Azure Ai Voicelive 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-voicelive-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
- 5 files, 1,999 lines
About this skill
What it does
This skill leverages the Azure AI Voice Live Python library to enable real-time text-to-speech capabilities within an AI agent. It allows for dynamic generation of spoken responses, transforming written prompts into natural-sounding audio output using various voices and languages supported by Azure AI services. The generated speech can be streamed or saved as a file.
When to use it
- Interactive Tutorials: Create engaging tutorials where the AI agent reads out instructions step-by-step.
- Accessibility Features: Provide an auditory alternative for users who prefer listening to content instead of reading.
- Voice Assistant Integration: Integrate voice output into a broader conversational AI system, allowing it to "speak" responses.
- Automated Announcements: Generate audio announcements from text data, such as news headlines or weather reports.
Key capabilities
- Text-to-speech conversion
- Streaming of generated speech
- Saving generated speech to files
- Support for various voices and languages (as supported by Azure AI)
Example prompts
- "Read this text aloud: 'The quick brown fox jumps over the lazy dog.'"
- "Generate a voice file from this sentence: 'Hello, world!'"
- "Speak the following paragraph in a British accent."
Tips & gotchas
- Requires an active Azure subscription and appropriate credentials to access the AI Voice Live service.
- The quality of the generated speech depends on the selected voice and language; experiment with different options for optimal results.