GSD Planner

Generate executable phase plans with dependency graphs and goal-backward verification.

Updated Feb 12, 2026

Search Tags:#planning #dependency management #verification #task breakdown #ai agent #gsd

Ready to run

npx skills add https://github.com/nickthelegend/molfi --skill gsd-planner-nickthelegend

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: GSD Planner
Source: https://github.com/nickthelegend/molfi/tree/main/.agent/skills/planner
Command: npx skills add https://github.com/nickthelegend/molfi --skill gsd-planner-nickthelegend

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of detailed, executable plans for AI-driven development tasks, breaking down complex objectives into manageable, verifiable steps.

Core Features & Use Cases

Phase Planning: Decomposes objectives into small, parallelizable tasks.
Dependency Analysis: Builds execution graphs and assigns tasks to waves.
Goal-Backward Verification: Ensures plans meet critical requirements through rigorous verification.
Use Case: When starting a new feature, use this Skill to generate a precise plan that the AI can execute, ensuring all necessary steps are covered and verifiable.

Quick Start

Use the GSD Planner skill to create a plan for implementing a new user login API endpoint.

Frequently Asked Questions about GSD Planner

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

FAQPage Schema

How do I create an executable phase plan with task breakdown for an AI agent?▼

To create an executable phase plan, decompose objectives into small parallelizable tasks, build dependency graphs, assign execution waves, and derive must-haves using goal-backward verification methodology.

What is goal-backward verification in AI task planning?▼

Goal-backward verification ensures task plans meet critical requirements by deriving must-haves starting from the final goal and working backward to validate every preceding step.

How do I manage dependencies when breaking down complex development phases?▼

Dependency management for complex phases involves building dependency graphs and assigning tasks to execution waves, allowing optimized parallel execution across 2-3 task groupings.

Can I use automated planning to close gaps in an existing AI execution workflow?▼

Yes, automated planning handles gap closure mode alongside standard planning, returning structured results to an orchestrator to resolve missing steps in existing workflows.

What is the best way to parallelize tasks for AI agent execution?▼

The best way to parallelize tasks is decomposing phases into 2-3 tasks each, then mapping their relationships into execution waves based on dependency analysis.

When do I need goal-backward methodology for task planning?▼

You need goal-backward methodology when starting new features or complex objectives, ensuring the AI generates precise, verifiable plans that cover all necessary steps.