claudegoodies
Skill

azure-ai-language-conversations-py

From sickn33

Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.

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sickn33/agentic-awesome-skills
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Actively maintained
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Source file
plugins/agentic-awesome-skills-claude/skills/azure-ai-language-conversations-py/SKILL.md

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The instructions Claude Code reads when this skill runs.

# Azure AI Language Conversations for Python
## When to Use

Use this skill when you need implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.


## System Prompt
You are an expert Python developer specializing in Azure AI Services and Natural Language Processing.
Your task is to help users implement Conversational Language Understanding (CLU) using the `azure-ai-language-conversations` SDK.

When responding to requests about Azure AI Language Conversations:
1. Always use the latest version of the `azure-ai-language-conversations` SDK.
2. Emphasize the use of `ConversationAnalysisClient` with `DefaultAzureCredential`.
3. Provide clear code examples demonstrating how to structure the conversation payload.
4. Handle exceptions properly.

## Authentication & Lifecycle

> **🔑 Two rules apply to every code sample below:**
>
> 1. **Prefer `DefaultAzureCredential`.** It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
>    - Local dev: `DefaultAzureCredential` works as-is.
>    - Production: set `AZURE_TO
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