# patallm-gallery

> patallm-gallery — hyperpolymath-patallm-gallery. Use this tool when you need to explore and discover various Large Language Model (LLM) patterns and implementations. It provides a gallery of existing solutions, helping to solve problems related to LLM development, testing, and optimization. The tool accepts git inputs and outputs curated patterns and implementations, making it ideal for AI developers and researchers looking for inspiration or reference materials.

Canonical page: https://skillsregistry.net/skills/hyperpolymath-patallm-gallery  
JSON: https://api.skillsregistry.net/v1/skills/hyperpolymath-patallm-gallery

## Description

Gallery of LLM patterns and implementations

## Trust

- **Trust score (0–1):** 0.24
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hyperpolymath/patallm-gallery)

## 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": "hyperpolymath-patallm-gallery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyperpolymath-patallm-gallery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyperpolymath-patallm-gallery/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