insight-quartermaster

Decomposes plan.md inputs into atomic tasks with worktrees and parallelization strategies in frame.md outputs.

14|1|Updated Mar 10, 2026

Search Tags:#planning #task management #worktrees #agile #decomposition #parallelization

Ready to run

npx skills add https://github.com/sidtheone/insightsloop --skill insight-quartermaster

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: insight-quartermaster
Source: https://github.com/sidtheone/insightsloop/tree/main/skills/insight-quartermaster
Command: npx skills add https://github.com/sidtheone/insightsloop --skill insight-quartermaster

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of breaking down a high-level plan into precise, atomic tasks, assigning them to specific worktrees, and mapping out dependencies for parallel execution. It eliminates ambiguity and ensures deterministic work decomposition.

Core Features & Use Cases

Work Decomposition: Transforms a plan.md into a detailed frame.md with atomic tasks, worktree assignments, and parallelization plans.
Test File Mapping: Assigns test file locations and scopes for each task.
Acceptance Criteria Sharpening: Refines acceptance criteria for clarity and verifiability.
Greenfield Scaffolding: Generates a scaffolding checklist for new projects.
Use Case: After a product manager outlines a new feature in plan.md, the Quartermaster can automatically generate a buildable roster for the development team, ensuring each developer knows exactly what to build, test, and hand off.

Quick Start

Use the insight-quartermaster skill to decompose the plan located at /path/to/plan.md.

Frequently Asked Questions about insight-quartermaster

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

FAQPage Schema

How do I decompose a high-level plan into atomic tasks for parallel development?▼

Work decomposition transforms a plan.md into a frame.md, assigning atomic tasks to specific worktrees and defining parallelization strategies to eliminate ambiguity and ensure deterministic work execution.

What does worktree assignment mean in agile task management?▼

Worktree assignment allocates atomic tasks to specific development worktrees, defining parallelization strategies and dependencies so development teams can execute work simultaneously without ambiguity.

Can I map test file locations automatically when breaking down a development plan?▼

Test file mapping assigns specific test file locations and scopes to each atomic task during plan decomposition, ensuring development teams know exactly where to place and verify tests.

How do I sharpen acceptance criteria for decomposed development tasks?▼

Acceptance criteria sharpening refines task requirements for clarity and verifiability during plan decomposition, ensuring each atomic task in the frame.md output has precise and testable completion conditions.

Does this task decomposition approach support greenfield project scaffolding?▼

The decomposition process supports greenfield projects by generating a scaffolding checklist alongside the frame.md output, ensuring new projects have a buildable roster and structured setup from the start.

What is the best way to parallelize agile development workflows using worktrees?▼

The best way to parallelize workflows is to generate a frame.md from plan.md, which defines deterministic parallelization strategies and assigns atomic tasks to worktrees for efficient simultaneous development.