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skill-creator

Create and refine Claude skills through iterative evaluations and benchmarking.

Updated Mar 30, 2026
Search Tags:#automation#evaluation#creation#benchmark#prompts#skill#evals
One-click install
npx skills add https://github.com/Sjdjdiejdrirhdkjej/Summachat-V2 --skill skill-creator-sjdjdiejdrirhdkjej
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Sjdjdiejdrirhdkjej/Summachat-V2/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/Sjdjdiejdrirhdkjej/Summachat-V2 --skill skill-creator-sjdjdiejdrirhdkjej

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured workflow to create new Claude skills, iteratively improve them, and measure performance through evaluations and benchmarks.

Core Features & Use Cases

  • Skill creation: Build new skills from draft concepts and capture intent, inputs, and outputs.
  • Iterative improvement: Run evaluations, analyze results, and rewrite skill descriptions and prompts for better triggering accuracy.
  • Benchmarking: Collect quantitative metrics to compare skill variants and optimize performance.
  • Description optimization: Generate improved triggering descriptions to maximize discovery and correct invocation.

Quick Start

Draft a new skill, define evaluation prompts, and start iterating to improve trigger reliability.

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 iterate on AI skills with automated benchmarking?▼

AI skill creation follows a repeatable process to define intent, craft prompts, run evaluations, and iterate until skills are reliable and well-triggered across domains. Automated benchmarking collects quantitative metrics to compare skill variants and optimize performance.

What is the best way to improve trigger accuracy for existing prompts?▼

To improve trigger accuracy, run evaluations against your prompts, analyze the results, and rewrite skill descriptions to maximize discovery and correct invocation. Iterative improvement ensures triggering reliability across multiple domains.

Can I use this skill creation workflow for teams that need rigorous, measurable skill development?▼

Yes, this workflow is designed for teams that want rigorous, measurable skill development. It provides a structured process to draft new skills, maintain them, and measure performance through automated evaluations and benchmarks.

How do evaluations and benchmarks work when refining Claude skills?▼

Evaluations and benchmarks work by running defined evaluation prompts, analyzing the results, and collecting quantitative metrics. This allows you to compare skill variants, optimize performance, and generate improved triggering descriptions.

Does this skill development workflow support hooks for scripts and references?▼

Yes, the workflow supports multi-domain skills and provides hooks for scripts, references, and assets as needed. This allows you to extend the skill creation process and integrate external resources during iterative improvement.

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