skill-creator

Guide Claude skill creation from idea to deploy-ready SKILL.md.

54|18|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/open-fox/agents --skill skill-creator-open-fox
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/open-fox/agents/tree/main/skills/skill-creator
Command: npx skills add https://github.com/open-fox/agents --skill skill-creator-open-fox

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator provides a structured, repeatable workflow for turning bold ideas into fully tested, iterable Claude skills. It guides you from intent capture through SKILL.md drafting, iterative evals, and performance-driven improvements, reducing guesswork and accelerating deployment.

Core Features & Use Cases

  • Structured SKILL creation: draft, test prompts, run evals, and iterate based on results.
  • Automated evaluation loops: compare new descriptions against baselines and track progress with quantitative metrics.
  • Description optimization: refine triggering accuracy using eval feedback and enable faster skill deployment.

Quick Start

Draft a new skill, run evaluations, and iterate until the results meet your goals.

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 iterate on Claude skills from scratch?

You can create Claude skills by guiding the end-to-end lifecycle from initial idea to a deploy-ready SKILL.md, using structured interviews, prompt drafting, and automated evaluation loops to iterate quickly.

What is the best way to automate prompt evaluation for skill creation?

Automated evaluation loops compare new skill descriptions against baselines, track progress with quantitative metrics, and refine triggering accuracy using feedback to optimize prompt engineering workflows.

Can I use this workflow to improve triggering precision for existing SKILL.md files?

Yes, description optimization refines triggering accuracy by running iterative evaluations against baselines, ensuring your SKILL.md file deploys with performance-driven improvements and precise activation.

Do I need PyYAML installed to draft and test prompts with this skill creator?

Yes, PyYAML is a required dependency for running the scripts that draft, evaluate, and iterate on SKILL.md files throughout the structured creation and automation workflow.

What are the limitations of using automated evaluation loops for prompt engineering?

Automated evaluation loops rely on baseline comparisons and quantitative metrics, meaning subjective prompt quality or complex contextual nuances may require manual review beyond the iterative testing phase.