skill-creator

Draft, evaluate, and benchmark AI skills in a streamlined workflow.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/ly2xxx/dot-claude-playground --skill skill-creator-ly2xxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/ly2xxx/dot-claude-playground/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/ly2xxx/dot-claude-playground --skill skill-creator-ly2xxx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables users to create, modify, and evaluate AI skills efficiently, reducing manual effort in skill development and fine-tuning.

Core Features & Use Cases

  • Skill Creation & Editing: Draft, update, and refine skills from scratch or existing templates.
  • Performance Measurement: Run evaluations and benchmark skill effectiveness with quantitative metrics.
  • Iterative Improvement: Use feedback and benchmarking to continuously enhance skills for robust deployment.
  • Use Case: A user wants to develop a new data summarization skill; this tool guides them through drafting prompts, testing on sample inputs, and refining performance iteratively.

Quick Start

Create a new skill from the template and quickly test it on sample questions to see immediate improvements.

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 AI skills efficiently?

You create and evaluate AI skills by drafting prompts, testing on sample inputs, and refining performance iteratively using a streamlined workflow. This combines skill creation, evaluation, and benchmarking into a single automated process.

What is iterative development for prompt engineering?

Iterative development for prompt engineering is the process of using feedback and benchmarking to continuously enhance skill performance. It involves testing draft prompts on sample inputs, measuring effectiveness with quantitative metrics, and refining the output.

How do I benchmark AI skill effectiveness with quantitative metrics?

You benchmark AI skill effectiveness by running evaluations on sample inputs to measure performance with quantitative metrics. This allows you to compare different draft versions and refine the skill for robust deployment.

Can I update an existing skill template instead of starting from scratch?

Yes, you can update an existing skill template instead of starting from scratch. The tool allows you to draft, update, and refine skills from existing templates and quickly test them on sample questions for immediate improvements.

Does this skill creation workflow require external dependencies?

No, this skill creation workflow does not require external dependencies. It operates independently using internal scripts, references, and assets to facilitate rapid development, testing, and refinement of AI skills.

What is the best way to refine a data summarization skill?

The best way to refine a data summarization skill is through iterative development. You draft the initial prompts, test them on sample inputs, run quantitative benchmarking evaluations, and use the feedback to continuously enhance the output.