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arsen-ask-lx
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skill-creator

Automate drafting, evaluating, and iterating Claude Skills via SKILL.md.

Updated Aug 27, 2026
Search Tags:#automation#workflow#evaluation#iteration#benchmark#skill#prompt-engineering
One-click install
npx skills add https://github.com/arsen-ask-lx/.claude_file_4all --skill skill-creator-arsen-ask-lx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/arsen-ask-lx/.claude_file_4all/tree/main/skills/skill-creator
Command: npx skills add https://github.com/arsen-ask-lx/.claude_file_4all --skill skill-creator-arsen-ask-lx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Crafting high-quality skills requires a repeatable process, validation, and iteration. The Skill Creator guides users through drafting SKILL.md, running evals, analyzing results, and applying improvements to triggers and performance.

Core Features & Use Cases

  • End-to-end skill creation: from initial concept to a tested, trigger-optimized SKILL.md.
  • Evaluation pipeline: run evals, collect expectations, and compare with baselines.
  • Iterative improvement: use results to refine descriptions, prompts, and tooling hooks.
  • Benchmarking & reporting: generate and review quantitative benchmarks and feedback.

Quick Start

Draft a new SKILL.md for a simple task, then run an initial eval to observe trigger behavior and iterate.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate Claude skill creation and testing?▼

You can automate Claude skill creation and testing by drafting a SKILL.md file, running evaluations, and iterating on trigger accuracy. This process standardizes skill quality and ensures reliable performance across projects.

What is the best way to evaluate and iterate on prompt triggers?▼

The best way to evaluate and iterate on prompt triggers is to run an evaluation pipeline, collect expectations, and analyze results against baselines. This allows you to refine descriptions and prompts for better triggering accuracy.

How do I write a SKILL.md file for a new workflow?▼

To write a SKILL.md file for a new workflow, start by drafting the initial concept and task description. The creation process guides you through structuring the file, running initial evaluations, and observing trigger behavior to iterate.

Does skill benchmarking require any specific dependencies?▼

Skill benchmarking requires the PyYAML dependency for parsing configuration files. This library supports the evaluation pipeline and benchmarking utilities needed to standardize skill quality and generate quantitative feedback reports.

Can I compare my skill evaluation results against a baseline?▼

Yes, you can compare skill evaluation results against a baseline. The evaluation pipeline collects expectations and analyzes results, enabling iterative improvements to descriptions and prompts based on quantitative benchmark comparisons.

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