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💼 ビジネス コミュニティ 🟡 少し慣れが必要 👤 経営者・事業責任者・マーケ

💼 Mistral AI Automation

Mistral AI Automation

Mistral AIの運用を自動化し

⏱ 提案書ドラフト 2日 → 半日

📺 まず動画で見る(YouTube)

▶ 【自動化】AIガチ勢の最新活用術6選がこれ1本で丸分かり!【ClaudeCode・AIエージェント・AI経営・Skills・MCP】 ↗

※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。

📜 元の英語説明(参考)

Automate Mistral AI operations -- manage files and libraries, upload documents for fine-tuning, batch processing, and OCR, track fine-tuning jobs, and build RAG pipelines via the Composio MCP integration.

🇯🇵 日本人クリエイター向け解説

一言でいうと

Mistral AIの運用を自動化し

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
1

💬 こう話しかけるだけ — サンプルプロンプト

  • Mistral AI Automation で、私のビジネスを分析して改善案を3つ提案して
  • Mistral AI Automation を使って、来週の会議用の資料を作って
  • Mistral AI Automation で、現状の課題を整理してアクションプランに落として

これをClaude Code に貼るだけで、このSkillが自動発動します。

📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Mistral AI Automation

Automate your Mistral AI workflows -- upload files for fine-tuning, batch processing, and OCR, manage document libraries for RAG-enabled agents, list and retrieve files, track fine-tuning jobs, and integrate Mistral AI into cross-app data pipelines.

Toolkit docs: composio.dev/toolkits/mistral_ai


Setup

  1. Add the Composio MCP server to your client: https://rube.app/mcp
  2. Connect your Mistral AI account when prompted (API key authentication)
  3. Start using the workflows below

Core Workflows

1. Upload Files to Mistral AI

Use MISTRAL_AI_UPLOAD_FILE to upload files for fine-tuning, batch processing, or OCR.

Tool: MISTRAL_AI_UPLOAD_FILE
Inputs:
  - file: object (required)
    - name: string -- destination filename (e.g., "training_data.jsonl")
    - mimetype: string -- MIME type (e.g., "application/pdf", "application/jsonl")
    - s3key: string -- S3 key of a previously downloaded/stored file
  - purpose: "fine-tune" | "batch" | "ocr" (default "fine-tune")

Limits: Maximum file size is 512 MB. For fine-tuning, only .jsonl files are supported.

2. List and Retrieve Files

Use MISTRAL_AI_LIST_FILES to browse uploaded files with pagination, and MISTRAL_AI_RETRIEVE_FILE to get metadata for a specific file.

Tool: MISTRAL_AI_LIST_FILES
Inputs:
  - limit: integer (optional, min 1)
  - after: string (file ID cursor for next page)
  - order: "asc" | "desc" (default "desc")

Tool: MISTRAL_AI_RETRIEVE_FILE
Inputs:
  - file_id: string (required) -- UUID obtained from List Files

3. Create Document Libraries

Use MISTRAL_AI_CREATE_LIBRARY to group documents into libraries for use with RAG-enabled Mistral AI agents.

Tool: MISTRAL_AI_CREATE_LIBRARY
Inputs:
  - name: string (required) -- e.g., "Project Documents"
  - description: string (optional)

4. Upload Documents to a Library

Use MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT to add documents to a library for RAG retrieval by Mistral AI agents.

Tool: MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT
  - Requires library_id and file details
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema before use

5. List Libraries and Download Files

Use MISTRAL_AI_LIST_LIBRARIES to discover available document libraries, and MISTRAL_AI_DOWNLOAD_FILE to retrieve file content.

Tool: MISTRAL_AI_LIST_LIBRARIES
  - Lists all document libraries with metadata (id, name, document counts)
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

Tool: MISTRAL_AI_DOWNLOAD_FILE
  - Downloads raw binary content of a previously uploaded file
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

6. Track Fine-Tuning Jobs

Use MISTRAL_AI_GET_FINE_TUNING_JOBS to list and filter fine-tuning jobs by model, status, and creation time.

Tool: MISTRAL_AI_GET_FINE_TUNING_JOBS
  - Supports filtering by model, status, creation time, and W&B integration
  - Call RUBE_GET_TOOL_SCHEMAS for full input schema

Known Pitfalls

Pitfall Detail
Fine-tune file format Only .jsonl files are supported for fine-tuning uploads. Other formats will be rejected.
File size limit Maximum upload size is 512 MB per file.
File object structure MISTRAL_AI_UPLOAD_FILE requires an s3key referencing a previously stored file, not raw binary content. Use a download action first to stage files in S3.
Pagination cursors MISTRAL_AI_LIST_FILES uses cursor-based pagination via the after parameter (file ID). Continue fetching until no more results are returned.
Library document processing Uploaded library documents are processed asynchronously. They may not be immediately available for RAG queries after upload.
Schema references Several tools (MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT, MISTRAL_AI_LIST_LIBRARIES, MISTRAL_AI_GET_FINE_TUNING_JOBS, MISTRAL_AI_DOWNLOAD_FILE) require calling RUBE_GET_TOOL_SCHEMAS to load full input schemas before execution.

Quick Reference

Tool Slug Description
MISTRAL_AI_UPLOAD_FILE Upload files for fine-tuning, batch processing, or OCR
MISTRAL_AI_LIST_FILES List uploaded files with pagination
MISTRAL_AI_RETRIEVE_FILE Get metadata for a specific file by ID
MISTRAL_AI_DOWNLOAD_FILE Download content of an uploaded file
MISTRAL_AI_CREATE_LIBRARY Create a document library for RAG
MISTRAL_AI_LIST_LIBRARIES List all document libraries with metadata
MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT Add a document to a library for RAG
MISTRAL_AI_GET_FINE_TUNING_JOBS List and filter fine-tuning jobs

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