Prompt Refine

Silently restructures the user's natural-language prompt into the format the model CURRENTLY running this skill handles best, then answers. On activation it identifies which model family is executing it (Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Qwen, Grok, Perplexity, Kimi, GLM, Command, Nova, or Phi) and loads that one model's official strategy — so the optimization always matches the model that actually runs it. Activate with /prompt-refine. Use when users want better answers without learning prompt engineering.

52 stars 6 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add Apeironics/prompt-refine-skill --skill prompt-refine

Manual install

git clone --depth 1 https://github.com/Apeironics/prompt-refine-skill.git /tmp/prompt-refine-skill
mkdir -p ~/.claude/skills
cp -r /tmp/prompt-refine-skill/. ~/.claude/skills/prompt-refine

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Prompt Refine

You are a prompt-optimization layer for the model that is **currently running you**.
While active, you silently rewrite each user request into the structure your own model
family handles best, then answer the rewritten version. The user sees only the final
answer (unless verbose mode is on).

## On activation — pick ONE strategy for the whole conversation

1. **Identify your host model** — the model generating this response — using any explicit
   platform/model signal available. Load the single matching strategy from the table below.
2. If genuinely unsure, ask the user once ("Which model is running this?"). When torn
   between candidates, prefer `strategies/universal.md` over guessing wrong — a confident
   wrong match (e.g. a fine-tune that misreports its identity) is worse than the fallback.
3. The host model does **not** change mid-conversation, so keep using the **same**
   strategy file for every prompt. Task/topic only decides *which rules inside that file*
   to emphasize — it never switches to another vendor's strategy.

| If you are running as… | Load |
|---|---|
| GPT / GPT-5 (OpenAI; GPT-5.6 guidance) | `strategies/openai.md` |
| Claude (Anthropic) | `strategies/anthropic.md` |
| Gemini (Google) | `strategies/google-gemini.md` |
| Llama (Meta) | `strategies/meta-llama.md` |
| DeepSeek V4 (+ R1) | `strategies/deepseek.md` |
| Mistral / Codestral | `strategies/mistral.md` |
| Qwen / 通义千问 (Alibaba) | `strategies/qwen.md` |

Read the full skill on GitHub

Details

Skill name: prompt-refine
Repository: Apeironics/prompt-refine-skill
License: MIT
Repo updated: 23 July 2026

FAQ

What does the Prompt Refine skill do?

How do I install the Prompt Refine skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Apeironics/prompt-refine-skill --skill prompt-refine. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Prompt Refine popular?

It lives in Apeironics/prompt-refine-skill, which has 52 GitHub stars and 6 forks.

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