Agent skill

Deepgram JS Conversational Stt

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (/v2/listen) for turn-aware streaming transcription.

MITAuto-check passedAI & LLM Engineering

Install Deepgram JS Conversational Stt

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-conversational-stt -a claude-code

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

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-conversational-stt --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-conversational-stt .claude/skills/deepgram-js-conversational-stt && 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-conversational-stt" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-conversational-stt into .claude/skills/deepgram-js-conversational-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-conversational-stt", 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-conversational-stt

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-conversational-stt -a codex

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

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-conversational-stt --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-conversational-stt .agents/skills/deepgram-js-conversational-stt && 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-conversational-stt" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-conversational-stt into .agents/skills/deepgram-js-conversational-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-conversational-stt", 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-conversational-stt -a cursor

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

GitHub CLI

$ gh skill install deepgram/deepgram-js-sdk deepgram-js-conversational-stt --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-conversational-stt .cursor/skills/deepgram-js-conversational-stt && 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-conversational-stt" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-conversational-stt into .cursor/skills/deepgram-js-conversational-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-conversational-stt", 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-conversational-stt

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

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-conversational-stt -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-conversational-stt .github/skills/deepgram-js-conversational-stt && 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-conversational-stt" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-conversational-stt into .github/skills/deepgram-js-conversational-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-conversational-stt", 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-conversational-stt -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-conversational-stt --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-conversational-stt .opencode/skills/deepgram-js-conversational-stt && 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-conversational-stt" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-conversational-stt into .opencode/skills/deepgram-js-conversational-stt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-conversational-stt", 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-conversational-stt
GitHub stars: 276
Token cost: ~1.3k tokens
SKILL.md length: 364 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 Conversational STT v2 / Flux (/v2/listen) for turn-aware streaming transcription.

Works in 5 steps: In-repo reference: reference.md does not… → Canonical OpenAPI (REST):… → Canonical AsyncAPI (WSS):… → …
Conversational STT
SKILL.md covers When to use this product, Authentication, Quick start and Key parameters / API surface, plus 5 more sections
Calls npx; needs DEEPGRAM_API_KEY

What it does

Deepgram JS Conversational Stt is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (/v2/listen) for turn-aware streaming transcription. Covers client.listen.v2.createConnection() / connect(), Flux models, and turn events like TurnInfo. Use deepgram-js-speech-to-text for standard v1 ASR and deepgram-js-voice-agent for full-duplex assistants. Triggers include "flux", "v2 listen", "conversational STT", "turn detection", "end of turn", "EOT", and "listen.v2".

Its SKILL.md is about 1.3k 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 AI & LLM Engineering, covering Speech recognition and synthesis and Transcription. 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

Conversational STT
Tasks that involve Speech recognition and synthesis
Tasks that involve Transcription

Example prompts

“v2 listen”
“conversational STT”
“turn detection”
“/deepgram-js-conversational-stt”

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 does not currently document listen.v2; use 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
Links to these hosts (documentation or services it may open):
- 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 Conversational Stt loads about 1.3k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 364 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~133
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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). 364 words, ~1,312 tokens.

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

name: deepgram-js-conversational-stt
description: Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (`/v2/listen`) for turn-aware streaming transcription. Covers `client.listen.v2.createConnection()` / `connect()`, Flux models, and turn events like `TurnInfo`. Use `deepgram-js-speech-to-text` for standard v1 ASR and `deepgram-js-voice-agent` for full-duplex assistants. Triggers include "flux", "v2 listen", "conversational STT", "turn detection", "end of turn", "EOT", and "listen.v2".

Using Deepgram Conversational STT / Flux (JavaScript / TypeScript SDK)

Turn-aware streaming STT via /v2/listen for conversational audio and explicit turn events.

When to use this product

You need turn-aware transcription, not just a word stream.
You want Flux-style events like TurnInfo and Connected.
You are building a conversational interface but do not want the full Voice Agent runtime.

Use a different skill when:

You want general v1 transcription or prerecorded REST → deepgram-js-speech-to-text.
You want a hosted assistant with think + speak built in → deepgram-js-voice-agent.
You want analytics overlays like sentiment and summaries → deepgram-js-audio-intelligence.

