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Timothy191
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skill-creator

Create, edit, and optimize AI skills in a Python environment.

Updated May 13, 2026
Search Tags:#code generation#skill creation#AI development#skill optimization#performance measurement
One-click install
npx skills add https://github.com/Timothy191/BREAKILE --skill skill-creator-timothy191
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Timothy191/BREAKILE/tree/main/templates/shadcn-starter/.agents/skills/skill-creator
Command: npx skills add https://github.com/Timothy191/BREAKILE --skill skill-creator-timothy191

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, sklearn, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, modifying, and optimizing AI skills, enhancing user efficiency and skill quality.

Core Features & Use Cases

  • Skill Creation: Guide users through creating new skills from scratch.
  • Skill Editing: Assist in modifying existing skills.
  • Skill Performance Measurement: Benchmark and optimize skill performance.
  • Use Case: If a user wants to develop a new skill for generating code, they can use this Skill to define the skill's functionality, create test prompts, and evaluate the skill's performance.

Quick Start

Create a new skill for generating code with a description of "Generate a Python function to add two numbers."

Frequently Asked Questions about skill-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an AI skill from scratch?▼

To create an AI skill, you define the skill's functionality, generate test prompts, and evaluate performance. This assistant guides you through designing skill capabilities and testing them end-to-end.

What is the best way to benchmark and optimize AI skill performance?▼

Benchmarking AI skill performance requires defining test prompts and measuring outputs against expected results. This assistant facilitates performance measurement to evaluate and refine your skill's execution quality.

Do I need a Python environment to develop and edit AI skills?▼

Yes, you need a Python environment with scikit-learn installed to develop and edit AI skills. Familiarity with AI skill development practices is also required to effectively use the provided scripts and references.

Can I use scikit-learn to measure skill performance metrics?▼

Yes, scikit-learn is a required dependency for this performance measurement process. The assistant leverages the Python scikit-learn environment to benchmark and evaluate the results of your AI skills.

How do I modify existing AI skills without breaking functionality?▼

To modify existing AI skills, you edit the current skill design and then run performance measurement tests. This ensures your modifications refine the skill without breaking its core functionality.

When should I not use an automated assistant for skill creation?▼

You should avoid automated skill creation if you lack a Python environment or familiarity with AI development practices. The assistant requires these prerequisites to effectively design, test, and evaluate skill performance.

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