How do I create a RAG pipeline using this Claude Skill?

You can use MISTRAL_AI_CREATE_LIBRARY to establish a document group and MISTRAL_AI_UPLOAD_LIBRARY_DOCUMENT to add files, making them accessible to RAG-enabled Mistral agents.

Are document uploads to libraries processed instantly?

No, library documents are processed asynchronously. There may be a short delay between the upload and the document becoming available for RAG queries.

What is the maximum file size I can upload to Mistral AI?

The maximum supported upload size is 512 MB per file for fine-tuning, batch processing, or OCR tasks.

Does this skill require an external MCP server?

Yes, this skill requires the Composio MCP server (rube.app/mcp) to be added to your Claude client to function.

What file types are supported for fine-tuning with this skill?

For fine-tuning purposes, the Mistral AI Automation skill currently only supports .jsonl files. Other formats will be rejected during the upload process.

Mistral AI Automation

Name: Mistral AI Automation
Author: ComposioHQ

byComposioHQ

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47,561

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数据科学与机器学习

Automates Mistral AI workflows by managing document libraries for RAG, tracking fine-tuning jobs, and processing files for OCR and batch operations.

This skill integrates Mistral AI’s advanced backend capabilities directly into Claude, enabling developers to automate complex model orchestration tasks without leaving their development environment. It facilitates the full lifecycle of custom AI workflows, from uploading .jsonl training data and monitoring fine-tuning progress to building searchable RAG (Retrieval-Augmented Generation) document libraries. By leveraging the Composio MCP integration, users can seamlessly bridge their existing data pipelines with Mistral’s high-performance models for efficient batch processing and automated document extraction.

主要功能

01Automated fine-tuning job management and status tracking

0247,561 GitHub stars

03Paginated file retrieval and metadata management

04RAG-enabled document library creation and synchronization

05Direct integration with Composio MCP for cross-app data pipelines

06Scalable file uploads for batch processing and OCR tasks

使用场景

01Managing large-scale model fine-tuning jobs and monitoring progress via CLI

02Automating document digitization and data extraction workflows through Mistral OCR

03Building automated RAG pipelines using Mistral AI document libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add composiohq/awesome-claude-skills mistral-ai-automation

For use in Claude.ai and ChatGPT

Download Skill