Agent skill · marketing growth · membranedev

azure-speech-service

Azure Speech Service integration. Manage data, records, and automate workflows. Use when the user wants to interact with Azure Speech Service data.

Why this skill is useful

Adds specific commands and workflows for managing Azure Speech Service that the AI wouldn't reliably generate on its own.

What it needs

Requires @membranehq/cli installed locally. Requires membrane account access. About 5k tokens when loaded. Last updated 2026-04-28. 253 stars on the source repository.

What this skill does

Azure Speech Service Azure Speech Service provides speech-to-text and text-to-speech capabilities using cloud-based AI. Developers use it to add voice functionality to applications, like transcription, voice commands, and real-time translation. Official docs: https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/ Azure Speech Service Overview Speech Services Custom Speech Models Create Custom Speech Model Delete Custom Speech Model Get Custom Speech Model List Custom Speech Models Endpoint Deployments Create Endpoint Deployment Delete Endpoint Deployment Get Endpoint Deployment List Endpoint Deployments Endpoints Create Endpoint Delete Endpoint Get Endpoint List Endpoints Evaluations Create Evaluation Delete Evaluation Get Evaluation List Evaluations Files Create File Delete File Get File List Files Languages List Languages Projects Create Project Delete Project Get Project List Projects Transcriptions Create Transcription Delete Transcription Get Transcription List Transcriptions Webhooks Create Webhook Delete Webhook Get Webhook List Webhooks Use action names and parameters as needed. Working with Azure Speech Service This skill uses the Membrane CLI to interact with Azure Speech Service. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. Install the CLI Install the Membrane CLI so you can run membrane from the terminal: Authentication This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available. Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with: Add --json to any command for machine-readable JSON output. Agent Types : claude, openclaw, codex, warp, windsurf, etc. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills membranedev/azure-speech-service

View the source on GitHub

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