Deepgram JS Audio Intelligence
deepgram/deepgram-js-sdk
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…
Implement real-time streaming transcription with Deepgram WebSocket.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-b --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .claude/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .claude/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-bType 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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-b --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .agents/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .agents/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-b --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .cursor/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .cursor/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/deepgram-core-workflow-b--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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-b --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .gemini/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .gemini/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-bInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .github/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .github/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-core-workflow-b --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/deepgram-core-workflow-b .opencode/skills/deepgram-core-workflow-b && 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-core-workflow-b" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-core-workflow-b into .opencode/skills/deepgram-core-workflow-b/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-core-workflow-b", 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.
deepgram-core-workflow-bImplement real-time streaming transcription with Deepgram WebSocket.
Deepgram Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement real-time streaming transcription with Deepgram WebSocket. Use when building live transcription, voice interfaces, real-time captioning, or voice AI applications. Trigger: "deepgram streaming", "real-time transcription", "live transcription", "websocket transcription", "voice streaming", "deepgram live".
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/streaming-implementation.md`). Compatibility notes: Designed for Claude Code
It sits in Media & Creative, covering Transcription, Realtime and WebSockets and Speech recognition and synthesis. It works with Deepgram. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(npm:*)Bash(pip:*)GrepFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
aptbrewFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
developers.deepgram.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
DEEPGRAM_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Deepgram Core Workflow B loads about 2.4k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 288 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.
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.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 288 words, ~2,429 tokens.
.claude/skills/deepgram-core-workflow-b/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Open a development streaming session with a non-sensitive test utterance, verify connection/authentication, partial/final transcript state, timeout, and close behavior. Enforce the session's data/consent policy and log a correlation ID plus state transitions—not audio bytes, API keys, or full participant speech.
Real-time streaming transcription using Deepgram's WebSocket API. The SDK manages the WebSocket connection via listen.live(). Covers microphone capture, interim/final result handling, speaker diarization, UtteranceEnd detection, auto-reconnect, and building an SSE endpoint for browser clients.
@deepgram/sdk installed, DEEPGRAM_API_KEY configuredrec), file stream, or WebSocket audio from browsersox installed (apt install sox / brew install sox)import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
const connection = deepgram.listen.live({
model: 'nova-3',
language: 'en',
smart_format: true,
punctuate: true,
interim_results: true, // Show in-progress results
utterance_end_ms: 1000, // Silence threshold for utterance end
vad_events: true, // Voice activity detection events
encoding: 'linear16', // 16-bit PCM
sample_rate: 16000, // 16 kHz
channels: 1, // Mono
});
// Connection lifecycle events
connection.on(LiveTranscriptionEvents.Open, () => {
console.log('WebSocket connected to Deepgram');
});
connection.on(LiveTranscriptionEvents.Close, () => {
console.log('WebSocket closed');
});
connection.on(LiveTranscriptionEvents.Error, (err) => {
console.error('Deepgram error:', err);
});
// Transcript events
connection.on(LiveTranscriptionEvents.Transcript, (data) => {
const transcript = data.channel.alternatives[0]?.transcript;
if (!transcript) return;
if (data.is_final) {
console.log(`[FINAL] ${transcript}`);
} else {
process.stdout.write(`\r[interim] ${transcript}`);
}
});
// UtteranceEnd — fires when speaker pauses
connection.on(LiveTranscriptionEvents.UtteranceEnd, () => {
console.log('\n--- utterance end ---');
});import { spawn } from 'child_process';
function startMicrophone(connection: any) {
// Sox captures from default mic: 16kHz, 16-bit signed LE, mono
const mic = spawn('rec', [
'-q', // Quiet (no progress)
'-r', '16000', // Sample rate
'-e', 'signed', // Encoding
'-b', '16', // Bit depth
'-c', '1', // Mono
'-t', 'raw', // Raw PCM output
'-', // Output to stdout
]);
mic.stdout.on('data', (chunk: Buffer) => {
if (connection.getReadyState() === 1) { // WebSocket.OPEN
connection.send(chunk);
}
});
mic.on('error', (err) => {
console.error('Microphone error:', err.message);
console.log('Install sox: apt install sox / brew install sox');
});
return mic;
}
// Usage
const mic = startMicrophone(connection);
// Graceful shutdown
process.on('SIGINT', () => {
mic.kill();
connection.finish(); // Sends CloseStream message, waits for final results
setTimeout(() => process.exit(0), 2000);
});const connection = deepgram.listen.live({
model: 'nova-3',
smart_format: true,
diarize: true,
interim_results: false, // Only final for cleaner diarization
utterance_end_ms: 1500,
encoding: 'linear16',
sample_rate: 16000,
channels: 1,
});
connection.on(LiveTranscriptionEvents.Transcript, (data) => {
if (!data.is_final) return;
const words = data.channel.alternatives[0]?.words ?? [];
if (words.length === 0) return;
// Group consecutive words by speaker
let currentSpeaker = words[0].speaker;
let segment = '';
for (const word of words) {
if (word.speaker !== currentSpeaker) {
console.log(`Speaker ${currentSpeaker}: ${segment.trim()}`);
