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skill-creator

Guide end-to-end creation and iterative refinement of AI skills with SKILL.md.

1|Updated Mar 12, 2026
Search Tags:#skill development#testing#prompt engineering#optimization#ai agent#iteration
One-click install
npx skills add https://github.com/BuilderIO/org-agent-starter --skill skill-creator-builderio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/BuilderIO/org-agent-starter/tree/main/.builder/skills/skill-creator
Command: npx skills add https://github.com/BuilderIO/org-agent-starter --skill skill-creator-builderio

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 lifecycle of creating and improving AI-powered skills, from initial concept to performance optimization.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing, and writing SKILL.md for new skills.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of existing skills based on user feedback and performance metrics.
  • Description Optimization: Enhances skill discoverability and triggering accuracy through automated prompt testing.
  • Use Case: You have an idea for a new AI assistant skill to manage your calendar. Use this Skill to draft the SKILL.md, create test cases, run evaluations against a baseline, and iterate on the skill's logic and description until it performs as expected.

Quick Start

Use the skill-creator to help me build a new skill that can summarize long articles.

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 from scratch?▼

To build and test AI skills, you define the intent, draft the SKILL.md file, create test cases, and run evaluations against a baseline. This structured approach ensures the skill performs as expected before deployment.

What is the best way to iteratively improve an existing AI agent skill?▼

Iteratively improve an AI agent skill by running test cases, evaluating performance metrics, and refining the logic through a structured feedback loop. This process benchmarks performance to guide necessary adjustments.

How does prompt engineering optimization improve AI skill triggering accuracy?▼

Prompt engineering optimization improves AI skill triggering accuracy through automated prompt testing and description enhancement. This process increases discoverability and ensures the skill activates correctly based on user intent.

Do I need prior knowledge of skill anatomy to use this development workflow?▼

Yes, this workflow requires a robust understanding of skill anatomy, progressive disclosure, and iterative development principles. These foundations are necessary to effectively guide intent capture and skill definition.

Can I evaluate existing skill descriptions without rebuilding the entire logic?▼

Yes, you can evaluate and optimize existing skill descriptions without rebuilding the entire logic. The workflow supports description optimization to enhance discoverability and triggering accuracy through automated testing.

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