deepgram-reference-architecture
Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale. "deepgram at scale", "enterprise deepgram", "deepgram queue". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill deepgram-reference-architecture --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Deepgram Reference Architecture ## Overview Four reference architectures for Deepgram transcription at scale: synchronous REST for short files, async queue (BullMQ) for batch processing, WebSocket proxy for real-time streaming, and a hybrid router that auto-selects the best pattern based on audio duration. ## Architecture Selection Guide | Pattern | Best For | Latency | Throughput | Complexity |
What does the deepgram-reference-architecture skill do?
Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale. "deepgram at scale", "enterprise deepgram", "deepgram queue". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill deepgram-reference-architecture --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.
