Agent skill

Deepgram JS Speech To Text

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription.

MITAuto-check passedMedia & Creative

Install Deepgram JS Speech To Text

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ 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-speech-to-text .claude/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .claude/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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

$skill-installer install https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text

Type 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.

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-speech-to-text .agents/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .agents/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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.

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-speech-to-text .cursor/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .cursor/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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

$ gemini skills install https://github.com/deepgram/deepgram-js-sdk.git --path .agents/skills/deepgram-js-speech-to-text

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-speech-to-text .gemini/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .gemini/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text

Installs 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).

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ 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-speech-to-text .github/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .github/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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.

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-speech-to-text --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ 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-speech-to-text .opencode/skills/deepgram-js-speech-to-text && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "deepgram-js-speech-to-text" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-speech-to-text into .opencode/skills/deepgram-js-speech-to-text/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-speech-to-text", 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-speech-to-text
GitHub stars: 276
Token cost: ~1.8k tokens
SKILL.md length: 459 words
Files: 1
Skills in repo: 7
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription.

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 Speech-to-Text v1 (/v1/listen) for prerecorded
SKILL.md covers When to use this product, Authentication, Quick start — REST… and Quick start — REST…, plus 6 more sections
Calls npx; reaches dpgr.am; needs DEEPGRAM_API_KEY

What it does

Deepgram JS Speech To Text is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription. Covers client.listen.v1.media.transcribeUrl / transcribeFile (REST) plus client.listen.v1.createConnection() / connect() (WebSocket). Use deepgram-js-audio-intelligence for summarize/sentiment/topics/diarize overlays, deepgram-js-conversational-stt for Flux turn-taking on /v2/listen, and deepgram-js-voice-agent for full-duplex assistants. Triggers include…

Its SKILL.md is about 1.8k 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 and Speech recognition and synthesis. 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 Speech-to-Text v1 (/v1/listen) for prerecorded
Live audio transcription
Include transcribe
Live transcription

Example prompts

“transcribe”
“speech to text”
“listen.v1”
“/deepgram-js-speech-to-text”

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 for REST; WSS 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 108a127. 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 Speech To Text loads about 1.8k tokens when it runs. Until then it costs about 170 tokens; SKILL.md has 459 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~170
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

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 108a127, republished under its MIT licence (© deepgram). 459 words, ~1,804 tokens.

Download SKILL.mdSave it as .claude/skills/deepgram-js-speech-to-text/SKILL.md (or your agent's skills folder).

name: deepgram-js-speech-to-text
description: Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (`/v1/listen`) for prerecorded or live audio transcription. Covers `client.listen.v1.media.transcribeUrl` / `transcribeFile` (REST) plus `client.listen.v1.createConnection()` / `connect()` (WebSocket). Use `deepgram-js-audio-intelligence` for summarize/sentiment/topics/diarize overlays, `deepgram-js-conversational-stt` for Flux turn-taking on `/v2/listen`, and `deepgram-js-voice-agent` for full-duplex assistants. Triggers include "transcribe", "speech to text", "STT", "listen.v1", "nova-3", "live transcription", and "websocket transcription".

Using Deepgram Speech-to-Text (JavaScript / TypeScript SDK)

Basic transcription for prerecorded audio (REST) or live audio (WebSocket) via /v1/listen.

When to use this product

REST (client.listen.v1.media.transcribeUrl / transcribeFile) — one-shot transcription of a finished URL or file. Good for batch jobs, caption generation, offline processing.
WebSocket (client.listen.v1.createConnection() / connect()) — continuous streaming transcription. Good for live captions, microphone audio, telephony streams, browser or Node realtime apps.

Use a different skill when:

You also want summaries, topics, intents, sentiment, language detection, or redaction guidance on the same /v1/listen call → deepgram-js-audio-intelligence.
You need Flux turn-taking and end-of-turn events on /v2/listen → deepgram-js-conversational-stt.
You need a full interactive assistant with STT + LLM + TTS over one socket → deepgram-js-voice-agent.

