# llm-experimentations

> llm-experimentations — mborne-llm-experimentations. Use this tool when you need to experiment with large language models (LLMs) like ChatGPT and IGNF APIs for natural language processing tasks, particularly in French. It solves problems related to text analysis, generation, and understanding, providing a git-based interface for inputting code and outputting experimental results. Ideal for developers and researchers looking to test LLM capabilities in French-language applications.

Canonical page: https://skillsregistry.net/skills/mborne-llm-experimentations  
JSON: https://api.skillsregistry.net/v1/skills/mborne-llm-experimentations

## Description

[DOC] Some experimentations with ChatGPT and IGNF APIs (french)

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **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/mborne/llm-experimentations)

## 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": "mborne-llm-experimentations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mborne-llm-experimentations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mborne-llm-experimentations/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