skill-creator

Create, modify, and evaluate AI skills with documentation and benchmarks.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/aifredoai/sdk --skill skill-creator-aifredoai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/aifredoai/sdk/tree/main/deerflow/skills/public/skill-creator
Command: npx skills add https://github.com/aifredoai/sdk --skill skill-creator-aifredoai

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 developing and refining AI capabilities, from initial concept to performance optimization, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, writing descriptions, and structuring new skills.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of existing skills based on performance metrics and user feedback.
  • Description Optimization: Enhances skill discoverability and triggering accuracy through targeted prompt engineering and evaluation.
  • Use Case: A user wants to build a new AI skill to summarize meeting notes. This Skill will help them define the skill's purpose, write its documentation, create test cases, run evaluations, and optimize its description for better triggering.

Quick Start

Use the skill creator to help me build a new skill that can summarize legal documents.

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 optimize AI skills end-to-end?

To create and optimize AI skills, you need a structured process for defining intent, writing documentation, drafting test cases, and running quantitative benchmarks to evaluate performance and refine triggering accuracy.

What is iterative development for AI tools and prompt engineering?

Iterative development for AI tools involves repeatedly testing, evaluating, and refining skill descriptions and prompt engineering based on performance metrics and user feedback to achieve better triggering accuracy.

Can I run performance testing and quantitative benchmarks on existing AI skills?

Yes, you can run performance testing and quantitative benchmarks on existing AI skills to evaluate their triggering accuracy, identify areas for modification, and refine their descriptions for better discoverability.

Does this AI skill development process work for novice developers?

Yes, this AI skill development process is applicable for both novice and experienced developers, guiding users through defining skill intent, structuring documentation, and creating test cases without requiring advanced prerequisite knowledge.

What is the best way to improve AI skill discoverability and triggering accuracy?

The best way to improve AI skill discoverability is through targeted description optimization, utilizing prompt engineering and evaluation to refine how accurately a skill triggers based on user intent.

Are there limitations when modifying self-contained AI functionalities?

When modifying self-contained AI functionalities, limitations may arise if the skill's initial intent is poorly defined or if quantitative benchmarks lack sufficient test cases to accurately evaluate performance.