Authentication

require("dotenv").config();

const { DeepgramClient } = require("@deepgram/sdk");

const deepgramClient = new DeepgramClient({
  apiKey: process.env.DEEPGRAM_API_KEY,
});

Use the exported DeepgramClient from src/CustomClient.ts, not DefaultDeepgramClient. The wrapper adds the required Token auth prefix, session headers, and patched WebSocket behavior.

Quick start — REST (prerecorded URL)

From examples/04-transcription-prerecorded-url.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,
});

console.log(
  "Transcription:",
  data.results?.channels?.[0]?.alternatives?.[0]?.transcript,
);

Quick start — REST (prerecorded file)

From examples/05-transcription-prerecorded-file.ts:

const { createReadStream } = require("fs");

const data = await deepgramClient.listen.v1.media.transcribeFile(
  createReadStream("./examples/spacewalk.wav"),
  {
    model: "nova-3",
    language: "en",
    punctuate: true,
    paragraphs: true,
    utterances: true,
    smart_format: true,
  }
);

transcribeFile(...) accepts multiple upload shapes in this SDK: fs.ReadStream, Buffer, ReadableStream, Blob, File, ArrayBuffer, and Uint8Array (see examples/23-file-upload-types.ts).

Quick start — WebSocket (live streaming)

From examples/07-transcription-live-websocket.ts:

const deepgramConnection = await deepgramClient.listen.v1.createConnection({
  model: "nova-3",
  language: "en",
  punctuate: "true",
  interim_results: "true",
});

deepgramConnection.on("message", (data) => {
  if (data.type === "Results") {
    console.log("Transcript:", data);
  }
});

deepgramConnection.connect();
await deepgramConnection.waitForOpen();

// Swap this for a mic capture (e.g. `node-microphone` / `MediaRecorder`)
// in real apps; the repo examples use `createReadStream` over a sample WAV.
const { createReadStream } = require("node:fs");
const audioStream = createReadStream("samples/spacewalk.wav");

audioStream.on("data", (chunk) => {
  deepgramConnection.sendMedia(chunk);
});

audioStream.on("end", () => {
  deepgramConnection.sendFinalize({ type: "Finalize" });
});

The repo examples use the two-step socket flow: createConnection() → register handlers → connect() → waitForOpen().

Key parameters / API surface

REST: model, language, punctuate, smart_format, paragraphs, utterances, multichannel, numerals, search, keyterm, keywords, encoding, sample_rate, callback, tag.
WSS connect args (src/api/resources/listen/resources/v1/client/Client.ts): model is required; common realtime flags include language, interim_results, endpointing, utterance_end_ms, vad_events, encoding, sample_rate, multichannel, punctuate, smart_format.
WSS client messages (src/api/resources/listen/resources/v1/client/Socket.ts): sendMedia(...), sendFinalize(...), sendCloseStream(...), sendKeepAlive(...).
WSS server events: Results, Metadata, UtteranceEnd, SpeechStarted.

API reference (layered)

In-repo reference: reference.md → Listen V1 Media for REST; WSS behavior lives in src/CustomClient.ts and src/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/reference/speech-to-text/listen-pre-recorded
- https://developers.deepgram.com/reference/speech-to-text/listen-streaming

Show full SKILL.md (181 more words)Show less

Gotchas

Use DeepgramClient, not DefaultDeepgramClient. The custom wrapper adds Token auth, session IDs, browser WS auth protocols, and patched sockets.
Repo examples are two-stage for WSS. createConnection() does not open the socket; call connect() and usually waitForOpen().
Finalize before closing v1 streams. sendFinalize({ type: "Finalize" }) flushes the final partial.
Keep idle streams alive. Use audio or sendKeepAlive({ type: "KeepAlive" }) on long pauses.
Raw audio metadata must match reality. If you send PCM, encoding and sample_rate must match the bytes.
Browser auth differs from Node auth. In browsers, the wrapper moves auth/session info into WebSocket subprotocols because custom headers are unavailable.
Use /v2/listen only for Flux. If you need turn-aware conversational STT, switch skills instead of forcing v1.

