home/categories/data-engineering/mathews-tom-armory-skills-task-decomposer-skill-md
data-engineeringdata-ai

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.

Mathews-Tom
maintainer
Mathews-Tom
Mis à jour 4/9/2026
Étoiles
155
Forks
25
quick start

Installation and usage

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.

Installation
$ install --globalskills.sh
Utilisation

Après l'installation, vous pouvez utiliser ce skill en exécutant la commande suivante dans votre terminal :

skills use task-decomposer