PRPM is a universal registry for AI coding tools. It allows developers to discover, install, and manage cross-platform prompts, rules, and skills. Integrates with Claude and Cursor for streamlined AI workflows.
git clone https://github.com/pr-pm/prpm.gitThe prpm skill is designed as a universal registry for AI coding tools, streamlining the process of discovering and utilizing various automation resources. By centralizing access to these tools, prpm enhances workflow automation, enabling developers and AI practitioners to quickly find the right coding solutions for their projects. This skill is particularly beneficial for those who regularly engage with AI agents and require a reliable source of coding tools to enhance their productivity. One of the main advantages of using the prpm skill is the potential for significant time savings in the coding process. Although specific time savings are currently unknown, the efficiency gained from having a consolidated registry of AI tools cannot be overstated. This skill allows users to eliminate the tedious task of searching through multiple sources for coding resources, thus enabling them to focus on more critical aspects of their projects. The intermediate complexity of this skill means that users should have a basic understanding of AI automation to effectively leverage its capabilities. Developers, product managers, and AI practitioners will find prpm particularly useful in their daily workflows. For instance, a developer working on a machine learning project can quickly access relevant coding tools to enhance model training, while a product manager can utilize the skill to ensure that their team is equipped with the latest automation resources. The prpm skill is also suitable for teams looking to implement AI-first workflows, as it integrates seamlessly into existing processes, allowing for smoother transitions and more effective collaboration. Implementing the prpm skill is straightforward, requiring approximately 30 minutes to set up. While the skill has not yet been verified and currently has a medium GTM relevance, its potential to enhance workflow automation makes it a valuable addition to any developer's toolkit. As AI continues to evolve, having access to a comprehensive registry of coding tools will be essential for staying ahead in the competitive landscape of AI development.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/pr-pm/prpmCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a PRPM (Prompt Registry Protocol Message) for a new AI coding tool called [TOOL_NAME] that helps [SPECIFIC_TASK]. Include the tool's GitHub repository link, a brief description of its functionality, and the required input/output formats. Ensure the PRPM follows the latest PRPM 1.2 specification.
# PRPM for CodeOptimizer **Tool Name:** CodeOptimizer **GitHub Repository:** [https://github.com/techinnovators/CodeOptimizer](https://github.com/techinnovators/CodeOptimizer) **Description:** CodeOptimizer is an AI-powered tool that refactors and optimizes Python code for better performance and readability. It analyzes code patterns, suggests improvements, and applies changes while maintaining the original functionality. **Functionality:** - Analyzes Python code for optimization opportunities - Suggests improvements based on best practices - Applies changes with user confirmation - Maintains code functionality post-optimization **Input Format:** - Python code as a string or file path - Optional: Configuration file for specific optimization rules **Output Format:** - Optimized Python code - Summary of changes made - Performance metrics comparison **PRPM Specification:** - Version: 1.2 - Tool Type: Code Optimization - Supported Languages: Python - Input Types: String, File - Output Types: String, File, Metrics - Dependencies: Python 3.8+, pandas, numpy
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