plancraft

Orchestrate multi-agent planning for software features with TDD and dual AI review.

2|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/sumrae412/claude-skills --skill plancraft
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plancraft
Source: https://github.com/sumrae412/claude-skills/tree/main/plancraft
Command: npx skills add https://github.com/sumrae412/claude-skills --skill plancraft

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of detailed, multi-model AI-reviewed implementation plans, preventing scope creep and ensuring thorough design and execution.

Core Features & Use Cases

  • Phased Planning: Guides through brainstorming, detailed plan writing, AI review, user confirmation, execution, and documentation cleanup.
  • Multi-Model AI Review: Integrates DeepSeek and OpenAI for comprehensive security, architecture, and code quality checks.
  • Scope Enforcement: Strictly adheres to defined In Scope/Out of Scope parameters, flagging any deviations.
  • Use Case: When launching a new complex feature, use PlanCraft to generate a robust implementation plan that has been vetted by multiple AI models for quality and security before any code is written.

Quick Start

Use the plancraft skill to create an implementation plan for the new user authentication module.

Frequently Asked Questions about plancraft

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

FAQPage Schema
How does multi-agent AI review improve implementation planning for complex software features?

Multi-agent AI review improves implementation planning by using DeepSeek for security and architecture checks and OpenAI for code quality, ensuring plans are thoroughly vetted before execution. This prevents scope creep and enhances overall design robustness.

How do I generate a TDD-based implementation plan for a new authentication module?

To generate a TDD-based implementation plan, you initiate a phased workflow that guides you through brainstorming, plan writing, and multi-model AI review. The process enforces strict scope management before execution handoff and documentation cleanup.

Can I use this workflow automation to enforce strict scope management during feature development?

Yes, you can use this workflow automation to enforce strict scope management. It strictly adheres to defined In Scope and Out of Scope parameters throughout the planning process, actively flagging any deviations to prevent scope creep.

What is the best way to automate security and architecture reviews before writing code?

The best way to automate security and architecture reviews is using a dual AI model process. Integrating DeepSeek for security and architecture analysis alongside OpenAI for code quality ensures comprehensive vetting during the implementation planning phase.

Do I need DeepSeek and OpenAI to run the multi-model AI review process?

Yes, the multi-model AI review process requires both DeepSeek and OpenAI. DeepSeek handles security and architecture checks while OpenAI evaluates code quality, together providing comprehensive AI-reviewed implementation plans.

Why should I use automated implementation planning instead of manual feature design?

Automated implementation planning prevents scope creep and ensures thorough design by orchestrating a multi-agent process. It replaces manual feature design with AI-vetted plans, enforcing strict scope parameters and generating documentation cleanup automatically.