Authentication

require("dotenv").config();

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

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

Quick start

From examples/26-transcription-live-websocket-v2.ts:

const deepgramConnection = await deepgramClient.listen.v2.createConnection({
  model: "flux-general-en",
});

deepgramConnection.on("message", (data) => {
  if (data.type === "Connected") {
    console.log("Connected:", data);
  } else if (data.type === "TurnInfo") {
    console.log("Turn Info:", data);
  } else if (data.type === "FatalError") {
    deepgramConnection.close();
  }
});

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

// Swap this for a live mic capture in real apps; the repo example uses
// `createReadStream` over a sample file.
const { createReadStream } = require("node:fs");
const audioStream = createReadStream("samples/spacewalk.wav");

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

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

Key parameters / API surface

Connect args from src/api/resources/listen/resources/v2/client/Client.ts: model, encoding, sample_rate, eager_eot_threshold, eot_threshold, eot_timeout_ms, keyterm, tag, mip_opt_out.
Socket methods from src/api/resources/listen/resources/v2/client/Socket.ts: sendMedia(...), sendCloseStream(...), sendListenV2Configure(...), waitForOpen().
Custom wrapper additions from src/CustomClient.ts: createConnection(...) alias and Node-only ping(...) helper.

Limitations

The current generated ListenV2Model type only exposes "flux-general-en".
Product docs mention broader Flux capabilities, but flux-general-multi / language_hint are not surfaced in this repo's generated types today.

API reference (layered)

In-repo reference: reference.md does not currently document listen.v2; use src/CustomClient.ts and src/api/resources/listen/resources/v2/client/{Client,Socket}.ts as the in-repo source of truth.
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:

Show full SKILL.md (162 more words)Show less

Gotchas

There is no REST path here. This skill is /v2/listen WebSocket only.
Current repo typing only allows flux-general-en. Treat multilingual Flux support as a product capability not yet reflected in this SDK surface.
Close with sendCloseStream, not sendFinalize. Finalize is the v1 pattern.
ping() is Node-only. src/CustomClient.ts throws in browsers because browser WS ping frames are not user-exposed.
createConnection() is lazy. Call connect() after registering handlers.
The example explicitly warns about access/availability. A 400 may mean your account or endpoint is not enabled yet, not that your socket code is wrong.
Omit encoding for containerized audio. Keep it for raw PCM/Opus streams.

Example files in this repo

examples/26-transcription-live-websocket-v2.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-conversational-stt of deepgram/deepgram-js-sdk.

Open the folder on GitHubat commit 108a127

Compare with similar skills

Deepgram JS Conversational Stt 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 Conversational Stt compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Deepgram JS Conversational Stt this skilldeepgram/deepgram-js-sdk	276	—	~1.3k	Automated safety check: Pass	MIT	yesterday
Deepgram Audio Intelligence for Pythondeepgram/deepgram-python-sdk	469	—	~2.3k	Automated safety check: Pass	MIT	yesterday
Transcribe Anythingswyxio/skills	176	—	~8.5k	Automated safety check: Pass	MIT	5 days ago
Gemini Live API Devgoogle-gemini/gemini-skills	4.3k	—	~4.6k	Automated safety check: Pass	Apache-2.0	3 days ago
9Router Speech-to-Textdecolua/9router	31k	—	~914	Automated safety check: Pass	MIT	2 days ago
Deepgram Flux Conversational STTdeepgram/deepgram-python-sdk	469	—	~1.8k	Automated safety check: Pass	MIT	yesterday

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Works with

Questions about Deepgram JS Conversational Stt

What does Deepgram JS Conversational Stt do?

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (/v2/listen) for turn-aware streaming transcription. Deepgram JS Conversational Stt is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Conversational STT v2 / Flux (/v2/listen) for turn-aware streaming transcription.

When should I use Deepgram JS Conversational Stt?

Deepgram JS Conversational Stt fits situations like: conversational STT; tasks that involve Speech recognition and synthesis; tasks that involve Transcription.

How do I install Deepgram JS Conversational Stt in Claude Code?

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

How do I install Deepgram JS Conversational Stt in Codex?

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

Can I use Deepgram JS Conversational Stt 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-conversational-stt -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-conversational-stt, .gemini/skills/deepgram-js-conversational-stt, .github/skills/deepgram-js-conversational-stt and .opencode/skills/deepgram-js-conversational-stt in your project.

What does Deepgram JS Conversational Stt need to run?

Going by SKILL.md and its folder, Deepgram JS Conversational Stt 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 Conversational Stt access the network?

SKILL.md names 1 domain. As links in the text: developers.deepgram.com. This is read from the text; nothing was executed.

Is Deepgram JS Conversational Stt 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 Conversational Stt use?

Deepgram JS Conversational Stt 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 Conversational Stt use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Conversational Stt?

Skills that share tags, products or a category with Deepgram JS Conversational Stt: Deepgram Audio Intelligence for Python (deepgram/deepgram-python-sdk, 469 stars), Transcribe Anything (swyxio/skills, 176 stars), Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars) and 9Router Speech-to-Text (decolua/9router, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram JS Conversational Stt?

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 Conversational Stt

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 Conversational STT / Flux (JavaScript / TypeScript SDK)

When to use this product

Authentication

Quick start

Key parameters / API surface

Limitations

API reference (layered)

Gotchas

Example files in this repo

Central product skills

Files

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Similar skills

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