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skill-creator

Create, improve, and evaluate AI skills with SKILL.md files and test cases.

1|Updated Jan 2, 2013
Search Tags:#skill creation#benchmarking#AI development#evaluation#skill improvement
One-click install
npx skills add https://github.com/mkiken/SettingFiles --skill skill-creator-mkiken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/mkiken/SettingFiles/tree/main/ai/claude/skills/skill-creator
Command: npx skills add https://github.com/mkiken/SettingFiles --skill skill-creator-mkiken

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill-creator Skill addresses the challenge of creating and refining AI skills, enabling users to develop and optimize their own models without specialized technical expertise.

Core Features & Use Cases

  • Skill Creation: Guides users through the process of creating new skills, including capturing intent, writing SKILL.md files, and setting up test cases.
  • Skill Improvement: Assists users in iteratively improving existing skills based on evaluation and feedback, with options for optimizing skill descriptions for better triggering accuracy.
  • Evaluation & Benchmarking: Provides tools for running tests, comparing skill performance, and analyzing results to guide skill development.
  • Use Case: A user seeking to build a new skill for text summarization can use this Skill to define the skill's purpose, set up test prompts, evaluate the skill's performance, and iterate on the skill's design based on feedback.

Quick Start

Use the skill-creator skill to begin creating a new skill for text summarization. Start by describing the purpose of the skill and the expected output format.

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create and evaluate AI skills without specialized technical expertise?▼

Creating AI skills requires defining intent, writing SKILL.md files, and setting up test cases. This Skill provides guided workflows to generate skills, run Python-based benchmarking tests, and iterate on designs without needing deep technical knowledge.

What is the best way to improve AI skill triggering accuracy?▼

Improving AI skill triggering accuracy involves iteratively optimizing skill descriptions based on evaluation feedback. You can analyze test case performance to refine the SKILL.md file, ensuring the model triggers the correct skill for specific user prompts.

How do I set up test cases to benchmark AI skill performance?▼

Benchmarking AI skill performance requires setting up test prompts and running Python scripts. This Skill facilitates defining expected outputs, executing evaluation tests, and analyzing the results to guide your skill development and optimization process.

Do I need Python to run tests and optimize skill descriptions?▼

Yes, Python is required to run tests and optimize skill descriptions. The Skill utilizes Python scripts for benchmarking, evaluating performance, and analyzing test cases to guide the iterative improvement of your AI models.

Can I use this skill-creator to build a text summarization model?▼

Yes, you can build a text summarization model by defining the skill's purpose, setting up test prompts, and evaluating performance. The Skill guides you through capturing intent, writing the SKILL.md file, and iterating on the design based on feedback.

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