skills/promptheus/SKILL.md
AI-powered prompt refinement and improvement using the Promptheus MCP server. Use this skill whenever the user asks to refine, improve, rewrite, or optimize a prompt. Trigger phrases include "refine this prompt", "improve this prompt", "make this prompt better", "optimize this prompt", "rewrite this prompt", or any request that involves taking an existing prompt/instruction and making it more effective. Also triggers when the user provides rough ideas, requirements, or specifications and asks for a well-crafted prompt to be generated from them.
npx skillsauth add abhichandra21/dotclaude promptheusInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Route all prompt refinement requests through the Promptheus MCP tools. Never attempt to refine prompts using your own capabilities -- always delegate to Promptheus.
mcp__promptheus__refine_prompt with the user's prompt text.type is clarification_needed:
AskUserQuestion with the questions from questions_for_ask_user_question.q0, q1, q2, ...).mcp__promptheus__refine_prompt again with the original prompt and the answers dict.type is refined:
When the user wants a targeted adjustment to an already-refined prompt (e.g., "make it shorter", "more technical", "add constraints"):
mcp__promptheus__tweak_prompt with the current prompt and the requested modification.mcp__promptheus__validate_environment.documentation
Rephrase, correct, and expand writing with context-aware improvements. Use when the user needs help with (1) Rephrasing text for clarity, tone, or style improvements, (2) Correcting grammatical errors, typos, or spelling mistakes, (3) Expanding rough ideas, bullet points, or fragments into full prose. Trigger phrases include "rephrase this", "fix this text", "help me write", "expand this idea", or simply providing text that needs improvement.
tools
Multi-LLM review board. Sends any document (architecture docs, design docs, RFCs, API specs, runbooks) to external LLM CLIs (Codex, Gemini, GitHub Copilot) for independent review, synthesizes feedback, then optionally drives rebuttal rounds and consensus building. Multi-round, each round is opt-in. Trigger phrases include "review this doc", "get external review", "send to chatgpt and gemini", "review board", or any request to have a document reviewed by other LLMs.
tools
Multi-model review board powered by GitHub Copilot CLI. Sends any document to multiple AI models (GPT, Claude, Gemini) via a single Copilot CLI for independent review, synthesizes feedback, then optionally drives rebuttal rounds and consensus building. Uses Copilot subscription tokens instead of separate API keys. Trigger phrases include "copilot review", "review board copilot", "multi-model review", "debate this", "copilot debate", or any request for Copilot-powered document review or focused design debate.
tools
Multi-model code review board powered by GitHub Copilot CLI. Reviews PRs, branches, commits, or uncommitted changes by sending review targets to multiple AI models (GPT, Claude, Gemini) via Copilot CLI. Models fetch diffs and browse the codebase independently, then Claude synthesizes findings through optional rebuttal and consensus rounds. Uses Copilot subscription tokens instead of separate API keys. Trigger phrases include "code review copilot", "copilot code review", "review this PR", "review my changes", "review this branch", "copilot debate code", or any request for Copilot-powered code review or code-focused design debate.