skill-creator

Guide interviews to draft SKILL.md and run iterative evaluation loops.

2|1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/mattstruble/skills --skill skill-creator-mattstruble
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/mattstruble/skills/tree/main/skill-creator
Command: npx skills add https://github.com/mattstruble/skills --skill skill-creator-mattstruble

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Skill Creator guides users in turning a vague idea for a new AI skill into a concrete, testable entry by capturing intent, drafting a structured SKILL.md, and outlining an iterative evaluation loop to drive improvement.

Core Features & Use Cases

  • Capture Intent and Draft SKILL.md that clearly defines trigger conditions and the skill's purpose.
  • Guided Eval Loop: design test prompts, run agent-with-access-to-the-skill, collect quantitative metrics, and translate results into actionable improvements.
  • Iterative Refinement: rewrite and optimize the skill based on feedback and benchmarking results, expanding references or tests as needed.
  • Description Optimization: refine the triggering description to improve detection and triggering accuracy.

Quick Start

Draft a new skill from a user goal, run an initial eval loop, and iteratively refine the SKILL.md until the benchmarks improve.

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 refine an AI skill from a vague idea?

To create an AI skill, you capture the initial intent through guided interviews to draft a structured SKILL.md file, then iteratively refine it through an evaluation loop until it meets benchmark standards. This structured approach turns abstract concepts into concrete, testable skills.

What is the best way to evaluate and benchmark prompt-engineering skills?

Evaluating prompt-engineering skills involves designing specific test prompts, running the agent with access to the skill, and collecting quantitative metrics. This guided evaluation loop translates benchmarking results into actionable improvements for iterative refinement.

How do I improve trigger accuracy for AI skills?

Improving trigger accuracy requires description optimization, where you refine the triggering description in the SKILL.md file. By running iterative evaluations and analyzing benchmarking results, you can harden the skill to ensure concise, trigger-accurate entries.

Can I use guided interviews to draft documentation for new skills?

Yes, guided interviews are used to capture user intent and draft the initial SKILL.md documentation. This process clearly defines trigger conditions and the skill's purpose before moving into the testing and iterative evaluation phases.

Does iterative refinement require separate tools for skill creation?

No, iterative refinement does not require separate tools because the creation and evaluation processes are integrated. You draft, run evals, and rewrite the skill within a continuous loop, expanding references or tests as needed to optimize performance.