How does this skill help with RAG applications?

It provides specific patterns for using the 'prebuilt-documentSearch' analyzer, which extracts content in markdown format optimized for RAG ingestion.

How are long-running video or audio tasks handled?

It utilizes the SDK's asynchronous 'begin_analyze' method and poller objects to manage long-running operations without blocking your application.

Can I extract custom fields from my documents?

Yes, the skill includes patterns for creating custom analyzers with field schemas to extract specific, domain-related data from your files.

What media formats are supported by this skill?

The skill supports a wide range of formats including PDF and Office documents, images, audio files, and video files.

Does this skill support the Python async/await pattern?

Yes, it provides implementation patterns for both synchronous and 'azure.ai.contentunderstanding.aio' asynchronous clients.

Azure AI Content Understanding for Python

Name: Azure AI Content Understanding for Python
Author: microsoft

bymicrosoft

•

1,777

•

Data Science & ML

Extracts semantic content and structured data from documents, images, audio, and video using the Azure AI Content Understanding Python SDK.

This skill empowers Claude to implement and manage Azure AI Content Understanding services within Python environments, facilitating multimodal data extraction for RAG pipelines and automated workflows. It provides domain-specific guidance for utilizing prebuilt analyzers for documents, media, and invoices, as well as defining custom schemas for specialized field extraction. By leveraging asynchronous processing and long-running operations, this skill enables the development of robust applications that can transcribe audio, identify video keyframes, and convert complex documents into clean markdown for AI consumption.

Key Features

01Asynchronous client support for high-throughput and long-running operations

02Optimized markdown generation specifically designed for RAG applications

03Support for custom analyzer schemas to extract domain-specific fields

04Multimodal semantic extraction from documents, images, audio, and video

05Automated audio transcription with timing and video keyframe analysis

061,777 GitHub stars

Use Cases

01Creating specialized document processing workflows for invoices and forms

02Building RAG pipelines that ingest PDFs and Office documents into vector databases

03Automating metadata extraction and transcription for large-scale media libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/skills azure-ai-contentunderstanding-py

For use in Claude.ai and ChatGPT

Download Skill