# genpark-prompt-engineering-taxonomy-evaluator-skill

> genpark-prompt-engineering-taxonomy-evaluator-skill — alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill. Use this tool when you need to systematically evaluate and optimize prompt engineering taxonomies and Chain of Thought (CoT) frameworks, providing a structured approach to guide prompt engineering efforts. It takes in taxonomy definitions and CoT frameworks as inputs and outputs evaluated and optimized versions, helping to improve the effectiveness of AI prompts. Ideal for use cases where standardized and efficient prompt engineering is crucial, such as in large-scale AI model training and deployment.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill

## Description

Systematic prompt engineering taxonomy and CoT evaluator (Prompt Guide style)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-prompt-engineering-taxonomy-evaluator-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-prompt-engineering-taxonomy-evaluator-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt