution plan
Execute with monitoring
Report results