apeironics/prompt-refine-skill

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Prompt Refine

A model-aware Agent Skill that silently refines your prompt for the model currently answering.

You just ask. The active model reshapes the request for itself, preserves your language, and answers without showing the rewrite.

Project Introduction | Quick Start | Feature Demonstration | Strategies | Evaluation | Platforms | Examples

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Project Introduction

Prompt Refine is a lightweight, cross-platform Agent Skill. After activation, it detects which model is currently running the conversation and applies that model family’s prompting strategy before answering.

The core design is simple but important: route by host model, not by task. If Claude is answering, Prompt Refine uses the Anthropic strategy for the whole conversation. If GPT is answering, it uses the OpenAI strategy. A coding task never switches Claude into GPT-style prompting, and a writing task never switches GPT into Claude-style XML.

That makes the skill useful anywhere Agent Skills are supported: Claude Code, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot, Windsurf, CodeBuddy, and other compatible tools.

It is context-aware: follow-up requests can inherit the relevant goal, constraints, terminology, and preferences from the conversation, while the newest user instruction still wins.

It is intentionally lightweight: no runtime dependencies, no app server, no extra optimizer call, and only a short skill file plus one selected strategy file in context. The goal is better structure without spending a pile of extra tokens.

Feature Demonstration