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acme-skunkworks
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skill-creator

Create, evaluate, and optimize AI skill descriptions with Python.

Updated Apr 30, 2026
Search Tags:#skill development#benchmarking#performance optimization#AI#description optimization
One-click install
npx skills add https://github.com/acme-skunkworks/markdownlint-config --skill skill-creator-acme-skunkworks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/acme-skunkworks/markdownlint-config/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/acme-skunkworks/markdownlint-config --skill skill-creator-acme-skunkworks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires markdownlint, scripts.aggregate_benchmark, scripts.generate_report, scripts.run_loop, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The skill-creator empowers users to efficiently create, refine, and measure the performance of custom AI skills.

Core Features & Use Cases

  • Skill Creation: Design new skills from scratch or enhance existing ones.
  • Evaluation & Benchmarking: Test and analyze skill performance through various quantitative and qualitative measures.
  • Description Optimization: Improve skill descriptions for better triggering accuracy.
  • Use Case: A user wants to create a skill that generates custom dashboards based on internal data. The skill-creator can help draft the skill, set up test cases, and iterate based on feedback to optimize the skill's effectiveness.

Quick Start

Use the skill-creator to help me create a new skill for generating dashboards from internal data.

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 benchmark custom AI skills from scratch?▼

You can optimize AI skill descriptions by testing triggering accuracy through benchmarking scripts. The skill-creator analyzes performance data and iterates on the description text to improve how reliably the AI activates the intended skill.

Do I need Python to run skill development and evaluation tools?▼

The skill-creator distinguishes itself by providing an end-to-end workflow for skill development. Unlike basic text editors, it integrates quantitative benchmarking, description optimization, and automated report generation to iteratively improve triggering accuracy.

What is the best way to optimize AI skill descriptions for better triggering accuracy?▼

You can optimize AI skill descriptions by testing triggering accuracy through benchmarking scripts. The skill-creator analyzes performance data and iterates on the description text to improve how reliably the AI activates the intended skill.

Do I need Python to run skill development and evaluation tools?▼

Yes, Python is required to execute the skill-creator workflow. The environment relies on Python scripts and various subagents to run evaluation loops, aggregate benchmark data, and generate performance reports.

How does the skill-creator compare to other tools for AI skill development?▼

The skill-creator distinguishes itself by providing an end-to-end workflow for skill development. Unlike basic text editors, it integrates quantitative benchmarking, description optimization, and automated report generation to iteratively improve triggering accuracy.

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