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…
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Implement Deepgram reference architecture for scalable transcription systems.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-reference-architecture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-reference-architecture --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-reference-architecture .claude/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .claude/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architectureType 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-reference-architecture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-reference-architecture --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-reference-architecture .agents/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .agents/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architecture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-reference-architecture --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-reference-architecture .cursor/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .cursor/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architecture--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-reference-architecture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-reference-architecture --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-reference-architecture .gemini/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .gemini/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architectureInstalls 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-reference-architecture -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-reference-architecture .github/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .github/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architecture -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-reference-architecture --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-reference-architecture .opencode/skills/deepgram-reference-architecture && 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-reference-architecture" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/deepgram-reference-architecture into .opencode/skills/deepgram-reference-architecture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-reference-architecture", 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-reference-architectureImplement Deepgram reference architecture for scalable transcription systems.
Deepgram Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement Deepgram reference architecture for scalable transcription systems. Use when designing transcription pipelines, building production architectures, or planning Deepgram integration at scale. Trigger: "deepgram architecture", "transcription pipeline", "deepgram system design", "deepgram at scale", "enterprise deepgram", "deepgram queue".
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/implementation.md`). Compatibility notes: Designed for Claude Code
It sits in Media & Creative, covering Transcription and Realtime and WebSockets. 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.
5 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:*)From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.bullmq.iodeveloper.mozilla.orgFrom 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 Reference Architecture loads about 2.7k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 267 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). 267 words, ~2,724 tokens.
.claude/skills/deepgram-reference-architecture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Model a development producer that validates media metadata, sends a request using a scoped project key, receives a signed callback, and records only correlation/state metrics. Promote the same versioned contract through staging before a production canary, retaining a dead-letter/recovery owner and excluding audio/transcript content from telemetry.
Four reference architectures for Deepgram transcription at scale: synchronous REST for short files, async queue (BullMQ) for batch processing, WebSocket proxy for real-time streaming, and a hybrid router that auto-selects the best pattern based on audio duration.
| Pattern | Best For | Latency | Throughput | Complexity |
|---|---|---|---|---|
| Sync REST | Files <60s, low volume | Low | Low | Simple |
| Async Queue | Batch, files >60s | Medium | High | Medium |
| WebSocket Proxy | Live audio, real-time | Real-time | Medium | Medium |
| Hybrid Router | Mixed workloads | Varies | High | High |
| Callback | Files >5min, fire-and-forget | N/A | Very High | Low |
import express from 'express';
import { createClient } from '@deepgram/sdk';
const app = express();
app.use(express.json());
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
// Direct API call — best for short files (<60s)
app.post('/api/transcribe', async (req, res) => {
const { url, model = 'nova-3', diarize = false } = req.body;
try {
const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
{ url },
{ model, smart_format: true, diarize, utterances: diarize }
);
if (error) return res.status(502).json({ error: error.message });
res.json({
transcript: result.results.channels[0].alternatives[0].transcript,
confidence: result.results.channels[0].alternatives[0].confidence,
duration: result.metadata.duration,
request_id: result.metadata.request_id,
utterances: diarize ? result.results.utterances : undefined,
});
} catch (err: any) {
res.status(500).json({ error: err.message });
}
});import { Queue, Worker, Job } from 'bullmq';
import { createClient } from '@deepgram/sdk';
import Redis from 'ioredis';
const connection = new Redis(process.env.REDIS_URL ?? 'redis://localhost:6379');
// Producer: submit transcription jobs
const transcriptionQueue = new Queue('transcription', { connection });
async function submitJob(audioUrl: string, options: Record<string, any> = {}) {
const job = await transcriptionQueue.add('transcribe', {
audioUrl,
model: options.model ?? 'nova-3',
diarize: options.diarize ?? false,
submittedAt: new Date().toISOString(),
}, {
attempts: 3,
backoff: { type: 'exponential', delay: 5000 },
removeOnComplete: { age: 86400 }, // Keep for 24h
});
console.log(`Job submitted: ${job.id}`);
return job.id;
}
// Consumer: process transcription jobs
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
const worker = new Worker('transcription', async (job: Job) => {
const { audioUrl, model, diarize } = job.data;
console.log(`Processing job ${job.id}: ${audioUrl}`);
const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
{ url: audioUrl },
{ model, smart_format: true, diarize, utterances: diarize }
);
if (error) throw new Error(`Deepgram error: ${error.message}`);
const output = {
transcript: result.results.channels[0].alternatives[0].transcript,
confidence: result.results.channels[0].alternatives[0].confidence,
duration: result.metadata.duration,
request_id: result.metadata.request_id,
};
// Store result (database, S3, etc.)
