skill-creator

Create, test, and refine AI skills with SKILL.md files.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/ximing/echoe --skill skill-creator-ximing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/ximing/echoe/tree/main/.claude/skills/anthropics.skill-creator
Command: npx skills add https://github.com/ximing/echoe --skill skill-creator-ximing

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 evaluating AI skills, making it accessible even for those new to AI development.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing SKILL.md, and structuring skill directories.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of skills based on user feedback and performance metrics.
  • Description Optimization: Automatically tunes skill descriptions for optimal triggering accuracy.
  • Use Case: You have an idea for a new AI capability, like summarizing meeting notes. Use this Skill to draft the initial skill, create test cases, run evaluations, analyze the results, and iterate on the skill's logic and description until it performs perfectly.

Quick Start

Use the skill-creator to help me build a new skill that summarizes technical documents.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build and test AI skills for prompt engineering?

You can build AI skills by defining intent, writing SKILL.md, and structuring directories, then refine them through iterative testing, evaluation, and performance benchmarking within execution environments.

What is the best way to optimize AI skill descriptions for discoverability?

Optimizing AI skill descriptions requires automated tuning to enhance triggering accuracy, ensuring the LLM skill is discovered and executed correctly during user queries.

Can I use this to evaluate and refine AI skills based on performance metrics?

Yes, you can evaluate and refine AI skills using performance metrics and user feedback. The system facilitates iterative improvement by analyzing results from integrated AI model execution environments.

Do I need prior AI development experience to create LLM skills?

No prior AI development experience is strictly required. The system streamlines the end-to-end lifecycle from concept to deployment, making skill creation accessible even for new users.

How does performance benchmarking work for AI tools?

Performance benchmarking works by integrating with AI model execution environments to analyze skill logic, generating metrics that guide iterative refinement and optimization of prompts.