skill-creator

Automates the end-to-end lifecycle of Claude skills from drafting to deployment.

Updated Jan 23, 2026
One-click install
npx skills add https://github.com/paradox123/shared-ai-docs --skill skill-creator-paradox123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/paradox123/shared-ai-docs/tree/main/skills-repo/skills/skill-creator
Command: npx skills add https://github.com/paradox123/shared-ai-docs --skill skill-creator-paradox123

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator provides a structured workflow to design, test, and iterate Claude skills. It guides users through drafting SKILL.md, running evaluations, benchmarking results, and refining the triggering description to maximize reliability and discovery.

Core Features & Use Cases

  • Guided skill drafting: establish a clear name, description, and workflow for a new skill.
  • Evaluation and benchmarking: run prompts, collect metrics, and compare configurations (with_skill vs without_skill).
  • Iterative improvement: automatically propose description updates based on evaluation results and history.
  • Description optimization: optionally run a separate pass to improve triggering accuracy and discovery.
  • Documentation scaffolding: provide structured SKILL.md templates and utilities to package skills.

Quick Start

Describe your intended skill and I will guide you through drafting a first SKILL.md, running initial evals, and iterating toward a polished, trigger-optimized skill.

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 Claude skills systematically?

To create and test Claude skills, you draft a SKILL.md file with frontmatter and optional directories like scripts or assets. The Skill Creator provides a structured workflow to draft, evaluate, benchmark, and iteratively improve skills.

How does evaluation and benchmarking work for Claude skills?

Evaluation and benchmarking for Claude skills involve running prompts and collecting metrics to compare configurations, such as with_skill versus without_skill. This process measures reliability and identifies areas for iterative improvement.

How can I optimize skill triggering descriptions for better discovery?

You optimize skill triggering descriptions by running a dedicated optimization pass that proposes updates based on evaluation results and history. This maximizes triggering accuracy and ensures reliable skill activation.

Do I need YAML to draft SKILL.md files for Claude skills?

Yes, YAML is required as a dependency to manage SKILL.md frontmatter. The frontmatter loads metadata, executes deterministic tasks through scripts, and provides context during skill activation.

What is the best way to iterate on skill configurations after running benchmarks?

The best way to iterate on skill configurations is to use evaluation results and benchmark history to automatically propose description updates. This iterative improvement loop refines the skill toward a polished, trigger-optimized state.