create-a-skill

Create, edit, evaluate, and package AI agent skills as SKILL.md files.

9|Updated Mar 13, 2026

Search Tags:#workflow #benchmarking #evaluation #skill-creation #prompt-engineering #agent-skills #skill-packaging

Ready to run

npx skills add https://github.com/psenger/ai-agent-skills --skill create-a-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: create-a-skill
Source: https://github.com/psenger/ai-agent-skills/tree/main/skills/create-a-skill
Command: npx skills add https://github.com/psenger/ai-agent-skills --skill create-a-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps teams systematically create, edit, evaluate, and package AI agent skills from scratch, ensuring consistent behavior and measurable improvements.

Core Features & Use Cases

Gather requirements and interview stakeholders to define the skill's scope.
Draft SKILL.md (frontmatter + instructions) and assemble optional reference materials.
Run evaluation loops to test triggers, evaluate outputs, and iterate improvements.
Package finalized skills into distributable .skill files.

Quick Start

Draft your initial SKILL.md frontmatter and body, then run the evaluation loop to test and iterate until the skill meets your goals.

Frequently Asked Questions about create-a-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create and package an AI agent skill from scratch?▼

To create an AI agent skill, draft a SKILL.md file with frontmatter and instructions, assemble optional reference materials, run evaluation loops to test triggers, and package the finalized skill into a distributable .skill file.

What is a SKILL.md file and when do I need it for agent skill creation?▼

A SKILL.md file defines an agent skill's structure using frontmatter and instructions. You need it when building, modifying, or optimizing agent skills to ensure consistent behavior and accurate triggering.

How do I benchmark and evaluate agent skill performance?▼

You benchmark agent skill performance by running evaluation loops that test trigger accuracy, evaluate outputs against goals, and iterate improvements until the skill meets measurable performance targets.

Can I optimize an existing agent skill's description for better triggering accuracy?▼

Yes, you can optimize an existing agent skill by editing its SKILL.md description and running evaluation loops to test triggers, measure output quality, and iterate until triggering accuracy improves.

Do I need PyYAML to build and edit agent skills?▼

Yes, PyYAML is required as a dependency to parse and generate the YAML frontmatter used in SKILL.md files when building, editing, or packaging agent skills.

What's the best way to turn a prompt into a reusable agent skill?▼

The best way to turn a prompt into a reusable agent skill is to gather requirements, draft the prompt into a SKILL.md body with frontmatter, run evaluation loops to test behavior, and package it into a .skill file.