Does this skill support parallel processing?

Yes, it is specifically designed to work with parallel Claude Code subagents, allowing you to expand dozens of tasks in minutes rather than hours.

How does worktree isolation benefit the decomposition process?

Worktree isolation ensures that each task expansion occurs in a dedicated environment, preventing file conflicts and allowing for atomic commits and safer validation.

What is considered a high-complexity task?

A task is flagged as high-complexity if it receives a score of 7 or higher on a 10-point scale, typically based on coupling analysis, research requirements, and technical depth.

Can I run the Task Decomposer manually?

Yes, you can manually activate the skill by asking Claude to 'Start task decomposition' or by injecting the [ACTIVATE:TASK_DECOMPOSER_V1] codeword.

What happens after the tasks are decomposed?

The skill generates a completion signal (.signals/phase5-complete.json) and automatically triggers the Spec Generator (Phase 6) to maintain an autonomous workflow.

Task Decomposer

Name: Task Decomposer
Author: turbobeest

byturbobeest

•

Productivity & Workflow

Breaks down complex software development tasks into actionable subtasks with automated complexity analysis and research-backed expansion.

About

The Task Decomposer is a specialized Claude Code skill that automates Phase 5 of the development lifecycle by analyzing task complexity and programmatically generating detailed subtasks. It uses scientific scoring to identify high-complexity items, provides research-backed expansion for difficult features, and ensures worktree isolation to prevent development conflicts. By automating the transition from high-level requirements to granular execution plans, it enables fully autonomous development pipelines and prepares tasks for immediate specification generation.

Key Features

Research-backed subtask generation for high-complexity items (score ≥7)
2 GitHub stars
Scientific complexity scoring (0-10 scale) for automated task prioritization
Strict worktree isolation to ensure atomic, conflict-free task expansion
Parallel subagent execution support for rapid batch processing of tasks
Automated phase transitions and completion signaling for continuous CI/CD integration

Use Cases

Automatically breaking down a monolithic project requirement into granular implementation tasks
Accelerating planning phases by running parallel AI subagents to define technical subtasks and acceptance criteria
Estimating development effort through algorithmic complexity analysis of a project backlog

About

Key Features

Research-backed subtask generation for high-complexity items (score ≥7)
2 GitHub stars
Scientific complexity scoring (0-10 scale) for automated task prioritization
Strict worktree isolation to ensure atomic, conflict-free task expansion
Parallel subagent execution support for rapid batch processing of tasks
Automated phase transitions and completion signaling for continuous CI/CD integration

Use Cases

Automatically breaking down a monolithic project requirement into granular implementation tasks
Accelerating planning phases by running parallel AI subagents to define technical subtasks and acceptance criteria
Estimating development effort through algorithmic complexity analysis of a project backlog