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skill-creator

Create and improve AI skills with SKILL.md frontmatter and subagents.

36|1|Updated Jun 4, 2026
Search Tags:#benchmarking#AI development#performance optimization#skill refinement#AI skill creation
One-click install
npx skills add https://github.com/AbyssCN/xihe --skill skill-creator-abysscn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/AbyssCN/xihe/tree/main/skills/skill-creator
Command: npx skills add https://github.com/AbyssCN/xihe --skill skill-creator-abysscn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator helps users design and iterate on custom AI skills, streamlining the process of creating, testing, and optimizing AI-powered applications.

Core Features & Use Cases

  • Skill Creation: Facilitates the creation of new skills, allowing users to define functionality and trigger conditions.
  • Skill Improvement: Enables iterative testing and refinement of existing skills through structured feedback loops.
  • Benchmarking: Offers benchmarking tools to measure skill performance and identify areas for improvement.
  • Description Optimization: Provides guidance on optimizing skill descriptions for better triggering accuracy.
  • Use Case: Ideal for developers, engineers, or anyone looking to build custom AI-powered applications, whether for personal projects, prototypes, or full-fledged systems.

Quick Start

Run the skill-creator skill and follow the prompts to create a new skill for generating code reviews.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create custom AI skills and define their trigger conditions?▼

To create custom AI skills, you define functionality and trigger conditions using a structured approach with SKILL.md frontmatter. This automates skill creation by allowing you to specify execution parameters for various AI frameworks.

How do I improve and benchmark AI skill performance for existing applications?▼

Benchmarking AI skill performance involves running iterative testing and structured feedback loops to measure execution results. This identifies optimization areas and refines trigger accuracy for existing AI applications.

Do I need subagents and scripts to run AI skill creation and testing workflows?▼

Yes, you need subagents and scripts to run AI skill creation workflows. Subagents handle execution and analysis during iterative testing, while scripts and references provide the structured environment for benchmarking performance.

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

Optimizing AI skill descriptions for triggering accuracy requires applying structured guidance during skill refinement. This process improves how applications interpret functionality definitions and execute intended tasks across platforms.

Can I use this structured approach to build AI skills for different frameworks and platforms?▼

Yes, you can use this structured approach to build AI skills for different frameworks. The skill creation process is compatible with various AI platforms, requiring only SKILL.md frontmatter and subagent access for execution.

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