Azure Ai Textanalytics Py
CheckedHelps with Azure, AI as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add claudedjale/skillset --skill azure-ai-textanalytics-py -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
claudedjale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned claudedjale/skillset at 154f146735.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 154f146735
- Scanned
- 2 files, 761 lines
About this skill
What it does
This skill leverages the Azure AI Text Analytics Python library to extract insights from text. It can perform sentiment analysis, key phrase extraction, and language detection on provided text input. The skill provides a programmatic interface for integrating these capabilities into AI agents and workflows.
When to use it
- Customer Feedback Analysis: Automatically analyze customer reviews or survey responses to gauge overall sentiment and identify common themes.
- Social Media Monitoring: Track brand mentions and assess the public's perception of your product or service by analyzing social media posts.
- Content Categorization: Automatically categorize documents based on their language and key topics for efficient organization and retrieval.
- Automated Summarization: Extract key phrases from long articles to create concise summaries.
Key capabilities
- Sentiment Analysis
- Key Phrase Extraction
- Language Detection
Example prompts
- "Analyze the sentiment of this customer review: 'The product was amazing, but shipping took too long.'"
- "What are the key phrases in this article about climate change?"
- "Detect the language used in this text: 'Bonjour le monde!'"
Tips & gotchas
- Requires an Azure subscription and valid API keys for Text Analytics. Ensure these credentials are properly configured before use.