skill-creator

Guides teams through creating and refining formal SKILL.md documents.

13|4|Updated Apr 27, 2026
One-click install
npx skills add https://github.com/memect/kc --skill skill-creator-memect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/memect/kc/tree/main/template/skills/zh/skill-creator
Command: npx skills add https://github.com/memect/kc --skill skill-creator-memect

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator helps teams draft, version, and improve skills by providing a structured workflow to ideate, write SKILL.md, run evaluation loops, and iterate based on feedback and benchmarks.

Core Features & Use Cases

  • Guided skill creation and refinement: turn ideas into a formal SKILL.md with frontmatter and instructions.
  • End-to-end evaluation loop: run trigger tests, generate reviewer feedback, and capture iteration history.
  • Benchmarking and improvement: compare skill variants with automated scoring and informed recommendations to push quality upward.

Quick Start

Draft an initial SKILL.md for a new capability, scaffold a minimal eval set, and run the end-to-end evaluation and improvement loop to iterate toward a polished 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 iterate on Claude skills using an automated workflow?

To create and iterate on Claude skills, you can use a structured workflow to draft a SKILL.md file, run trigger tests, generate reviewer feedback, and execute evaluation loops to refine the skill based on benchmarks.

What is the best way to benchmark skill performance and push quality upward?

The best way to benchmark skill performance is to compare skill variants using automated scoring and informed recommendations, capturing iteration history to push quality upward through continuous evaluation loops.

Do I need Python and PyYAML to draft a formal SKILL.md with frontmatter?

Yes, you need Python and the PyYAML dependency to draft a formal SKILL.md with frontmatter, as the skill creation and refinement workflow relies on these libraries to scaffold and process evaluation sets.

Can I run end-to-end evaluation loops for skill creation without writing custom test scripts?

Yes, you can run end-to-end evaluation loops without writing custom test scripts by using the provided scripts to scaffold a minimal eval set, execute trigger tests, and generate reviewer feedback automatically.

How does capturing iteration history improve the skill refinement process?

Capturing iteration history improves the skill refinement process by tracking evaluation loops and reviewer feedback, allowing teams to compare skill variants against benchmarks and make informed recommendations for targeted improvements.