currentSpeaker = word.speaker;
segment = '';
}
segment += ` ${word.punctuated_word ?? word.word}`;
}
console.log(`Speaker ${currentSpeaker}: ${segment.trim()}`);
});class ReconnectingLiveTranscription {
private client: ReturnType<typeof createClient>;
private connection: any = null;
private reconnectAttempts = 0;
private maxReconnectAttempts = 10;
private baseDelay = 1000;
constructor(apiKey: string, private options: Record<string, any>) {
this.client = createClient(apiKey);
}
connect() {
this.connection = this.client.listen.live(this.options);
this.connection.on(LiveTranscriptionEvents.Open, () => {
console.log('Connected');
this.reconnectAttempts = 0; // Reset on success
});
this.connection.on(LiveTranscriptionEvents.Close, () => {
this.scheduleReconnect();
});
this.connection.on(LiveTranscriptionEvents.Error, (err: Error) => {
console.error('Connection error:', err.message);
this.scheduleReconnect();
});
return this.connection;
}
private scheduleReconnect() {
if (this.reconnectAttempts >= this.maxReconnectAttempts) {
console.error('Max reconnection attempts reached');
return;
}
const delay = this.baseDelay * Math.pow(2, this.reconnectAttempts)
+ Math.random() * 1000; // Jitter
this.reconnectAttempts++;
console.log(`Reconnecting in ${Math.round(delay)}ms (attempt ${this.reconnectAttempts})`);
setTimeout(() => this.connect(), delay);
}
send(chunk: Buffer) {
if (this.connection?.getReadyState() === 1) {
this.connection.send(chunk);
}
}
close() {
this.maxReconnectAttempts = 0; // Prevent reconnect
this.connection?.finish();
}
}import express from 'express';
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';
const app = express();
app.get('/api/transcribe/stream', (req, res) => {
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
const connection = deepgram.listen.live({
model: 'nova-3',
smart_format: true,
interim_results: true,
encoding: 'linear16',
sample_rate: 16000,
channels: 1,
});
connection.on(LiveTranscriptionEvents.Transcript, (data) => {
const transcript = data.channel.alternatives[0]?.transcript;
if (transcript) {
res.write(`data: ${JSON.stringify({
transcript,
is_final: data.is_final,
speech_final: data.speech_final,
})}\n\n`);
}
});
// Client provides audio via a paired WebSocket (see browser setup)
req.on('close', () => {
connection.finish();
});
});// Deepgram closes idle connections after ~10s of no audio.
// Send KeepAlive messages during silence periods.
connection.on(LiveTranscriptionEvents.Open, () => {
const keepAliveInterval = setInterval(() => {
if (connection.getReadyState() === 1) {
connection.keepAlive();
}
}, 8000); // Every 8 seconds
connection.on(LiveTranscriptionEvents.Close, () => {
clearInterval(keepAliveInterval);
});
});| Issue | Cause | Solution |
|---|---|---|
| WebSocket closes immediately | Invalid API key or bad encoding params | Check key, verify encoding/sample_rate match audio |
| No transcripts received | Audio not being sent or wrong format | Verify connection.send(chunk) is called with raw PCM |
| High latency | Network congestion | Use interim_results: true for perceived speed |
rec command not found | Sox not installed | apt install sox or brew install sox |
| Connection drops after 10s | No audio + no KeepAlive | Send connection.keepAlive() every 8s |
| Garbled output | Sample rate mismatch | Ensure audio sample rate matches sample_rate option |
Proceed to deepgram-data-handling for transcript processing and storage patterns.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/.curated/deepgram-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Deepgram Core Workflow B 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 Core Workflow B this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Deepgram JS Audio Intelligencedeepgram/deepgram-js-sdk | 276 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deepgram Python Speech-to-Textdeepgram/deepgram-python-sdk | 469 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Deepgram JS Speech To Textdeepgram/deepgram-js-sdk | 276 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Deepgram Python Text-to-Speechdeepgram/deepgram-python-sdk | 469 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Speech Engineelevenlabs/skills | 482 | — | ~2.5k | Automated safety check: Warn | MIT |
deepgram/deepgram-js-sdk
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/deepgram-python-sdk
Covers basic transcription with the Deepgram Python SDK's listen.v1 endpoint, for one-shot REST transcription of a file or URL and live WebSocket streaming with interim results.
deepgram/deepgram-js-sdk
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/deepgram-python-sdk
Guides Python code that calls Deepgram Text-to-Speech v1, covering one-shot REST, streaming WebSocket and the TextBuilder helper.
elevenlabs/skills
Add real-time voice conversations to a custom agent runtime with ElevenLabs Speech Engine.
decolua/9router
Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Implement real-time streaming transcription with Deepgram WebSocket. Deepgram Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement real-time streaming transcription with Deepgram WebSocket.
Deepgram Core Workflow B fits situations like: building live transcription; voice interfaces; real-time captioning; voice AI applications.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-core-workflow-b in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -a codex`. Or copy the skill folder (skills/.curated/deepgram-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-core-workflow-b in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-core-workflow-b -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-core-workflow-b, .gemini/skills/deepgram-core-workflow-b, .github/skills/deepgram-core-workflow-b and .opencode/skills/deepgram-core-workflow-b in your project.
Going by SKILL.md and its folder, Deepgram Core Workflow B needs the command-line tools its instructions call (apt and brew) and credentials named DEEPGRAM_API_KEY. Our summary lists: A credential in DEEPGRAM_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 2 domains. As links in the text: developers.deepgram.com and github.com. This is read from the text; nothing was executed.
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.
Deepgram Core Workflow B is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 966 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deepgram Core Workflow B: Deepgram JS Audio Intelligence (deepgram/deepgram-js-sdk, 276 stars), Deepgram Python Speech-to-Text (deepgram/deepgram-python-sdk, 469 stars), Deepgram JS Speech To Text (deepgram/deepgram-js-sdk, 276 stars) and Deepgram Python Text-to-Speech (deepgram/deepgram-python-sdk, 469 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.