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skill-creator

Guide creation, testing, and iteration of AI skills with SKILL.md files.

Updated Feb 13, 2026
Search Tags:#skill development#testing#workflow automation#prompt engineering#ai agent#iteration
One-click install
npx skills add https://github.com/simplysmartai/5cypressautomation --skill skill-creator-simplysmartai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/simplysmartai/5cypressautomation/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/simplysmartai/5cypressautomation --skill skill-creator-simplysmartai

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, testing, and improving AI skills, ensuring they are robust, efficient, and meet high-quality standards.

Core Features & Use Cases

  • Intent Capture: Guides users through defining skill purpose, triggers, and success criteria.
  • Drafting & Design: Assists in writing clear, concise SKILL.md files with proper structure and principles.
  • Testing & Evaluation: Facilitates systematic testing with parallel execution, assertion drafting, and an interactive evaluation viewer.
  • Iteration & Optimization: Supports iterative refinement based on feedback and optimizes skill descriptions for better triggering.
  • Use Case: When a user says "I need a skill to automate customer support ticket categorization," you would use the skill creator to guide them through defining the skill, writing its instructions, testing it with example tickets, and refining it until it accurately categorizes tickets.

Quick Start

Use the skill-creator to build a new skill that can automatically 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 build and test AI skills for workflow automation?▼

Building and testing AI skills involves capturing intent, drafting SKILL.md files, executing parallel tests with generated assertions, and iteratively refining the skill based on evaluation feedback to ensure robust workflow automation.

What is the best way to write a SKILL.md file for an AI agent?▼

The best way to write a SKILL.md file is by defining the skill's purpose, triggers, and success criteria, then structuring clear, concise instructions that align with prompt engineering principles to guide the AI agent's behavior.

How does systematic testing work when developing prompt engineering workflows?▼

Systematic testing in prompt engineering workflows works by facilitating parallel test execution, drafting specific assertions, and using an interactive evaluation viewer to analyze results and drive iterative refinement of the AI skill.

Can I optimize AI skill descriptions to improve automated triggering?▼

Yes, you can optimize AI skill descriptions for automated triggering by iteratively refining the text based on testing feedback, ensuring the skill accurately captures intent and activates for the correct use cases.

Do I need prior prompt engineering experience to create AI skills?▼

No, you do not need extensive prior prompt engineering experience, as the creation process guides you through intent capture, drafting, and testing to ensure your SKILL.md files meet high-quality standards.

How do I iterate on an AI skill that is not triggering correctly?▼

To iterate on an AI skill that is not triggering correctly, use the interactive evaluation viewer to analyze test results, optimize the skill description, and refine the SKILL.md instructions until the workflow automation triggers accurately.

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