·task-decomposer
>_

task-decomposer

Produces structured phased task boards from feature requests: dependency-mapped work items with parallelization flags, risk flags, edge case tables, and test strategy matrices. Triggers on: "decompose this feature", "task breakdown with dependencies", "phased implementation plan", "dependency map for", "break this into tasks with phases", "work breakdown structure". The differentiator is the structured output format (phased tables, parallelization flags, dependency chains) — use this skill when you need a formal task board, not ad-hoc decomposition the model handles natively. NOT for effort estimates, PERT calculations, or confidence intervals — use estimate-calibrator instead.

9Installs·0Trend·@mathews-tom

Installation

$npx skills add https://github.com/mathews-tom/praxis-skills --skill task-decomposer

How to Install task-decomposer

Quickly install task-decomposer AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mathews-tom/praxis-skills --skill task-decomposer
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mathews-tom/praxis-skills.

SKILL.md

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Transforms ambiguous feature requests into concrete, implementable task sequences: identifies acceptance criteria, decomposes into phased work items with effort sizing, maps dependencies and parallelization, enumerates edge cases, plans testing, and flags risks — producing a ready-to-execute task board.

When to use this skill vs native decomposition: The base model decomposes features well in an ad-hoc format. Use this skill specifically when you need the structured output: phased task tables with dependency mapping, parallelization flags, risk flags, and integrated test strategy. If you just need a quick list of steps, ask directly without

| references/decomposition-patterns.md | Feature → task decomposition strategies, granularity guidelines | Always | | references/edge-case-checklist.md | Common edge case categories by domain (web, API, data, CLI) | Edge case identification needed |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mathews-tom/praxis-skills --skill task-decomposer
Category
>_Productivity
Verified
First Seen
2026-03-10
Updated
2026-03-10

Browse more skills from mathews-tom/praxis-skills

Quick answers

What is task-decomposer?

Produces structured phased task boards from feature requests: dependency-mapped work items with parallelization flags, risk flags, edge case tables, and test strategy matrices. Triggers on: "decompose this feature", "task breakdown with dependencies", "phased implementation plan", "dependency map for", "break this into tasks with phases", "work breakdown structure". The differentiator is the structured output format (phased tables, parallelization flags, dependency chains) — use this skill when you need a formal task board, not ad-hoc decomposition the model handles natively. NOT for effort estimates, PERT calculations, or confidence intervals — use estimate-calibrator instead. Source: mathews-tom/praxis-skills.

How do I install task-decomposer?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mathews-tom/praxis-skills --skill task-decomposer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mathews-tom/praxis-skills