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skill-creator

Describe and optimize Claude skills with structured evaluation and iteration workflows.

Updated Mar 25, 2026
Search Tags:#automation#workflow#iteration#benchmark#skill-creation#prompt-engineering#eval
One-click install
npx skills add https://github.com/SOLEROM/cldlab --skill skill-creator-solerom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/SOLEROM/cldlab/tree/main/login/tildaClaude_cleanAfterAcceptKey/plugins/marketplaces/claude-plugins-official/plugins/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/SOLEROM/cldlab --skill skill-creator-solerom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, PyYAML.

What problem does it solve?

This Skill provides a repeatable, end-to-end workflow for designing, evaluating, and iterating Claude skills. It helps teams move from concept to a tested and benchmarked skill with structured frontmatter, instructions, and operational guidance, reducing guesswork and accelerating deployment.

Core Features & Use Cases

  • Define and document new skills with standardized SKILL.md frontmatter and body content.
  • Run automated evaluations and benchmarks to measure triggering accuracy and performance.
  • Iterate skill content, prompts, and descriptions based on empirical results.
  • Package and share skills for deployment or collaboration, including validation steps.

Quick Start

Draft the initial skill, run evaluations, and iterate based on results.

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 Claude skills using a structured workflow?▼

To create and iterate Claude skills, use a structured workflow that captures intent, runs automated evaluations, and benchmarks trigger behavior across multiple iterations. This enables rapid embedding of metadata for searchable discovery.

What is the best way to evaluate prompt engineering and trigger behavior for skills?▼

Evaluating prompt engineering involves running automated benchmarks to measure triggering accuracy and performance. This empirical approach helps iterate skill content, prompts, and descriptions based on concrete evaluation coverage.

Can I use Python and PyYAML to generate standardized SKILL.md frontmatter?▼

Yes, you can use Python with the PyYAML dependency to define, generate, and package skills with standardized SKILL.md frontmatter and body content for deployment and collaboration.

Does Anthropic provide an automated benchmarking process for skill-creation?▼

Anthropic dependencies support an automated benchmarking process for skill-creation, allowing teams to measure performance, validate upgrade paths, and iterate based on empirical results.

Why are my skill triggers not working during automated evaluations?▼

Skill triggers might not work during automated evaluations if the structured frontmatter lacks sufficient metadata for searchable discovery, or if the evaluation coverage and trigger behavior are not properly mapped across iterations.

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