Gemini Live API Dev
google-gemini/gemini-skills
A skill your agent uses when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live.
A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize…
Install Deepgram JS Audio Intelligence
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .claude/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .claude/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .agents/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .agents/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .cursor/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .cursor/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/deepgram/deepgram-js-sdk.git --path .agents/skills/deepgram-js-audio-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .gemini/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .gemini/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .github/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .github/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install deepgram/deepgram-js-sdk deepgram-js-audio-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepgram/deepgram-js-sdk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/deepgram-js-audio-intelligence .opencode/skills/deepgram-js-audio-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deepgram-js-audio-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-audio-intelligence into .opencode/skills/deepgram-js-audio-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-audio-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deepgram-js-audio-intelligence- GitHub stars
- 276
- Token cost
- ~1.5k tokens
- SKILL.md length
- 422 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize…
- Works in 5 steps: In-repo reference: reference.md → Listen… → Canonical OpenAPI (REST):… → Canonical AsyncAPI (WSS):… → …
- Reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize
- SKILL.md covers When to use this product, Feature availability: REST vs…, Authentication and Quick start — REST with…, plus 6 more sections
- Calls npx; reaches dpgr.am; needs DEEPGRAM_API_KEY
What it does
Deepgram JS Audio Intelligence is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize, redact, detectlanguage, and entity detection. Same endpoint as plain STT, different params. Covers REST via client.listen.v1.media.transcribeUrl / transcribeFile and the WebSocket-supported subset on client.listen.v1.createConnection() / connect(). Use deepgram-js-speech-to-text for plain transcription and deepgram-js-text-intelligence for…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Transcription, Speech recognition and synthesis and Realtime and WebSockets. It works with Deepgram, JavaScript and TypeScript. The repository describes itself as: Official JavaScript SDK for Deepgram. The licence is MIT.
When your agent uses it
- Reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize
- Entity detection
- Include audio intelligence
- Summarize audio
Example prompts
- “audio intelligence”
- “summarize audio”
- “diarize”
- “/deepgram-js-audio-intelligence”
Requirements
- Node.js
- A credential in DEEPGRAM_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- In-repo reference: reference.md → Listen V1 Media; WSS subset behavior lives in src/CustomClient.ts and…
- Canonical OpenAPI (REST): https://developers.deepgram.com/openapi.yaml
- Canonical AsyncAPI (WSS): https://developers.deepgram.com/asyncapi.yaml
- Context7: library ID /llmstxt/developers_deepgram_llms_txt
- Product docs
What it can do on your machine
Read from SKILL.md and the folder at commit 4b3dc3e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
dpgr.am
Also links to:
developers.deepgram.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
DEEPGRAM_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deepgram JS Audio Intelligence loads about 1.5k tokens when it runs. Until then it costs about 184 tokens; SKILL.md has 422 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from deepgram/deepgram-js-sdk at commit 4b3dc3e, republished under its MIT licence (© deepgram). 422 words, ~1,523 tokens.
Download SKILL.mdSave it as
.claude/skills/deepgram-js-audio-intelligence/SKILL.md (or your agent's skills folder).- name
- deepgram-js-audio-intelligence
- description
- Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on `/v1/listen` - summarize, topics, intents, sentiment, diarize, redact, detect_language, and entity detection. Same endpoint as plain STT, different params. Covers REST via `client.listen.v1.media.transcribeUrl` / `transcribeFile` and the WebSocket-supported subset on `client.listen.v1.createConnection()` / `connect()`. Use `deepgram-js-speech-to-text` for plain transcription and `deepgram-js-text-intelligence` for analytics on already-transcribed text. Triggers include "audio intelligence", "summarize audio", "diarize", "sentiment from audio", "redact PII", and "detect language audio".
Using Deepgram Audio Intelligence (JavaScript / TypeScript SDK)
Analytics overlays applied to /v1/listen: summaries, topics, intents, sentiment, language detection, diarization, redaction, entities. Same client surface as STT; turn features on with parameters.
