skill-creator

Create, test, and optimize AI skills with SKILL.md files and evaluations.

Updated May 13, 2026
One-click install
npx skills add https://github.com/vepat-a11y/Odoo-Quote-Calc --skill skill-creator-vepat-a11y
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/vepat-a11y/Odoo-Quote-Calc/tree/main/.claude-user/plugins/marketplaces/claude-plugins-official/plugins/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/vepat-a11y/Odoo-Quote-Calc --skill skill-creator-vepat-a11y

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, numpy, pandas, sklearn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of creating, modifying, and optimizing skills, providing expert guidance throughout the entire lifecycle.

Core Features & Use Cases

  • Skill Creation: Assist users in drafting, testing, and iterating on new skill definitions.
  • Skill Optimization: Help refine existing skills for better triggering accuracy and performance.
  • Use Case: Imagine a user wants to create a skill for generating custom reports. The Skill Creator guides them through the process, from capturing intent to running performance evaluations and optimizing the skill's description.

Quick Start

Use the skill-creator skill to guide you through the process of creating a new skill for generating custom reports.

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 test a new AI skill from scratch?

To create an AI skill, you must capture user intent, draft a SKILL.md file, and run performance evaluations. This skill guides you through defining, testing, and iterating on skill definitions to ensure accurate triggering for your intended use cases.

What is the best way to optimize an existing AI skill for better triggering accuracy?

Optimizing an AI skill involves refining its description and running performance evaluations. This skill processes feedback using Python and ML libraries like numpy, pandas, and sklearn to help you iterate and improve triggering accuracy.

Do I need Python and sklearn to run skill performance evaluations?

Yes, you need Python and associated ML libraries including numpy, pandas, and sklearn to run skill performance evaluations. These dependencies are required for executing tasks and processing feedback during skill optimization.

How does writing a SKILL.md file improve AI development workflows?

Writing a SKILL.md file defines the core intent and behavior of your AI skill. It improves AI development workflows by providing a structured definition that can be tested, evaluated, and optimized for accurate triggering in automated systems.

Can I use this skill to generate custom report definitions?

Yes, you can use this skill to generate custom report definitions. It guides you through the complete lifecycle from capturing the initial reporting intent to drafting the skill definition and running performance evaluations.