# analyze

> analyze — zc4578980-tech-local-gpu-imagegen. Use this tool when you need to evaluate and understand the content of a README file, solving problems related to documentation clarity and accuracy. It takes README content as input and provides an analysis output, helping to identify areas for improvement. Ideal for use when onboarding to a new project or troubleshooting documentation issues.

Canonical page: https://skillsregistry.net/skills/zc4578980-tech-local-gpu-imagegen  
JSON: https://api.skillsregistry.net/v1/skills/zc4578980-tech-local-gpu-imagegen

## Description

Let me evaluate the README content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uxw5vgi5tw)
- **Repository:** <https://github.com/zc4578980-tech/local-gpu-imagegen>

## 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": "zc4578980-tech-local-gpu-imagegen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zc4578980-tech-local-gpu-imagegen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zc4578980-tech-local-gpu-imagegen/pull`

---
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