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自动化管理 Mistral AI 文件、微调任务、批处理、OCR 与 RAG 流程。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "Mistral AI Automation" 技能： 1. 下载 https://raw.githubusercontent.com/ComposioHQ/awesome-claude-skills/master/composio-skills/mistral-ai-automation/SKILL.md 2. 保存为 ~/.claude/skills/mistral-ai-automation/SKILL.md 3. 装好后重载技能，告诉我可以用了
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
https://rube.app/mcpUse 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.
Use MISTRAL_AI_LIST_FILES to browse uploaded files with pagination, and to get metadata for a specific file.
MISTRAL_AI_RETRIEVE_FILETool: 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
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)
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
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
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
| 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. |
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