Agent skill · DevOps & Cloud

azure-ai-textanalytics-py

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-ai-textanalytics-py-sickn33-antigravity-awesome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/ai-llm/azure-ai-textanalytics-py-sickn33-antigravity-awesome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Azure AI Text Analytics SDK for Python Client library for Azure AI Language service NLP capabilities including sentiment, entities, key phrases, and more. ## Installation ```bash pip install azure-ai-textanalytics ``` ## Environment Variables ```bash AZURE_LANGUAGE_ENDPOINT=https://<resource>.cognitiveservices.azure.com AZURE_LANGUAGE_KEY=<your-api-key> # If using API key ``` ## Authentication ### API Key ```python import os from azure.core.credentials import AzureKeyCredential from azure.ai.textanalytics import TextAnalyticsClient endpoint = os.environ["AZURE_LANGUAGE_ENDPOINT"] key = os.environ["AZURE_LANGUAGE_KEY"] client = TextAnalyticsClient(endpoint, AzureKeyCredential(key)) ``` ### Entra ID (Recommended) ```python from azure.ai.textanalytics import TextAnalyticsClient from azure.identity import DefaultAzureCredential client = TextAnalyticsClient( endpoint=os.environ["AZURE_LANGUAGE_ENDPOINT"], credential=DefaultAzureCredential() ) ``` ## Sentiment Analysis ```python documents = [ "I had a wonderful trip to Seattle last week!", "The food was terrible and the service was slow." ] result = client.analyze_sentiment(documents, show_opinion_mining=True) for doc in result: if not

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. API Key
  5. Entra ID (Recommended)
  6. Sentiment Analysis
  7. Entity Recognition
  8. PII Detection
  9. Key Phrase Extraction
  10. Language Detection
  11. Healthcare Text Analytics
  12. Multiple Analysis (Batch)
  13. Async Client
  14. Client Types
Ships with 1 file
  • metadata.json
Commands it runs
pip install azure-ai-textanalytics
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About this skill
What does the azure-ai-textanalytics-py skill do?

Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-textanalytics-py-sickn33-antigravity-awesome --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 majiayu000/claude-skill-registry, a repository with 534 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.

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