loop-planner

Transform track specifications into plan.md files with tasks, criteria, and dependencies.

2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill loop-planner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: loop-planner
Source: https://github.com/AhmedElhadarey/Gilfoyle/tree/main/skills/loop-planner
Command: npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill loop-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transforms track specifications into actionable execution plans, enabling teams to convert high-level requirements into a concrete, testable plan.

Core Features & Use Cases

  • Reads track spec.md and conductor context to produce a structured plan.md with tasks, acceptance criteria, and dependencies.
  • Performs DAG-based planning to identify parallelizable work and dependencies for deterministic execution.
  • Updates planning metadata and emits a ready-to-execute plan for handoff to the evaluator.

Quick Start

Load the current track's spec.md and context to generate a phased plan.md with explicit tasks, acceptance criteria, and dependencies.

Frequently Asked Questions about loop-planner

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

FAQPage Schema
How do I turn a vague spec into an actionable execution plan?▼

To turn a vague spec into an actionable execution plan, load your track's spec.md and context to generate a structured plan.md with explicit tasks, acceptance criteria, and dependencies for deterministic execution.

What is DAG-based planning for feature development?▼

DAG-based planning identifies parallelizable work and task dependencies from your specifications to create a deterministic execution plan, ensuring structured and traceable progress for new feature development.

How do I generate a plan.md with tasks and acceptance criteria?▼

Generate a plan.md with tasks and acceptance criteria by loading your track specification and context, which automatically composes a structured plan and records checkpoints in metadata for traceability.

Can I track execution dependencies for parallelizable work?▼

Yes, you can track execution dependencies for parallelizable work by applying DAG-based planning to your track specifications, which maps out task dependencies to enable deterministic execution and traceability.

Does converting track specifications into execution plans require external dependencies?▼

Converting track specifications into execution plans requires no external dependencies, operating directly on your loaded spec.md and context to produce the structured plan and metadata records.

When should I not use DAG-based planning for track specifications?▼

You should avoid DAG-based planning for track specifications when starting new tracks or features that lack defined context, as the system requires loaded specifications to compose tasks, acceptance criteria, and dependencies.