azure-ai-language-conversations-py
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.
Profile →npx skills add sickn33/agentic-awesome-skills --skill azure-ai-language-conversations-py --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to Use
- System Prompt
- Authentication & Lifecycle
- Legacy: API Key (existing keyed deployments)
- Best Practices
- Examples
- Basic Conversation Analysis
- Limitations
What does the azure-ai-language-conversations-py skill do?
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.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill azure-ai-language-conversations-py --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.