When to use this product
- You have audio and want analytics returned alongside the transcript.
- REST is the primary path; the WebSocket path supports only a subset of intelligence features.
Use a different skill when:
- You just want transcript output →
deepgram-js-speech-to-text. - You already have text and want analytics on that text →
deepgram-js-text-intelligence. - You need Flux turn-taking →
deepgram-js-conversational-stt. - You need a full interactive voice agent →
deepgram-js-voice-agent.
Feature availability: REST vs WSS
| Feature | REST | WSS |
|---|---|---|
diarize | yes | yes |
redact | yes | yes |
detect_entities | yes | yes |
punctuate, smart_format | yes | yes |
summarize | yes | no in current WSS connect args |
topics | yes | no |
intents | yes | no |
sentiment | yes | no |
detect_language | yes | no |
Authentication
require("dotenv").config();
const { DeepgramClient } = require("@deepgram/sdk");
const deepgramClient = new DeepgramClient({
apiKey: process.env.DEEPGRAM_API_KEY,
});Quick start — REST with analytics
From examples/22-transcription-advanced-options.ts:
const data = await deepgramClient.listen.v1.media.transcribeUrl({
url: "https://dpgr.am/spacewalk.wav",
model: "nova-3",
language: "en",
punctuate: true,
paragraphs: true,
utterances: true,
smart_format: true,
sentiment: true,
topics: true,
custom_topic: "custom_topic",
custom_topic_mode: "extended",
intents: true,
custom_intent: "custom_intent",
custom_intent_mode: "extended",
detect_entities: true,
detect_language: true,
diarize: true,
keyterm: ["keyword1", "keyword2"],
redact: ["pci", "ssn"],
});Quick start — WSS subset
Start from examples/07-transcription-live-websocket.ts and keep the same socket flow, but only use WSS-supported intelligence flags such as diarize, redact, and detect_entities in the connection args.
const deepgramConnection = await deepgramClient.listen.v1.createConnection({
model: "nova-3",
diarize: true,
redact: "pci",
detect_entities: true,
});Key parameters / API surface
- Analytics flags:
summarize,topics,intents,sentiment,detect_language,detect_entities,diarize,redact,custom_topic,custom_topic_mode,custom_intent,custom_intent_mode. - Standard STT flags still apply:
model,language,encoding,sample_rate,punctuate,smart_format,utterances,paragraphs,multichannel. - Nova-3-specific biasing in repo examples uses
keyterm, notkeywords.
API reference (layered)
- In-repo reference:
reference.md→Listen V1 Media; WSS subset behavior lives insrc/CustomClient.tsandsrc/api/resources/listen/resources/v1/client/{Client,Socket}.ts. - Canonical OpenAPI (REST): https://developers.deepgram.com/openapi.yaml
- Canonical AsyncAPI (WSS): https://developers.deepgram.com/asyncapi.yaml
- Context7: library ID
/llmstxt/developers_deepgram_llms_txt - Product docs:
- https://developers.deepgram.com/docs/stt-intelligence-feature-overview
- https://developers.deepgram.com/docs/summarization
- https://developers.deepgram.com/docs/topic-detection
- https://developers.deepgram.com/docs/intent-recognition
- https://developers.deepgram.com/docs/sentiment-analysis
- https://developers.deepgram.com/docs/language-detection
- https://developers.deepgram.com/docs/redaction
- https://developers.deepgram.com/docs/diarization
Show full SKILL.md (163 more words)Show less
Gotchas
summarizeon/v1/listenis versioned, not plain boolean. The generated REST surface and examples point at"v2".- Most intelligence flags are REST-only. Current WSS connect args do not expose
topics,intents,sentiment,summarize, ordetect_language. redacttyping is looser in practice than in the generated alias. Examples pass arrays like["pci", "ssn"], even thoughListenV1Redactitself is just a string alias.- Use
keytermfor Nova-3 biasing.examples/22-transcription-advanced-options.tsexplicitly notes keywords are not supported for Nova-3. - Model/feature support is product-side.
nova-3is the safest choice when mixing many overlays. - Diarization quality depends on audio quality and duration. Short or noisy clips churn speakers.
