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skills-refiner

v1.0.7

Published

A geeky CLI tool to refine and translate SKILL.md for AI Agents.

Readme

Skill Refiner CLI 🚀

中文文档

Skill Refiner CLI is a terminal tool built for AI engineers, designed to maximize the effectiveness of your SKILL.md files in AI engines through automated language translation and logic reconstruction (CoT).

🌟 Key Features

  • Native Thinking: Write logic in your native language and reconstruct it into authentic AI-native instructions (English context) with one click.
  • Logic Elevation: Automatically reconstruct into Chain of Thought (CoT) structures to significantly improve Agent task success rates.
  • Full Package Download: Recursively downloads all subdirectories and files from the GitHub skill repository.
  • Privacy First: Your API Key is only stored locally.
  • Minimalist Authentication: Supports automatic browser callback login, no manual copy-pasting required.

📦 Prerequisites

📦 Installation

You can install globally or run without installation using npx.

# Global installation
npm install -g skills-refiner

🚀 Usage Guide

1. Configure Default Language

skills-refiner config

Once configured, subsequent commands will use your default language if -l <language> is not specified.

2. Download Skill (Raw)

skills-refiner OpenAI/doc

Downloads the full package for the OpenAI/doc skill.

3. Download & Refine/Translate

skills-refiner <skill_name> -l <language>
# Example:
skills-refiner OpenAI/doc -l zh-CN

4. Refine Existing Local File

# Enter the directory containing the SKILL.md file first
skills-refiner -l <language>

5. List Supported Languages

skills-refiner -ls

6. Help Information

skills-refiner -h

🔒 Privacy Statement

  1. API Key Storage: Your API Key is stored in your local system configuration directory using conf, protected by the OS.
  2. Data Transmission: SKILL.md content is sent to our servers for AI processing ONLY during refinement tasks.
  3. Device ID: Anonymously generated device IDs are used solely for visitor quota tracking.

📄 License

MIT License