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star-plan-decomposer

Decompose research strategies into executable sub-plans with dependency graphs.

39|Updated Jul 15, 2026
Search Tags:#workflow#planning#research#task management#decomposition#reproducibility
One-click install
npx skills add https://github.com/wanghao9610/STAR --skill star-plan-decomposer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: star-plan-decomposer
Source: https://github.com/wanghao9610/STAR/tree/main/.cursor/skills/star-plan-decomposer
Command: npx skills add https://github.com/wanghao9610/STAR --skill star-plan-decomposer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill bridges the gap between abstract research strategy and concrete implementation by breaking down complex, multi-phase research plans into manageable, verifiable sub-plans.

Core Features & Use Cases

  • Strategic Decomposition: Splits research plans using phase, component, or evidence-based axes to ensure logical execution flow.
  • Dependency Management: Automatically generates a Directed Acyclic Graph (DAG) of tasks, ensuring that prerequisites are met before execution.
  • Verification-Ready: Each sub-plan includes clear done-criteria and deliverables, ensuring research progress is measurable and reproducible.
  • Use Case: When a researcher has a broad topic like "Open-Vocabulary Detection," this Skill decomposes it into specific, ordered sub-plans for data preparation, baseline implementation, and ablation studies.

Quick Start

Use the star-plan-decomposer skill to break down the open-vocab-det-seg plan into executable sub-tasks.

Frequently Asked Questions about star-plan-decomposer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decompose a high-level research plan into executable sub-tasks?▼

Decompose a high-level research plan by splitting it along phase, component, or evidence axes to generate granular sub-plans with defined dependencies and verification criteria.

What is DAG-based dependency management for AI research projects?▼

DAG-based dependency management automatically generates a Directed Acyclic Graph of research tasks, ensuring prerequisites are met through topological task ordering before execution.

How do I ensure reproducibility and track milestones in complex research workflows?▼

Ensure reproducibility by decomposing research into sub-plans that include clear done-criteria and deliverables, enabling strict adherence to project-specific workflow conventions and measurable progress tracking.

Can I use task decomposition for multi-phase ablation studies and baseline implementations?▼

Yes, task decomposition splits broad research topics into specific, ordered sub-plans for data preparation, baseline implementation, and ablation studies to ensure a logical execution flow.

What is the best way to manage topological task ordering in systematic research breakdown?▼

The best way to manage topological task ordering is automatically generating a Directed Acyclic Graph that maps task prerequisites, ensuring systematic research breakdown and execution.

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