Example files in this repo
examples/22-transcription-advanced-options.tsexamples/04-transcription-prerecorded-url.tsexamples/05-transcription-prerecorded-file.tsexamples/07-transcription-live-websocket.ts
Central product skills
For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:
npx skills add deepgram/skillsThis SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).
© deepgram, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/deepgram-js-audio-intelligence of deepgram/deepgram-js-sdk.
Open the folder on GitHubat commit 4b3dc3e
Compare with similar skills
Deepgram JS Audio Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deepgram JS Audio Intelligence this skilldeepgram/deepgram-js-sdk | 276 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Gemini Live API Devgoogle-gemini/gemini-skills | 4.3k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Speech Engineelevenlabs/skills | 479 | — | ~2.5k | Automated safety check: Warn | MIT | |
| Deepgram Python Speech-to-Textdeepgram/deepgram-python-sdk | 469 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Azure AI Voicelive TSmicrosoft/skills | 3.1k | 6 repos | ~3.4k | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 30k | — | ~745 | Automated safety check: Pass | MIT |
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Azure AI Voice Live SDK for JavaScript/TypeScript. An agent skill from microsoft/skills.
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Related
Works with
Questions about Deepgram JS Audio Intelligence
What does Deepgram JS Audio Intelligence do?
A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize…. Deepgram JS Audio Intelligence is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize, topics, intents, sentiment, diarize, redact, detectlanguage, and entity detection.
When should I use Deepgram JS Audio Intelligence?
Deepgram JS Audio Intelligence fits situations like: reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on /v1/listen - summarize; entity detection; include audio intelligence; summarize audio.
How do I install Deepgram JS Audio Intelligence in Claude Code?
Run `npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a claude-code`. Or copy the skill folder (.agents/skills/deepgram-js-audio-intelligence in deepgram/deepgram-js-sdk) into .claude/skills/deepgram-js-audio-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Deepgram JS Audio Intelligence in Codex?
Run `npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a codex`. Or copy the skill folder (.agents/skills/deepgram-js-audio-intelligence in deepgram/deepgram-js-sdk) into .agents/skills/deepgram-js-audio-intelligence in your project. Codex loads it when a task matches its description.
Can I use Deepgram JS Audio Intelligence in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-audio-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepgram-js-audio-intelligence, .gemini/skills/deepgram-js-audio-intelligence, .github/skills/deepgram-js-audio-intelligence and .opencode/skills/deepgram-js-audio-intelligence in your project.
What does Deepgram JS Audio Intelligence need to run?
Going by SKILL.md and its folder, Deepgram JS Audio Intelligence needs the command-line tools its instructions call (npx) and credentials named DEEPGRAM_API_KEY. Our summary lists: Node.js; A credential in DEEPGRAM_API_KEY.
Does Deepgram JS Audio Intelligence access the network?
SKILL.md names 2 domains. In commands or code: dpgr.am; the agent is likely to contact it when it follows the instructions. As links in the text: developers.deepgram.com. This is read from the text; nothing was executed.
Is Deepgram JS Audio Intelligence safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Deepgram JS Audio Intelligence use?
Deepgram JS Audio Intelligence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deepgram JS Audio Intelligence use?
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Deepgram JS Audio Intelligence?
Skills that share tags, products or a category with Deepgram JS Audio Intelligence: Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars), Speech Engine (elevenlabs/skills, 479 stars), Deepgram Python Speech-to-Text (deepgram/deepgram-python-sdk, 469 stars) and Azure AI Voicelive TS (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deepgram JS Audio Intelligence?
deepgram (a GitHub organization) maintains it in deepgram/deepgram-js-sdk, which has 276 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 2, 2026.
Source: deepgram/deepgram-js-sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.