# Frenchie

> Frenchie — lab94-frenchie-skill. Use this tool when you need to enhance coding capabilities with file and multimodal processing, such as extracting data from various file formats or generating images from text prompts. It solves problems related to data extraction, transcription, and image generation, providing a structured workflow for projects from requirement to release. Ideal for use cases involving complex data processing, Frenchie takes in various file formats and outputs extracted data, transcriptions, or generated images.

Canonical page: https://skillsregistry.net/skills/lab94-frenchie-skill  
JSON: https://api.skillsregistry.net/v1/skills/lab94-frenchie-skill

## Description

Frenchie is an MCP server that gives coding agents file and multimodal capabilities such as reading PDFs and images, transcribing audio/video, extracting Office/CSV files to Markdown, and generating images from text prompts. It also includes a structured workflow from requirement to release called Frenchie Method.

## Trust

- **Trust score (0–1):** 0.42
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eqokd94ufj)
- **Repository:** <https://github.com/Lab94/frenchie-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": "lab94-frenchie-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lab94-frenchie-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lab94-frenchie-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