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skill-creator

Create, evaluate, and iterate Claude Skills with frontmatter and automation hooks.

16|7|Updated Apr 1, 2026
Search Tags:#workflow#productivity#evaluation#claude-code#skill-creation#prompt-engineering
One-click install
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill skill-creator-ai-analyst-lab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/ai-analyst-lab/ai-analyst-plus/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill skill-creator-ai-analyst-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Designing and maintaining Claude Code skills is a multi-step process that benefits from a clear workflow. This Skill provides a structured approach to create, test, and iterate on skills so teams can ship reliable capabilities faster.

Core Features & Use Cases

  • Guided Skill Creation: jumpstart new skills with a proven framework, from intent capture to frontmatter and body.
  • Iterative Improvement: run evals, view results, and refine the skill description and instructions based on feedback.
  • Benchmark-ready Tools: includes helpers for evaluation, parsing skill metadata, and packaging skills for deployment.

Quick Start

Initiate a new skill by drafting SKILL.md and kick off the evaluation loop to begin refining trigger accuracy.

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 Claude Skills using a structured workflow?▼

To create and evaluate Claude Skills, draft the initial SKILL.md file, set up an evaluation loop, and iteratively refine the frontmatter and instructions based on performance feedback.

What is the best way to automate prompt engineering and skill creation in Claude Code?▼

Automating prompt engineering and skill creation involves composing a robust plan with automation hooks, reusing existing scripts, and running benchmark evaluations to iterate on the skill description.

Can I reuse existing assets and scripts to accelerate Claude Skill deployment?▼

Yes, you can accelerate Claude Skill deployment by reusing existing assets and scripts, packaging the skill metadata, and integrating automation hooks to streamline the end-to-end development process.

Does the skill-creator workflow require pyyaml for frontmatter design?▼

Yes, the skill-creator workflow requires the pyyaml dependency to parse and manage skill metadata, which is essential for designing frontmatter and setting up the evaluation pipeline.

Why does my Claude Skill trigger accuracy fail during the evaluation loop?▼

Trigger accuracy fails when the skill description and instructions lack clarity; you must run evals, view results, and iteratively refine the SKILL.md body to improve trigger performance.

What are the limitations of iterative improvement for Claude Code skills?▼

Iterative improvement is limited by the quality of the evaluation setup; without robust benchmark-ready tools and clear frontmatter design, refining trigger accuracy and instructions may not yield reliable capabilities.

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