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limerickgds
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skill-creator

Design, test, and optimize AI skills from concept to deployment.

1|Updated Mar 12, 2026
Search Tags:#automation#workflow#evaluation#packaging#skill#frontmatter#skill-creator
One-click install
npx skills add https://github.com/limerickgds/dashi-skills --skill skill-creator-limerickgds
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/limerickgds/dashi-skills/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/limerickgds/dashi-skills --skill skill-creator-limerickgds

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The Skill Creator helps teams systematically design, validate, and iterate AI skills from concept to deployment, reducing guesswork and speeding up capability development.

Core Features & Use Cases

  • End-to-end skill creation: from SKILL.md drafting to evaluation prompts and packaging into a distributable skill.
  • Iterative improvement loops: automate the evaluation, trigger testing, and description optimization cycles.
  • Quality checks and packaging: validate YAML frontmatter, dependencies, and generate a deployable .skill bundle.

Quick Start

Describe a skill you want to create, and this tool will draft SKILL.md, set up initial evaluation prompts, and prepare a packaging-ready workflow.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate AI skill creation from concept to deployment?▼

You can automate AI skill creation by drafting SKILL.md, setting up evaluation prompts, running iterative improvements, and packaging a distributable .skill bundle. This coordinates the entire workflow from initial concept to final deployment automatically.

How do I validate YAML frontmatter and dependencies for a custom skill?▼

You can validate YAML frontmatter and dependencies using quality check automation that verifies configuration schema and manages package requirements, ensuring your custom skill generates a workflow-ready artifact without manual inspection errors.

What is the best way to run iterative evaluation and optimization cycles for AI skills?▼

The best way to run iterative evaluation for AI skills is to trigger automated testing and description optimization loops. This systematically refines evaluation prompts and improves skill performance through continuous automated feedback cycles.

Can I package a distributable skill bundle without manual configuration?▼

Yes, you can package a distributable skill bundle automatically. The workflow validates frontmatter, manages dependencies, and outputs a deployable .skill file, transforming your drafted SKILL.md into a workflow-ready artifact without manual configuration.

Do I need pyyaml installed to draft and test AI skills?▼

Yes, pyyaml is required as a dependency to draft and test AI skills. This Python library is essential for validating the YAML frontmatter that structures your skill metadata during the automated creation and packaging workflow.

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