plan-to-system

Generate governance and documentation artifacts from a plan.md file.

Updated May 18, 2026
One-click install
npx skills add https://github.com/fzturk/clearlegaltips-workspace --skill plan-to-system
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-to-system
Source: https://github.com/fzturk/clearlegaltips-workspace/tree/main/.claude
Command: npx skills add https://github.com/fzturk/clearlegaltips-workspace --skill plan-to-system

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, jq, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of a comprehensive documentation ecosystem for any system described in a plan.md file, significantly reducing manual documentation time.

Core Features & Use Cases

  • Documentation Generation: Automatically creates SYSTEM_MANIFEST, agents, skills, hooks, instructions, memory files, and CI/CD configurations.
  • Plan Analysis: Deep analysis and research based on the plan.md file.
  • Output Structure: Organizes generated documents into a coherent structure for easy access and use.
  • Use Case: A user provides a plan.md for a system. The skill generates all necessary governance and documentation files, ready for immediate use in Claude Code or GitHub Copilot.

Quick Start

Run the 'plan-to-system' skill with the 'plan.md' file as input and generate the documentation ecosystem: plan-to-system --plan plan.md --output generated-system/

Frequently Asked Questions about plan-to-system

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

FAQPage Schema
How do I automate system documentation generation from a plan.md file?

Automating system documentation generation involves passing a plan.md file to a processing script that analyzes the system plan and outputs governance artifacts, agents, skills, hooks, instructions, and CI/CD configurations into a structured directory.

What governance artifacts are generated when automating documentation from a plan.md?

Generating documentation from a plan.md produces governance artifacts such as a SYSTEM_MANIFEST, agents, skills, hooks, instructions, memory files, and CI/CD configurations, organizing them into a coherent directory structure.

Do I need Python and jq to generate CI/CD configurations from a plan.md?

Yes, Python and jq are required dependencies for running the scripts that process the plan.md file and generate the system documentation artifacts and CI/CD configurations.

Can I use generated system documentation directly with Claude Code or GitHub Copilot?

Yes, the generated agents, skills, hooks, and instructions are structured for immediate integration and use within AI-powered development environments like Claude Code or GitHub Copilot.

What is the best way to structure output files when generating system documentation from a plan?

The best way to structure output files is to specify an output directory during generation, which automatically organizes the SYSTEM_MANIFEST, agents, skills, and hooks into a coherent directory structure for easy access.

Why does generating system documentation require a deep analysis of the plan.md file?

Deep plan analysis is required to accurately extract system architecture details from plan.md and translate them into the specific governance artifacts, agents, and CI/CD configurations needed for the target AI environment.