console.log(`Job ${job.id} complete: ${output.duration}s audio`);
return output;
}, {
connection,
concurrency: 10, // Process 10 jobs simultaneously
limiter: {
max: 50, // Max 50 per time window
duration: 60000, // Per minute
},
});
worker.on('completed', (job) => console.log(`Completed: ${job.id}`));
worker.on('failed', (job, err) => console.error(`Failed: ${job?.id}`, err.message));import { WebSocketServer, WebSocket } from 'ws';
import { createClient, LiveTranscriptionEvents } from '@deepgram/sdk';
const wss = new WebSocketServer({ port: 8080 });
wss.on('connection', (clientWs: WebSocket) => {
console.log('Client connected');
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);
const dgConnection = deepgram.listen.live({
model: 'nova-3',
smart_format: true,
interim_results: true,
utterance_end_ms: 1000,
encoding: 'linear16',
sample_rate: 16000,
channels: 1,
});
// Forward Deepgram transcripts to client
dgConnection.on(LiveTranscriptionEvents.Transcript, (data) => {
const transcript = data.channel.alternatives[0]?.transcript;
if (transcript && clientWs.readyState === WebSocket.OPEN) {
clientWs.send(JSON.stringify({
type: 'transcript',
text: transcript,
is_final: data.is_final,
speech_final: data.speech_final,
}));
}
});
dgConnection.on(LiveTranscriptionEvents.UtteranceEnd, () => {
if (clientWs.readyState === WebSocket.OPEN) {
clientWs.send(JSON.stringify({ type: 'utterance_end' }));
}
});
// Forward client audio to Deepgram
clientWs.on('message', (data: Buffer) => {
if (dgConnection.getReadyState() === 1) {
dgConnection.send(data);
}
});
// Cleanup on disconnect
clientWs.on('close', () => {
dgConnection.finish();
console.log('Client disconnected');
});
dgConnection.on(LiveTranscriptionEvents.Error, (err) => {
console.error('Deepgram error:', err.message);
clientWs.close();
});
});
console.log('WebSocket proxy on ws://localhost:8080');import { createClient } from '@deepgram/sdk';
class TranscriptionRouter {
private client: ReturnType<typeof createClient>;
private queue: typeof transcriptionQueue;
constructor(apiKey: string, queue: any) {
this.client = createClient(apiKey);
this.queue = queue;
}
async route(audioUrl: string, options: {
mode?: 'sync' | 'async' | 'callback' | 'auto';
estimatedDuration?: number; // seconds
callbackUrl?: string;
model?: string;
diarize?: boolean;
} = {}) {
const mode = options.mode ?? 'auto';
const duration = options.estimatedDuration ?? 0;
// Auto-select based on duration
const selectedMode = mode === 'auto'
? duration > 300 ? 'callback' // >5 min: use callback
: duration > 60 ? 'async' // >60s: use queue
: 'sync' // <60s: direct API
: mode;
console.log(`Routing: ${selectedMode} (est. ${duration}s)`);
switch (selectedMode) {
case 'sync':
return this.syncTranscribe(audioUrl, options);
case 'async':
return this.asyncTranscribe(audioUrl, options);
case 'callback':
return this.callbackTranscribe(audioUrl, options);
}
}
private async syncTranscribe(url: string, opts: any) {
const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
{ url },
{ model: opts.model ?? 'nova-3', smart_format: true, diarize: opts.diarize }
);
if (error) throw error;
return { mode: 'sync', result };
}
private async asyncTranscribe(url: string, opts: any) {
const jobId = await submitJob(url, opts);
return { mode: 'async', jobId };
}
private async callbackTranscribe(url: string, opts: any) {
const { result } = await this.client.listen.prerecorded.transcribeUrl(
{ url },
{ model: opts.model ?? 'nova-3', smart_format: true, callback: opts.callbackUrl }
);
return { mode: 'callback', requestId: result.metadata.request_id };
}
} ┌──────────────┐
│ Client │
└──────┬───────┘
│
┌──────▼───────┐
│ API Gateway │
│ /transcribe │
└──────┬───────┘
│
┌──────▼───────┐
│ Hybrid Router │
└──┬───┬───┬───┘
│ │ │