Example files in this repo

examples/04-transcription-prerecorded-url.ts
examples/05-transcription-prerecorded-file.ts
examples/06-transcription-prerecorded-callback.ts
examples/07-transcription-live-websocket.ts
examples/08-transcription-captions.ts
examples/23-file-upload-types.ts
examples/27-deepgram-session-header.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:

bash

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).

Files

Just SKILL.md in .agents/skills/deepgram-js-speech-to-text of deepgram/deepgram-js-sdk.

Open the folder on GitHubat commit 108a127

Compare with similar skills

Deepgram JS Speech To Text 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.

Deepgram JS Speech To Text compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Deepgram JS Speech To Text this skilldeepgram/deepgram-js-sdk	276	—	~1.8k	Automated safety check: Pass	MIT	yesterday
Gemini Live API Devgoogle-gemini/gemini-skills	4.3k	—	~4.6k	Automated safety check: Pass	Apache-2.0	4 days ago
9Router Speech-to-Textdecolua/9router	31k	—	~914	Automated safety check: Pass	MIT	2 days ago
Speech Engineelevenlabs/skills	482	—	~2.5k	Automated safety check: Warn	MIT	yesterday
Azure AImicrosoft/GitHub-Copilot-for-Azure	255	1 repos	~852	Automated safety check: Pass	MIT	today
Deepgram Core Workflow Bjeremylongshore/tons-of-skills-marketplace	2.8k	—	~2.4k	Automated safety check: Pass	MIT	today

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Works with

Questions about Deepgram JS Speech To Text

What does Deepgram JS Speech To Text do?

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription. Deepgram JS Speech To Text is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded or live audio transcription.

When should I use Deepgram JS Speech To Text?

Deepgram JS Speech To Text fits situations like: reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (/v1/listen) for prerecorded; live audio transcription; include transcribe; live transcription.

How do I install Deepgram JS Speech To Text in Claude Code?

Run `npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a claude-code`. Or copy the skill folder (.agents/skills/deepgram-js-speech-to-text in deepgram/deepgram-js-sdk) into .claude/skills/deepgram-js-speech-to-text in your project. Claude Code loads it when a task matches its description.

How do I install Deepgram JS Speech To Text in Codex?

Run `npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-speech-to-text -a codex`. Or copy the skill folder (.agents/skills/deepgram-js-speech-to-text in deepgram/deepgram-js-sdk) into .agents/skills/deepgram-js-speech-to-text in your project. Codex loads it when a task matches its description.

Can I use Deepgram JS Speech To Text 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-speech-to-text -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-speech-to-text, .gemini/skills/deepgram-js-speech-to-text, .github/skills/deepgram-js-speech-to-text and .opencode/skills/deepgram-js-speech-to-text in your project.

What does Deepgram JS Speech To Text need to run?

Going by SKILL.md and its folder, Deepgram JS Speech To Text 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 Speech To Text 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 Speech To Text 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 Speech To Text use?

Deepgram JS Speech To Text 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 Speech To Text use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Speech To Text?

Skills that share tags, products or a category with Deepgram JS Speech To Text: Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars), 9Router Speech-to-Text (decolua/9router, 31k stars), Speech Engine (elevenlabs/skills, 482 stars) and Azure AI (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram JS Speech To Text?

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 9, 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.

Install Deepgram JS Speech To Text

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Using Deepgram Speech-to-Text (JavaScript / TypeScript SDK)

When to use this product

Authentication

Quick start — REST (prerecorded URL)

Quick start — REST (prerecorded file)

Quick start — WebSocket (live streaming)

Key parameters / API surface

API reference (layered)

Gotchas

Example files in this repo

Central product skills

Files

Compare with similar skills

Similar skills

More from deepgram/deepgram-js-sdk

Related

Questions about Deepgram JS Speech To Text