
Deepgram
This is a Membrane-powered integration for Deepgram's speech-to-text API. You get project management, API key handling, and access to transcription endpoints without dealing with auth yourself. The skill covers the usual suspects: transcribe audio from URLs, text-to-speech conversion, text analysis for sentiment and topics, plus billing and usage tracking. It's built on Membrane's CLI, so authentication happens through their flow rather than you storing tokens. If you're building anything that needs to convert audio to text at scale, call center analytics, meeting transcriptions, or media processing, this gives you a cleaner interface than hitting the raw API directly.
- skills.sh installs
- 162
- GitHub stars
- 272
- last updated
- Aug 21, 2026
Install
$ npx -y skills add membranedev/application-skills --skill deepgram --agent claude-codeInstalls into .claude/skills of the current project.
Files
Deepgram
Deepgram is a speech-to-text API that allows developers to convert audio and video into text. It's used by businesses and developers who need accurate and scalable transcription services for applications like call centers, media analysis, and meeting recording.
Official docs: https://developers.deepgram.com/
Deepgram Overview
- Project
- API Key
- Usage
- Billing
- Invites
- Members
Working with Deepgram
This skill uses the Membrane CLI to interact with Deepgram. 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:
npm install -g @membranehq/cli@latest
Authentication
membrane login --tenant --clientName=<agentType>
This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Sponsors
Details
- Repository
- github.com/membranedev/application-skills
- First seen
- Jun 3, 2026
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