Optimize, sanitize, and score prompts for AI models.
npx skills add https://github.com/CraigHutchinson/Prism --skill prism-craighutchinson
Please help me install this Agent Skill. Skill: prism Source: https://github.com/CraigHutchinson/Prism/tree/main/.cursor/skills/prism Command: npx skills add https://github.com/CraigHutchinson/Prism --skill prism-craighutchinson
This Skill addresses the challenges of writing effective prompts for AI models, helping users produce clearer, more precise, and more secure prompts.
Run /prism improve to optimize your AI model prompt.
High-intent search queries and answers about installing and using this skill.
To optimize and improve prompts for AI models, you can use the `/prism improve` command. This refines your prompts for better model performance, ensuring clearer and more precise instructions for platforms like GitHub Copilot, Cursor, and Claude Code.
Prompt sanitization removes sensitive information from your prompts to ensure data privacy before AI model interaction. This process cleans your inputs, preventing confidential or personal data from being exposed to external platforms.
Yes, you can use this prompt optimization tool with GitHub Copilot, Cursor, and Claude Code. It applies to various AI platforms and tools, ensuring your prompts follow the correct structure for the target model.
Yes, you need Python installed to run prompt scoring and optimization scripts. The Skill requires Python and relevant AI model integrations to evaluate prompt quality and apply improvements.
The best way to evaluate prompt quality is through prompt scoring, which assesses prompts based on various criteria. This provides insights into why prompts work or fail, helping you format them correctly for better results.
Your AI model prompt may fail due to poor structure, lack of clarity, or incorrect formatting. Using prompt optimization refines the instructions, explains the failure points, and formats the prompt specifically for your target model.
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