skill-creator

Create and refine AI skills with performance measurement and trigger optimization.

1|Updated Dec 26, 2025
One-click install
npx skills add https://github.com/YuvalShafriri/Insites-CAA26 --skill skill-creator-yuvalshafriri
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/YuvalShafriri/Insites-CAA26/tree/main/InSites-Brain/design/skills/skill-creator
Command: npx skills add https://github.com/YuvalShafriri/Insites-CAA26 --skill skill-creator-yuvalshafriri

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenges of creating, modifying, and improving AI skills. It enables users to build, iterate, and refine their AI capabilities from scratch, while providing performance measurement and triggering optimization.

Core Features & Use Cases

  • Skill Creation: Start from scratch to create new skills, including defining the skill's purpose and behavior.
  • Iterative Improvement: Iterate on existing skills based on user feedback, optimizing performance and accuracy.
  • Performance Measurement: Test and benchmark skill performance to identify areas for improvement.
  • Trigger Optimization: Optimize the description of the skill to ensure better triggering by Claude.

Quick Start

Begin crafting your AI skill using the skill-creator. Define your skill's intent and functionality, then run evaluations and iterate based on user feedback.

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 iterate on AI skills from scratch?

To create and iterate on AI skills, you define the skill's purpose and behavior, run performance measurements, and refine it based on user feedback. This iterative development process ensures your capabilities are continuously optimized for accuracy.

What is trigger optimization for AI skill invocation?

Trigger optimization for AI skill invocation involves refining the skill's description to ensure it is accurately selected by Claude. Optimizing triggers enhances invocation accuracy, ensuring the correct skill is activated for the user's specific request.

How do I measure AI skill performance during development?

You measure AI skill performance by running tests and benchmarks provided during the development workflow. Performance measurement identifies specific areas for improvement, allowing you to iteratively refine the skill's accuracy and behavior.

Do I need Python to build AI skills with this iterative development process?

Yes, you need Python installed to execute the scripts required for this AI skill development process. Knowledge of AI development workflows is also necessary to properly define, test, and refine your capabilities.

What is the best way to improve an existing AI skill's accuracy?

The best way to improve an existing AI skill's accuracy is through iterative improvement based on user feedback. By testing and benchmarking performance, you can identify weaknesses and refine the skill's behavior for better results.