skill-creator

Automate Claude Skill creation, testing, and optimization with eval results.

415|49|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/Darwin-Agent/HarnessX --skill skill-creator-darwin-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Darwin-Agent/HarnessX/tree/main/extensions/skills/skill-creator
Command: npx skills add https://github.com/Darwin-Agent/HarnessX --skill skill-creator-darwin-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, and includes scripts (resource) components.

What problem does it solve?

The Skill Creator helps teams design, evaluate, and optimize Claude Skills through a repeatable loop of drafting, testing, and refining until performance improves.

Core Features & Use Cases

  • Iterative Skill Development: Generate draft SKILL.md content, run evals, and capture results to drive improvements.
  • Benchmark-Driven Improvement: Compare with baseline configurations, generate summaries, and identify actionable changes.
  • Workflow Orchestration: Coordinate prompts, evaluation prompts, and history tracking to streamline skill creation across domains.

Quick Start

Initiate a new skill draft, run the evaluation loop, and iterate with automated improvements until thresholds are met.

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?

Automating Claude skill creation involves generating draft SKILL.md content, running evaluations, and capturing results to drive iterative improvements until performance thresholds are met.

What is the best way to benchmark and optimize custom AI skills?

Benchmarking custom AI skills requires comparing configurations against baselines, generating evaluation summaries, and identifying actionable changes through structured history tracking to optimize performance.

Can I use YAML frontmatter to manage skill bundles and scripts?

Yes, centralized SKILL.md YAML frontmatter supports mandatory name and description fields alongside optional bundles like scripts, references, and assets to structure skill configurations.

How does iterative skill evaluation improve workflow automation?

Iterative skill evaluation improves workflow automation by orchestrating prompts, tracking history, and using benchmark results to refine skills until desired performance levels are achieved.

Do I need specific dependencies to build and evaluate skills?

Building and evaluating skills requires YAML dependency support to manage centralized frontmatter configurations and structure optional bundles for scripts and references.