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skill-creator

Guide iterative creation, testing, and improvement of AI skills.

Updated Jun 3, 2026
Search Tags:#skill creation#AI development#iterative development#AI optimization#performance measurement
One-click install
npx skills add https://github.com/antigravityos187-sketch/universal-or-strategy --skill skill-creator-antigravityos187-sketch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/antigravityos187-sketch/universal-or-strategy/tree/main/.bob/skills/skill-creator
Command: npx skills add https://github.com/antigravityos187-sketch/universal-or-strategy --skill skill-creator-antigravityos187-sketch

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of creating, modifying, and optimizing AI skills, providing a framework for iterative development and performance measurement.

Core Features & Use Cases

  • Skill Creation: Guides users through the process of designing and implementing new AI skills.
  • Skill Modification: Allows users to refine existing skills based on feedback and testing.
  • Performance Measurement: Provides tools for evaluating skill effectiveness and identifying areas for improvement.
  • Use Case: Imagine you want to create an AI skill that helps users analyze financial data. Use this Skill to design the skill, create test cases, run evaluations, and iterate on the skill based on user feedback.

Quick Start

Create a new skill for financial data analysis by running the 'skill-creator' skill and following the prompts to define the skill's functionality and test cases.

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 with performance measurement?▼

You can create and iterate on AI skills by using a guided framework for iterative development that includes defining, testing, and evaluating performance to identify areas for improvement.

What is the best way to modify existing AI skills based on testing feedback?▼

The best way to modify AI skills is through an iterative development workflow that allows you to refine implementations based on test case evaluations and user feedback to optimize effectiveness.

Do I need Python to run AI skill creation and optimization workflows?▼

Yes, you need Python installed in your environment to execute the AI skill creation framework, which utilizes various Python-based tools for skill evaluation and performance measurement.

Can I evaluate AI skill effectiveness automatically during development?▼

Yes, you can evaluate AI skill effectiveness automatically by running evaluation tools that measure performance against defined test cases and highlight specific areas for optimization.

How do I design test cases for a new financial data analysis AI skill?▼

To design test cases for a financial data analysis AI skill, follow the skill creation prompts to define the required functionality, then generate evaluations to measure and iterate on performance.

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