┌───────────┘ │ └───────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Sync │ │ Queue │ │ Callback │
│ (<60s) │ │ (BullMQ) │ │ (>5min) │
└────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │
└──────────┬───┘──────────────┘
│
┌───────▼──────┐
│ Deepgram │
│ API │
└───────┬──────┘
│
┌───────▼──────┐
│ Results │
│ Store │
└──────────────┘| Issue | Cause | Solution |
|---|---|---|
| Sync timeout on large file | Wrong pattern selected | Use async queue or callback |
| Queue backlog growing | Workers overloaded | Scale workers, increase concurrency |
| WebSocket disconnects | Network instability | Auto-reconnect with backoff |
| Callback not received | Endpoint unreachable | Check HTTPS, verify callback URL |
© 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-reference-architecture of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Deepgram Reference Architecture 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 Reference Architecture this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.7k | 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 | |
| DeepgramAnil-matcha/awesome-muse-connectors | 1.3k | — | ~857 | Automated safety check: Pass | MIT | |
| 9Router Speech-to-Textdecolua/9router | 31k | — | ~914 | Automated safety check: Pass | MIT | |
| Deepgram JS Speech To Textdeepgram/deepgram-js-sdk | 276 | — | ~1.8k | Automated safety check: Pass | 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.
Anil-matcha/awesome-muse-connectors
Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).
decolua/9router
Transcribes audio files into text or subtitles through 9Router's Whisper-compatible endpoint, using models from OpenAI, Groq, Gemini, Deepgram and others.
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.
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 Deepgram reference architecture for scalable transcription systems. Deepgram Reference Architecture is an agent skill from jeremylongshore/tons-of-skills-marketplace. Implement Deepgram reference architecture for scalable transcription systems.
Deepgram Reference Architecture fits situations like: designing transcription pipelines; building production architectures; planning Deepgram integration at scale.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-reference-architecture -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-reference-architecture in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-reference-architecture -a codex`. Or copy the skill folder (skills/.curated/deepgram-reference-architecture in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-reference-architecture 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-reference-architecture -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-reference-architecture, .gemini/skills/deepgram-reference-architecture, .github/skills/deepgram-reference-architecture and .opencode/skills/deepgram-reference-architecture in your project.
Going by SKILL.md and its folder, Deepgram Reference Architecture needs 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:*). Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 2 domains. As links in the text: docs.bullmq.io and developer.mozilla.org. 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 Reference Architecture is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k 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 1.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deepgram Reference Architecture: Deepgram JS Audio Intelligence (deepgram/deepgram-js-sdk, 276 stars), Deepgram Python Speech-to-Text (deepgram/deepgram-python-sdk, 469 stars), Deepgram (Anil-matcha/awesome-muse-connectors, 1.3k 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.
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.