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Nima-MM
Nima-MMCOMMUNITY
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skill-creator

Draft and evaluate AI skills with YAML frontmatter and SKILL.md structure.

Updated Aug 27, 2026
Search Tags:#evaluation#iteration#creation#benchmark#skill#prompt-engineering#AI-workflow
One-click install
npx skills add https://github.com/Nima-MM/agentic-consultant --skill skill-creator-nima-mm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Nima-MM/agentic-consultant/tree/main/.agents/skills/shared/skill-creator
Command: npx skills add https://github.com/Nima-MM/agentic-consultant --skill skill-creator-nima-mm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Skill authors need a repeatable, testable process to create, evaluate, and improve AI skills. This description helps teams accelerate crafting robust SKILL.md files, scripts, and references while maintaining clarity and safety.

Core Features & Use Cases

  • End-to-end skill creation workflow (draft, test prompts, evaluate, iterate)
  • Built-in guidance for testing, evals, benchmarking, and triggering optimization
  • Support for modular resources (scripts, references, assets) to extend capabilities
  • Scales from simple to advanced skills with structured loading and progressive disclosure

Quick Start

Draft a new skill, run an initial eval, and begin an iteration loop to refine the description and triggering behavior.

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 AI skills using a structured prompt-engineering workflow?▼

To create and evaluate AI skills, you draft modular units with YAML frontmatter and a SKILL.md body, then apply iterative evaluation and benchmarking to ensure robust activation across contexts.

What is the best way to structure AI skills for maintainability and progressive disclosure?▼

The best way to structure AI skills is organizing content in a maintainable repository, leveraging optional scripts, references, and assets to extend capabilities while scaling from simple to advanced configurations.

Can I use Anthropic and Google Generative AI models to benchmark skill triggering behavior?▼

Yes, you can use Anthropic and Google Generative AI dependencies to run evaluations and benchmark skill triggering behavior, optimizing performance across various contexts.

How do I run an iteration loop to refine AI workflow descriptions and triggering optimization?▼

You run an iteration loop by drafting a new skill, executing an initial evaluation, and continuously refining the SKILL.md description and triggering behavior based on benchmarking results.

Do I need YAML configuration to build modular AI skills with scripts and references?▼

Yes, you need YAML frontmatter to define modular AI skills, alongside a detailed SKILL.md body, to properly integrate optional scripts, references, and assets into your workflow.

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