skill-creator

Draft SKILL.md content and run with-skill versus without-skill trigger tests.

Updated Mar 15, 2020
One-click install
npx skills add https://github.com/GameDevFox/neko --skill skill-creator-gamedevfox
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/GameDevFox/neko/tree/main/claude/skills/skill-creator
Command: npx skills add https://github.com/GameDevFox/neko --skill skill-creator-gamedevfox

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of designing effective Claude skills by turning an idea into a working draft and then iterating with structured test prompts and quantitative evaluation.

Core Features & Use Cases

  • Skill drafting and refinement: Develop a new skill from scratch or improve an existing one by clarifying intent, triggering conditions, and output expectations.
  • Test-driven iteration loop: Create realistic test prompts, run them with and without the skill, and use user feedback alongside benchmark metrics.
  • Description trigger optimization: Optimize the SKILL.md frontmatter description to improve when Claude actually decides to use the skill.
  • Use cases: Use when you want to (1) create a skill from an outlined workflow, (2) debug under-triggering or over-triggering, (3) measure performance variance, or (4) improve description triggering accuracy.

Quick Start

Use the skill creator to turn your workflow into a new Claude skill: “I want to create a skill that helps with X; here’s what success looks like and how I expect Claude to behave—please draft the SKILL.md, propose eval prompts, and help me iterate with benchmarks.”

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 evaluate Claude skills using iterative development?

To create and evaluate Claude skills, draft the SKILL.md content, generate test prompts, run with-skill vs without-skill trigger tests, and iteratively refine the skill based on qualitative and quantitative benchmark results.

How does trigger optimization work for Claude Code LLM instructions?

Trigger optimization for LLM instructions works by refining the SKILL.md frontmatter description to improve how accurately Claude decides to use the skill, directly addressing under-triggering or over-triggering issues during evaluation.

What is the best way to debug a Claude skill that is not triggering correctly?

The best way to debug incorrect skill triggering is to run structured with-skill versus without-skill evaluation tests, use grader-based expectation scoring, and apply safe improvement guidance to refine the skill description.

Can I benchmark Claude skill performance to measure variance and handle edge cases?

Yes, you can benchmark Claude skill performance by executing evaluation prompts, aggregating benchmark metrics, and using grader-based scoring to measure performance variance and ensure better handling of edge cases.

Do I need existing test prompts to start skill creation, or can I draft them from scratch?

You do not need existing test prompts for skill creation; you can draft a new skill from an outlined workflow and the system will generate realistic test and interview questions to start the iterative loop.

When should I not use test-driven skill iteration for LLM instructions?

You should avoid test-driven skill iteration if your workflow cannot support a structured loop of intent capture, eval execution, and grader-based expectation scoring, or if it requires introducing unsafe and deceptive behavior.