skill-creator

Develop, test, and optimize custom AI skills with quantitative benchmarking.

Updated May 3, 2026
One-click install
npx skills add https://github.com/skogai/marketplace --skill skill-creator-skogai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/skogai/marketplace/tree/main/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/skogai/marketplace --skill skill-creator-skogai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill streamlines the complex lifecycle of creating, testing, and refining AI skills, ensuring they are accurate, reliable, and performant.

Core Features & Use Cases

  • Iterative Development: Guides you through drafting, testing, and refining skill instructions based on real-world performance.
  • Quantitative Benchmarking: Automatically runs test cases against baselines to measure pass rates, token usage, and execution time.
  • Trigger Optimization: Uses automated loops to refine skill descriptions, ensuring Claude triggers the skill exactly when needed.
  • Use Case: You have a custom workflow for generating technical reports. Use this skill to draft the instructions, run it against 20 test prompts, and automatically optimize the description so Claude knows exactly when to use your report generator.

Quick Start

Use the skill-creator to initialize a new skill project for my custom data analysis workflow.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I benchmark and test custom AI skills against baseline performance?

You can benchmark custom AI skills by running automated test suites against baselines to measure pass rates, token usage, and execution time. This skill generates quantitative assertion grading to evaluate iterative performance improvements.

What is the best way to optimize AI skill descriptions for accurate triggering?

Optimizing AI skill descriptions for accurate triggering uses automated loops to refine the text, ensuring Claude invokes the skill exactly when needed. This automated description tuning improves workflow triggering accuracy.

How do I set up an iterative development workflow for prompt engineering?

Iterative development for prompt engineering involves drafting, testing, and refining skill instructions based on real-world performance. This skill facilitates the end-to-end lifecycle by managing iterations and baseline comparisons in a structured workspace.

Do I need a structured workspace to manage AI skill testing and execution transcripts?

Yes, a structured workspace is required to manage iterations, baseline comparisons, and execution transcripts. This environment supports the end-to-end development and evaluation of custom AI skills.

Can I automate the evaluation of test cases for my custom AI workflows?

Yes, you can automate the evaluation of test cases for custom AI workflows. The skill supports creating test suites and applying quantitative assertion grading to automatically measure execution performance and accuracy.

Why does my custom AI skill fail to trigger correctly in automated workflows?

Custom AI skills fail to trigger correctly when descriptions lack optimization. This skill uses automated description tuning loops to refine triggering accuracy, ensuring Claude activates the workflow exactly when needed.