prompt-refine-skill — Agent Tool by Li-Bailiang

by Li-Bailiang · Agent Tool · ★ 84

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About prompt-refine-skill

English | 中文 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 | Q

agent-skillagent-skillsai-toolsprompt-engineeringprompt-refine

Quick Facts

Stars84
Forks11
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score72.9577798536866/100
Open Issues2
Last Updated2026-06-17
Created2026-06-05
Platformspython
Est. Tokens~17k

Compatible Skills

These tools work well together with prompt-refine-skill for enhanced workflows:

  • bria-skill — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • claude-prompts — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • paper-fetch — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is prompt-refine-skill?

prompt-refine-skill is Agent Skill that silently refines prompts for the currently running model. It is categorized as a Agent Tool with 84 GitHub stars.

What programming language is prompt-refine-skill written in?

prompt-refine-skill is primarily written in Python. It covers topics such as agent-skill, agent-skills, ai-tools.

How do I install or use prompt-refine-skill?

You can find installation instructions and usage details in the prompt-refine-skill GitHub repository at github.com/Li-Bailiang/prompt-refine-skill. The project has 84 stars and 11 forks, indicating an active community.

What license does prompt-refine-skill use?

prompt-refine-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to prompt-refine-skill?

The top alternatives to prompt-refine-skill on Agent Skills Hub include claudepro-directory, agent-skills, claude-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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