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promptheus

使用Promptheus MCP服务器进行基于AI的提示优化和改进。每当用户要求精炼、改进、重写或优化提示时,请使用此技能。触发短语包括“精炼这个提示”、“改进这个提示”、“让这个提示更好”、“优化这个提示”、“重写这个提示”,或者任何涉及将现有提示/指令变得更有效的请求。当用户提供粗略的想法、需求或规范,并要求从中生成一个精心制作的提示时,也会触发此技能。

person作者: jakexiaohubgithub

Promptheus Prompt Refinement

Route all prompt refinement requests through the Promptheus MCP tools. Never attempt to refine prompts using your own capabilities -- always delegate to Promptheus.

Workflow

Refine a prompt

  1. Call mcp__promptheus__refine_prompt with the user's prompt text.
  2. If the response type is clarification_needed:
    • Use AskUserQuestion with the questions from questions_for_ask_user_question.
    • Map user answers to question IDs (q0, q1, q2, ...).
    • Call mcp__promptheus__refine_prompt again with the original prompt and the answers dict.
  3. If the response type is refined:
    • Present the refined prompt to the user.
    • If the user originally asked to "execute" or "run" the prompt, use the refined prompt to generate the requested content.

Tweak an existing prompt

When the user wants a targeted adjustment to an already-refined prompt (e.g., "make it shorter", "more technical", "add constraints"):

  1. Call mcp__promptheus__tweak_prompt with the current prompt and the requested modification.
  2. Present the tweaked result to the user.

Rules

  • Never refine or rewrite prompts yourself. Always use Promptheus tools.
  • If Promptheus returns an error, report it to the user and offer to retry or troubleshoot with mcp__promptheus__validate_environment.