skill-creator

Create and refine Claude Skills with SKILL.md and trigger-eval loops.

Updated Jan 17, 2026
One-click install
npx skills add https://github.com/lDuang/mcp-skill-registry --skill skill-creator-lduang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/lDuang/mcp-skill-registry/tree/main/skill/skill-creator
Command: npx skills add https://github.com/lDuang/mcp-skill-registry --skill skill-creator-lduang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml.

What problem does it solve?

Provides a structured, repeatable workflow for creating new Claude Skills, iterating on their SKILL.md frontmatter and body, running trigger-eval loops, and benchmarking results to drive improvements. It coordinates drafting, evaluation, feedback collection, and packaging into distributable skill artifacts, helping teams scale skill creation with quality guardrails.

Core Features & Use Cases

  • Automated SKILL.md generation and updates across iterations
  • End-to-end evaluation: run_eval, improve_description, and benchmarking
  • Live feedback integration, reporting, and artifact packaging (skill.*.skill)
  • Supports holdout/test splits, parallel evaluation, and regression checks
  • Packaging and validation utilities for distribution and deployment

Quick Start

Start the iteration loop with your eval set and skill directory to begin optimizing the skill trigger description.

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 Claude skills with automated trigger evaluation?

To create and iterate on Claude skills, draft SKILL.md files with YAML frontmatter, run trigger-eval loops, collect benchmark results, and refine descriptions. The Skill Creator orchestrates this end-to-end lifecycle for rapid, repeatable improvements across multiple iterations.

What is a trigger-eval loop and how does it improve skill triggering accuracy?

A trigger-eval loop is an evaluation workflow that tests skill descriptions against benchmark datasets, collects performance results, and iterates on SKILL.md content. This mechanism drives repeatable improvements in triggering accuracy and overall skill quality.

Do I need YAML frontmatter in SKILL.md to run skill benchmarking workflows?

Yes, YAML frontmatter in SKILL.md is required to run skill benchmarking workflows. The Skill Creator depends on this structured metadata to coordinate drafting, evaluation, feedback collection, and packaging into distributable skill artifacts.

Can I package validated Claude skills into distributable artifacts after evaluation?

Yes, you can package validated Claude skills into distributable .skill artifacts after evaluation. The Skill Creator includes packaging and validation utilities that generate deployable skill files once trigger-eval loops and regression checks are complete.

How do I run regression checks and parallel evaluation on skill descriptions?

You can run regression checks and parallel evaluation by configuring holdout and test splits within the evaluation workflow. The Skill Creator supports these validation workflows to ensure skill triggering accuracy does not degrade across iterations.

What is the best way to automate SKILL.md generation and updates across iterations?

The best way to automate SKILL.md generation and updates is to use an orchestrated evaluation loop that drafts, evaluates, and refines file content. The Skill Creator automates this lifecycle, enabling rapid, repeatable improvements with quality guardrails.