What patterns are supported for task decomposition?

The skill includes specialized patterns for new feature development (Infrastructure to Validation), codebase refactoring (Create to Cleanup), and complex bug investigation.

What is the recommended task size for efficient planning?

The skill targets 'Small' to 'Medium' tasks (20-300 lines of code) to ensure they are substantial enough to be productive but small enough to be completed within hours.

Can this skill help identify potential merge conflicts?

Yes, it specifically scans for shared styles, routes, and state management files to identify overlaps and sequences those tasks to minimize conflicts.

How does the Breakdown skill handle task dependencies?

It analyzes the logic and file overlaps of tasks to create sequential, fan-out, or fan-in dependency models, ensuring tasks are performed in the correct order to prevent blockers.

What is Wave Planning in this context?

Wave Planning groups tasks into logical phases based on their blockers, categorizing them into 'Ready Now', 'Dependent', and 'Final Integration' stages to manage work-in-progress.

Task Decomposition Planner

Name: Task Decomposition Planner
Author: GGPrompts

byGGPrompts

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협업 도구

Decomposes complex epics and features into actionable, parallelizable backlog tasks with clear dependency mapping.

소개

The Task Decomposition Planner provides a systematic framework for translating high-level product requirements and architectural epics into granular, executable development tasks. By utilizing standardized patterns for new features, refactoring, and bug fixes, it ensures that technical work is right-sized for efficiency and correctly sequenced. The skill intelligently identifies file overlaps and dependencies to create organized 'waves' of work, helping teams maximize parallel productivity while avoiding merge conflicts and development bottlenecks.

주요 기능

Wave-based planning to group tasks by readiness and execution priority.
File conflict detection to automatically sequence tasks touching the same code modules.
Standardized decomposition patterns for features, refactoring, and complex bug fixes.
Smart task sizing (XS to XL) to ensure work items are manageable and actionable.
122 GitHub stars
Automated dependency mapping including sequential, fan-out, and fan-in patterns.

사용 사례

Translating a new feature specification into a structured sprint backlog.
Decomposing complex investigation-heavy bugs into reproduction, fix, and verification phases.
Planning a large-scale architectural refactor into safe, incremental implementation steps.

소개

주요 기능

Wave-based planning to group tasks by readiness and execution priority.
File conflict detection to automatically sequence tasks touching the same code modules.
Standardized decomposition patterns for features, refactoring, and complex bug fixes.
Smart task sizing (XS to XL) to ensure work items are manageable and actionable.
122 GitHub stars
Automated dependency mapping including sequential, fan-out, and fan-in patterns.

사용 사례

Translating a new feature specification into a structured sprint backlog.
Decomposing complex investigation-heavy bugs into reproduction, fix, and verification phases.
Planning a large-scale architectural refactor into safe, incremental implementation steps.