Engineering
prp-manager avatar

prp-manager

Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.

Introduction

PRP Manager is an agent skill designed to bridge the gap between human requirements and AI-assisted implementation. By utilizing the Context Engineering methodology, this tool transforms standard feature requests into comprehensive Product Requirements Prompts (PRPs). These PRPs act as implementation blueprints that provide AI agents with necessary project intelligence, including existing codebase patterns, architecture conventions, and executable validation loops. The skill is specifically built for developers using tools like Claude Code, Cursor, Windsurf, or other AI agents, aiming to minimize iterative cycles and achieve one-pass implementation success.

  • Automatically analyzes project stacks, identifying languages (Python, Node.js, Rust, Go) and build tools (npm, uv, cargo, pnpm) to generate tailored validation templates.

  • Facilitates the initialization of project-specific PRP environments by indexing key documentation like AGENTS.md, CLAUDE.md, and project linting/testing configurations.

  • Enables the structured generation of implementation blueprints (PRPs) by indexing codebases and creating task-oriented execution plans.

  • Includes support for automated validation, linting, and unit testing via project-native CLI commands.

  • Provides a robust framework for documenting 'gotchas,' architectural constraints, and library-specific quirks to prevent common AI hallucination and integration failures.

  • To use, trigger the skill with requests like 'Initialize PRPs', 'Create a PRP for feature X', or 'Execute PRP 001'.

  • Best results are achieved by providing clear project context files such as README.md, CONTRIBUTING.md, and agent-specific configuration files (CLAUDE.md).

  • The skill maintains a standard directory structure under PRPs/, ensuring consistency across different team environments and projects.

  • Designed for technical teams, software engineers, and AI-first development workflows where precision and contextual awareness are paramount.

  • Operates as a local-first skill, emphasizing file system security and direct interaction with the codebase structure.

Repository Stats

Stars
13
Forks
2
Open Issues
0
Language
Not provided
Default Branch
main
Sync Status
Idle
Last Synced
May 3, 2026, 08:49 PM
View on GitHub