Agent skill

Deepgram Hello World

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Create a minimal working Deepgram transcription example. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedMedia & Creative

Install Deepgram Hello World

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-hello-world -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deepgram-hello-world --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/deepgram-hello-world .claude/skills/deepgram-hello-world && 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/

Facts

Skill name
deepgram-hello-world
GitHub stars
2.8k
Token cost
~1.5k tokens
SKILL.md length
272 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Create a minimal working Deepgram transcription example. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 6 steps: Transcribe Audio from URL (TypeScript) → Transcribe a Local File → Python Equivalent → …
  • Starting a new Deepgram integration
  • SKILL.md covers Examples, Overview, Prerequisites and Instructions, plus 4 more sections
  • Calls npm, npx and python; reaches static.deepgram.com; needs DEEPGRAM_API_KEY

What it does

Deepgram Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create a minimal working Deepgram transcription example. Use when starting a new Deepgram integration, testing your setup, or learning basic Deepgram API patterns. Trigger: "deepgram hello world", "deepgram example", "deepgram quick start", "simple transcription", "transcribe audio".

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/extended-examples.md`). Compatibility notes: Designed for Claude Code

It sits in Media & Creative, covering Transcription. 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.

When your agent uses it

  • Starting a new Deepgram integration
  • Testing your setup
  • Learning basic Deepgram API patterns

Example prompts

  • “deepgram hello world”
  • “deepgram example”
  • “deepgram quick start”
  • “/deepgram-hello-world”

Requirements

  • Python 3
  • Node.js
  • A credential in DEEPGRAM_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Transcribe Audio from URL (TypeScript)
  2. Transcribe a Local File
  3. Python Equivalent
  4. Add Features
  5. Explore Model Options
  6. Run It

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npm
    • npx
    • python

    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:

    • static.deepgram.com

    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.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Deepgram Hello World loads about 1.5k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 272 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 272 words, ~1,487 tokens.

Download SKILL.mdSave it as .claude/skills/deepgram-hello-world/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
deepgram-hello-world
description
Create a minimal working Deepgram transcription example. Use when starting a new Deepgram integration, testing your setup, or learning basic Deepgram API patterns. Trigger: "deepgram hello world", "deepgram example", "deepgram quick start", "simple transcription", "transcribe audio".
allowed-tools
Read, Write, Edit
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, deepgram, api, testing, transcription, quickstart

Deepgram Hello World

Examples

Transcribe a short licensed fixture in the development project, verify the response shape and selected model/language, and remove the fixture according to the test policy. Keep only a correlation ID and aggregate result in logs; do not use a customer call or retain its transcript as a tutorial artifact.

Overview

Minimal working examples for Deepgram speech-to-text. Transcribe an audio URL in 5 lines with createClient + listen.prerecorded.transcribeUrl. Includes local file transcription, Python equivalent, and Nova-3 model selection.

Prerequisites

  • npm install @deepgram/sdk completed
  • DEEPGRAM_API_KEY environment variable set
  • Audio source: URL or local file (WAV, MP3, FLAC, OGG, M4A)

Instructions

Step 1: Transcribe Audio from URL (TypeScript)
typescript
import { createClient } from '@deepgram/sdk';

const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);

async function main() {
  const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
    { url: 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' },
    {
      model: 'nova-3',        // Latest model — best accuracy
      smart_format: true,     // Auto-punctuation, paragraphs, numerals
      language: 'en',
    }
  );

  if (error) throw error;

  const transcript = result.results.channels[0].alternatives[0].transcript;
  console.log('Transcript:', transcript);
  console.log('Confidence:', result.results.channels[0].alternatives[0].confidence);
}

main();
Step 2: Transcribe a Local File
typescript
import { createClient } from '@deepgram/sdk';
import { readFileSync } from 'fs';

const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);

async function transcribeFile(filePath: string) {
  const audio = readFileSync(filePath);

  const { result, error } = await deepgram.listen.prerecorded.transcribeFile(
    audio,
    {
      model: 'nova-3',
      smart_format: true,
      // Deepgram auto-detects format, but you can specify:
      mimetype: 'audio/wav',
    }
  );

  if (error) throw error;

  console.log(result.results.channels[0].alternatives[0].transcript);
}

transcribeFile('./meeting-recording.wav');
Step 3: Python Equivalent
python
import os
from deepgram import DeepgramClient, PrerecordedOptions

client = DeepgramClient(os.environ["DEEPGRAM_API_KEY"])

