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Xantibody
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skill-creator

Creates AI skills with SKILL.md files and automated test evaluations.

1|Updated Dec 12, 2024
Search Tags:#skill development#prompt engineering#optimization#llm#evaluation#ai tools
One-click install
npx skills add https://github.com/Xantibody/dotfiles --skill skill-creator-xantibody
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Xantibody/dotfiles/tree/main/configs/claude/skills/skill-creator
Command: npx skills add https://github.com/Xantibody/dotfiles --skill skill-creator-xantibody

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the entire process of creating, improving, and measuring the performance of AI skills, making it accessible to users of all technical backgrounds.

Core Features & Use Cases

  • Skill Creation: Guide users through defining intent, writing SKILL.md, and structuring skill resources.
  • Iterative Improvement: Facilitate testing, evaluation, and refinement of existing skills based on performance metrics and user feedback.
  • Description Optimization: Automatically tune skill descriptions for maximum triggering accuracy.
  • Use Case: You have an idea for a new AI skill to manage project tasks. Use this Skill to help you draft the SKILL.md, create test cases, run evaluations, and optimize the description so Claude Code uses it effectively.

Quick Start

Use the skill-creator to help me build a new skill that can summarize meeting transcripts.

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 structure AI skills from an initial concept?▼

AI skill creation involves defining intent, writing the SKILL.md file, and structuring resources. This process guides you from initial concept to deployment, making skill development accessible.

What is the best way to optimize AI skill descriptions for better triggering?▼

Optimizing AI skill descriptions involves automatically tuning text for maximum triggering accuracy. This refinement enhances discoverability and ensures correct activation.

How does automated evaluation work for iterative prompt engineering?▼

Automated evaluation for iterative prompt engineering works by running test cases, benchmarking performance metrics, and refining logic. This framework facilitates continuous improvement based on measurable outcomes.

Can I use this skill development process without prior technical knowledge?▼

You can use this skill development process without deep technical knowledge. It streamlines creation, improvement, and measurement of AI skills, making the lifecycle accessible to all backgrounds.

Why should I benchmark AI skill performance instead of manual testing?▼

Benchmarking AI skill performance provides quantifiable metrics that manual testing lacks. It enables iterative improvement by integrating LLM-based analysis to identify weaknesses and refine behavior.

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