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skill-creator

Automate skill design, testing, and optimization for Claude-like agents.

1|Updated Apr 15, 2026
Search Tags:#automation#workflow#evaluation#iteration#skill#prompt-engineering
One-click install
npx skills add https://github.com/Paradiddle131/global-ai-customizations --skill skill-creator-paradiddle131
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Paradiddle131/global-ai-customizations/tree/main/skills/skill-creator
Command: npx skills add https://github.com/Paradiddle131/global-ai-customizations --skill skill-creator-paradiddle131

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users create, iterate, and optimize new skills from scratch, streamlining design, testing, and evaluation in a repeatable workflow.

Core Features & Use Cases

  • Skill lifecycle management: draft, test, evaluate, and iterate skills end-to-end.
  • Automated evaluation loops: run prompts against skills, collect results, and compare improvements.
  • Describe & trigger optimization: generate improved SKILL.md descriptions and benchmark performance.
  • Real-world use: bootstrap a new capability and iterate until reliability of triggering is achieved.

Quick Start

Create a minimal SKILL.md and start the evaluation loop to begin iterative improvement.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate skill evaluation and iteration for Claude-like agents?▼

Automate skill evaluation by running prompts against your drafted SKILL.md, collecting trigger results, and iterating descriptions to improve reliability. This Skill manages the end-to-end lifecycle of design, testing, and optimization.

What is the best way to optimize trigger reliability for agent skills?▼

Optimize trigger reliability by running automated evaluation loops that benchmark performance, analyze results, and update SKILL.md frontmatter and body content to iteratively refine descriptions.

Do I need PyYAML to draft and test SKILL.md files?▼

Yes, PyYAML is required as a dependency to parse and manage SKILL.md frontmatter. You need this environment setup to run the automated evaluation loops and update skill configurations.

How to start the skill lifecycle workflow from a minimal SKILL.md?▼

Start the skill lifecycle by creating a minimal SKILL.md file and triggering the evaluation loop. The workflow then automatically drafts content, runs trigger evaluations, and packages resources for distribution.

Can I benchmark prompt engineering results against multiple skill iterations?▼

Yes, you can benchmark prompt engineering results by running automated evaluation loops that compare improvements across iterations. The workflow collects results and analyzes performance to guide description updates.

What are the limitations of automated skill design and testing workflows?▼

Automated skill testing focuses on trigger reliability and description optimization within Claude-like agents. It does not handle runtime execution logic or external API integrations, limiting scope to lifecycle management and packaging.

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