# URL transcription
url = {"url": "https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav"}
options = PrerecordedOptions(model="nova-3", smart_format=True, language="en")

response = client.listen.rest.v("1").transcribe_url(url, options)
transcript = response.results.channels[0].alternatives[0].transcript
print(f"Transcript: {transcript}")
print(f"Confidence: {response.results.channels[0].alternatives[0].confidence}")
python
# Local file transcription
with open("meeting.wav", "rb") as audio:
    source = {"buffer": audio.read(), "mimetype": "audio/wav"}
    response = client.listen.rest.v("1").transcribe_file(source, options)
    print(response.results.channels[0].alternatives[0].transcript)
Step 4: Add Features
typescript
// Enable diarization (speaker identification)
const { result } = await deepgram.listen.prerecorded.transcribeUrl(
  { url: audioUrl },
  {
    model: 'nova-3',
    smart_format: true,
    diarize: true,         // Speaker labels
    utterances: true,      // Turn-by-turn segments
    paragraphs: true,      // Paragraph formatting
  }
);

// Print speaker-labeled output
if (result.results.utterances) {
  for (const utterance of result.results.utterances) {
    console.log(`Speaker ${utterance.speaker}: ${utterance.transcript}`);
  }
}
Step 5: Explore Model Options
ModelUse CaseSpeedAccuracy
nova-3General — best accuracyFastHighest
nova-2General — proven stableFastVery High
nova-2-meetingConference rooms, multiple speakersFastHigh
nova-2-phonecallLow-bandwidth phone audioFastHigh
baseCost-sensitive, high-volumeFastestGood
whisper-largeMultilingual (100+ languages)SlowHigh
Step 6: Run It
bash
# TypeScript
npx tsx hello-deepgram.ts

# Python
python hello_deepgram.py

Output

  • Working transcription from URL or local file
  • Printed transcript text with confidence score
  • Optional: speaker-labeled utterances

Error Handling

ErrorCauseSolution
401 UnauthorizedInvalid API keyCheck DEEPGRAM_API_KEY
400 Bad RequestUnsupported audio formatUse WAV, MP3, FLAC, OGG, or M4A
Empty transcriptNo speech in audioVerify audio has audible speech
ENOTFOUNDURL not reachableCheck audio URL is publicly accessible
Cannot find module '@deepgram/sdk'SDK not installedRun npm install @deepgram/sdk

Resources

Next Steps

Proceed to deepgram-core-workflow-a for production transcription patterns or deepgram-core-workflow-b for live streaming.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/deepgram-hello-world of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/extended-examples.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Deepgram Hello World 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 Hello World compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepgram Hello World this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.5kAutomated safety check: PassMIT
DeepgramAnil-matcha/awesome-muse-connectors1.3k—~857Automated safety check: PassMIT
9Router Speech-to-Textdecolua/9router31k—~914Automated safety check: PassMIT
Deepgram JS Audio Intelligencedeepgram/deepgram-js-sdk276—~1.5kAutomated safety check: PassMIT
Deepgram JS Speech To Textdeepgram/deepgram-js-sdk276—~1.8kAutomated safety check: PassMIT
Keirouter Sttmydisha/keirouter147—~680Automated safety check: PassMIT

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Works with

Questions about Deepgram Hello World

What does Deepgram Hello World do?

Create a minimal working Deepgram transcription example. An agent skill from jeremylongshore/tons-of-skills-marketplace. Deepgram Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create a minimal working Deepgram transcription example.

When should I use Deepgram Hello World?

Deepgram Hello World fits situations like: starting a new Deepgram integration; testing your setup; learning basic Deepgram API patterns.

How do I install Deepgram Hello World in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/deepgram-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deepgram-hello-world in your project. Claude Code loads it when a task matches its description.

How do I install Deepgram Hello World in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-hello-world -a codex`. Or copy the skill folder (skills/.curated/deepgram-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deepgram-hello-world in your project. Codex loads it when a task matches its description.

Can I use Deepgram Hello World 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 jeremylongshore/tons-of-skills-marketplace --skill deepgram-hello-world -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-hello-world, .gemini/skills/deepgram-hello-world, .github/skills/deepgram-hello-world and .opencode/skills/deepgram-hello-world in your project.

What does Deepgram Hello World need to run?

Going by SKILL.md and its folder, Deepgram Hello World needs the command-line tools its instructions call (npm, npx and python) and credentials named DEEPGRAM_API_KEY. Our summary lists: Python 3; Node.js; A credential in DEEPGRAM_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.

Does Deepgram Hello World access the network?

SKILL.md names 2 domains. In commands or code: static.deepgram.com; 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 Hello World 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 Hello World use?

Deepgram Hello World is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepgram Hello World use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 347 tokens, read only when the agent opens those files.

What are the alternatives to Deepgram Hello World?

Skills that share tags, products or a category with Deepgram Hello World: Deepgram (Anil-matcha/awesome-muse-connectors, 1.3k stars), 9Router Speech-to-Text (decolua/9router, 31k stars), Deepgram JS Audio Intelligence (deepgram/deepgram-js-sdk, 276 stars) and Deepgram JS Speech To Text (deepgram/deepgram-js-sdk, 276 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram Hello World?

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.