Mistral AI Automation

Automate Mistral AI operations including file management, fine-tuning job tracking, and RAG pipeline construction.

74.2k|8.5k|Updated Oct 17, 2025
One-click install
npx skills add https://github.com/ComposioHQ/awesome-claude-skills --skill mistral-ai-automation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Mistral AI Automation
Source: https://github.com/ComposioHQ/awesome-claude-skills/tree/main/composio-skills/mistral-ai-automation
Command: npx skills add https://github.com/ComposioHQ/awesome-claude-skills --skill mistral-ai-automation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual overhead of managing Mistral AI resources, allowing users to programmatically handle file uploads, monitor fine-tuning progress, and organize document libraries for RAG-enabled agents.

Core Features & Use Cases

  • Fine-Tuning Management: Upload training data and track the status of fine-tuning jobs directly through your agent.
  • RAG Pipeline Support: Create and populate document libraries to provide context for RAG-enabled Mistral AI agents.
  • File Operations: List, retrieve, and download files used for batch processing or OCR tasks.

Quick Start

Use the Mistral AI Automation skill to upload the file training_data.jsonl for fine-tuning.

Frequently Asked Questions about Mistral AI Automation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I upload files for fine-tuning in Mistral AI?

Use the MISTRAL_AI_UPLOAD_FILE tool with the purpose set to fine-tune. Ensure your file is in .jsonl format and does not exceed the 512 MB size limit.

Can I use this skill to manage RAG document libraries?

Yes, you can create libraries using MISTRAL_AI_CREATE_LIBRARY and add documents to them via MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT to support RAG-enabled agents.

What file formats are supported for fine-tuning?

Only .jsonl files are supported for fine-tuning uploads. Other file formats will be rejected by the Mistral AI API.

How do I track the status of my fine-tuning jobs?

Use the MISTRAL_AI_GET_FINE_TUNING_JOBS tool to list and filter your jobs by status, model, or creation time.

Why do some tools require calling RUBE_GET_TOOL_SCHEMAS?

Several advanced tools require fetching the full input schema dynamically to ensure correct parameter structure for complex operations like library management or job filtering.