prp-project-context

Generate PROJECT.md files from code, PRDs, and business context.

2|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/gobikom/prp-framework --skill prp-project-context
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prp-project-context
Source: https://github.com/gobikom/prp-framework/tree/main/adapters/codex/prp-project-context
Command: npx skills add https://github.com/gobikom/prp-framework --skill prp-project-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill generates a PROJECT.md file that serves both AI and human readers, creating a compact project context document that answers what the project is, why it exists, and how to navigate it.

Core Features & Use Cases

  • Project Context Generation: Automates the creation of PROJECT.md files from code analysis, PRDs, and business context.
  • Human-readable Documentation: Ensures the generated documentation is concise and readable for both AI and humans.
  • Efficient AI Tokens: Optimizes AI token usage by generating documentation that is efficient for AI processing.

Quick Start

Run the 'prp-project-context' skill with the required arguments to generate PROJECT.md:

/prp-core:plan "Generate project context for 'my-project'"

Frequently Asked Questions about prp-project-context

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

FAQPage Schema
How do I generate project documentation for AI token efficiency?

Generate project documentation for AI token efficiency by analyzing code, PRDs, and business context to output a compact Markdown overview. This reduces token consumption during AI processing while maintaining human readability.

What is the best way to create a project context document from code and PRDs?

Creating a project context document from code and PRDs involves analyzing source files and business requirements to produce a structured Markdown overview. This clarifies what the project is, why it exists, and how to navigate it.

How does Markdown generation improve AI token usage for project context?

Markdown generation improves AI token usage by structuring project context into a compact, optimized format. This minimizes unnecessary tokens while providing AI models with sufficient business and code analysis context.

Can I automate business context and code analysis for software documentation?

Automating business context and code analysis for software documentation extracts project requirements and structural logic directly from files. It generates a concise overview without manual writing, serving both human and AI readers.

Does generating project documentation require specific dependencies or environments?

Generating project documentation requires no external dependencies, utilizing text processing and file system operations to analyze inputs. It runs within standard software development environments to produce the output Markdown file.

Why use automated Markdown generation instead of writing project context manually?

Automated Markdown generation prevents outdated documentation by directly analyzing current code and PRDs. It ensures consistent project context structure, optimizing outputs for both AI token efficiency and human navigation.