skill-creator

Draft SKILL.md files and refine them through prompt-based test evaluations.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/zhboner/Agent-Skills --skill skill-creator-zhboner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/zhboner/Agent-Skills/tree/main/Global-skills/skill-creator
Command: npx skills add https://github.com/zhboner/Agent-Skills --skill skill-creator-zhboner

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you go from a rough idea to a working agent Skill by drafting, testing with realistic prompts, and iterating based on quantitative benchmarks and qualitative review.

Core Features & Use Cases

  • Skill drafting and refinement: Turn user intent into a new SKILL.md (or improve an existing one) with clear trigger conditions and workflow instructions.
  • Test-driven evaluation loop: Create a small test set, run it with and without the skill, and compare behavior to identify regressions and gains.
  • Quantitative benchmarking and variance analysis: Draft and run verifiable eval expectations and analyze pass rate, timing, and resource usage.
  • Description optimization for triggering accuracy: Generate trigger eval queries and iteratively improve SKILL.md frontmatter description so the agent invokes the skill at the right moments.

Quick Start

Tell the skill where you are in the process (e.g., “I want to create a skill for X” or “I already have a draft and want to improve it”), then answer the initial interview questions about triggers, output format, and evaluation preferences.

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 agent workflows iteratively?

You can create and test agent workflows by drafting a SKILL.md from user intent, running prompt-based test cases with and without the skill, and refining instructions using qualitative outputs and quantitative metrics.

What is skill benchmarking and how does it evaluate agent performance?

Skill benchmarking evaluates agent performance by running verifiable eval expectations to analyze pass rate, timing, and resource usage, which helps identify regressions and gains across test cases.

How do I optimize trigger descriptions so the agent invokes skills at the right moments?

To optimize trigger descriptions, generate trigger eval queries and iteratively improve the SKILL.md frontmatter description so the agent invokes the skill at the correct moments based on user intent.

Can I use prompt-based test cases to compare agent behavior with and without a skill?

Yes, you can run prompt-based test cases with and without the skill to compare behavior, using benchmarking aggregation and qualitative review to identify regressions and gains.

What's the best way to refine skill instructions using evals and benchmarking aggregation?

The best way to refine skill instructions is to run test cases, collect quantitative metrics and qualitative outputs via benchmarking aggregation, and iteratively update workflow instructions and trigger descriptions based on eval results.

Do I need an existing draft to start skill development, or can I begin from a rough idea?

You can start skill development from a rough idea without an existing draft by answering interview questions about triggers, output format, and evaluation preferences to generate a draft SKILL.md.