Agent skill

Deepgram

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).

Install Deepgram

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill deepgram -a claude-code

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors deepgram --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/deepgram .claude/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .claude/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram

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 Anil-matcha/awesome-muse-connectors --skill deepgram -a codex

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors deepgram --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/deepgram .agents/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .agents/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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 Anil-matcha/awesome-muse-connectors --skill deepgram -a cursor

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors deepgram --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/deepgram .cursor/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .cursor/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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/Anil-matcha/awesome-muse-connectors.git --path connectors/deepgram

--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 Anil-matcha/awesome-muse-connectors --skill deepgram -a gemini-cli

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors deepgram --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/deepgram .gemini/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .gemini/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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 Anil-matcha/awesome-muse-connectors deepgram

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 Anil-matcha/awesome-muse-connectors --skill deepgram -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/deepgram .github/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .github/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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 Anil-matcha/awesome-muse-connectors --skill deepgram -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 Anil-matcha/awesome-muse-connectors deepgram --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/deepgram .opencode/skills/deepgram && 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" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/deepgram into .opencode/skills/deepgram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram", 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
GitHub stars: 1.3k
Token cost: ~857 tokens
SKILL.md length: 308 words
Files: 2
Skills in repo: 153
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).

Works in 4 steps: Usage is metered by audio duration… → API key and project management are… → The transcript JSON can contain full… → …
Phrases: deepgram
SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
Runs Python scripts from its folder

What it does

Deepgram is an agent skill from Anil-matcha/awesome-muse-connectors. Deepgram speech AI: transcribe audio to text and synthesize speech (TTS). Trigger phrases: deepgram, transcribe audio, speech to text, STT, deepgram tts.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/deepgram.py`).

It sits in Media & Creative, covering Transcription, Speech recognition and synthesis and Text to speech and voice. It works with Deepgram. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

Phrases: deepgram
Transcribe audio

Example prompts

“/deepgram”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Usage is metered by audio duration (transcription) and characters (TTS). Transcribe and synthesize only what the user asked for; confirm…
API key and project management are confirmation-gated: confirm with the user before creating, rotating, or deleting keys or projects. This…
The transcript JSON can contain full conversation text. Treat transcripts as the user's private content; do not republish or forward them…
Never log or print the raw key; the CLI only ever handles the surrogate.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deepgram loads about 857 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 308 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~41
When it runs · the whole SKILL.md, loaded when a task matches: ~857

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 308 words, ~857 tokens.

Download SKILL.mdSave it as .claude/skills/deepgram/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: deepgram
description: Deepgram speech AI: transcribe audio to text and synthesize speech (TTS). Trigger phrases: deepgram, transcribe audio, speech to text, STT, deepgram tts.
metadata.includeInPrompt: true
tagline: Transcribe prerecorded audio files to text (with optional diarization, summaries, topics, sentiment) and synthesize speech with Deepgram's Aura voices. Reach…
catalog_auth: API key via the secure credential flow
catalog_hosts: api.deepgram.com

Deepgram

Purpose

Transcribe prerecorded audio files to text (with optional diarization, summaries, topics, sentiment) and synthesize speech with Deepgram's Aura voices. Reach for this when the user has an audio file to transcribe or wants spoken audio generated from text.

Tooling

All commands go through bin/deepgram.py. Auth uses exactly Authorization: Token <api_key> (not Bearer); the CLI wires it through the credential surrogate.

bash

bin/deepgram.py auth
# {"ok": true, "projects": 2} on success

bin/deepgram.py projects
# list Deepgram projects (id, name)

bin/deepgram.py transcribe --file meeting.wav
# upload a local audio file, print the transcript JSON

bin/deepgram.py transcribe --file call.mp3 --model nova-3 --diarize --summarize --topics --sentiment
# transcript with speaker labels plus summary, topics and sentiment

bin/deepgram.py tts --text "Thanks for listening." --out thanks.mp3
# synthesize with an Aura voice to a local MP3 file; prints the saved path

Notes:

transcribe reads a local audio file, posts the bytes to POST /v1/listen, and prints the full transcript JSON. Content type is guessed from the file extension (wav, mp3, m4a, flac, ogg supported).
tts posts {"text": "..."} to POST /v1/speak?model=<model>&encoding=mp3 (default model aura-2-thalia-en, 2,000-char limit) and saves the audio to --out (default deepgram-output.mp3).
Live WebSocket STT (/v1/listen streaming) is real-time and outside CLI scope.

Auth

Provider id: deepgram (credential is collected as custom.deepgram)
Collection: Deepgram API key via the secure credential flow (credentials.request_api_access); create one in the Deepgram console
Allowed hosts: api.deepgram.com
Connect placement: custom_header:Authorization (the stored credential value must be exactly Token <api_key>, with the Token prefix; Bearer is not accepted)
Status check: bin/deepgram.py auth

Operating Rules

Usage is metered by audio duration (transcription) and characters (TTS). Transcribe and synthesize only what the user asked for; confirm before processing large batches.
API key and project management are confirmation-gated: confirm with the user before creating, rotating, or deleting keys or projects. This draft CLI is read/compute only; it does not manage keys or projects.
The transcript JSON can contain full conversation text. Treat transcripts as the user's private content; do not republish or forward them without instruction.
Never log or print the raw key; the CLI only ever handles the surrogate.

Files

SKILL.md
bin/deepgram.py

Maturity

🧪 Draft: written from Deepgram's public API docs with paths cross-checked at build time; not yet live-tested end-to-end. Key/project management and usage endpoints are not yet in the CLI.

Files

SKILL.md and 1 other file in connectors/deepgram of Anil-matcha/awesome-muse-connectors.

SKILL.md
bin/deepgram.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Deepgram 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 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Deepgram this skillAnil-matcha/awesome-muse-connectors	1.3k	—	~857	Automated safety check: Pass	MIT	3 days ago
Fal Audioaiskillstore/marketplace	430	6 repos	~174	Automated safety check: Pass	None	yesterday
Speech To Texttadaspetra/loop	296	3 repos	~2k	Automated safety check: Pass	MIT	6 days ago
9Router Speech-to-Textdecolua/9router	30k	—	~745	Automated safety check: Pass	MIT	7 days ago
Deepgram JS Audio Intelligencedeepgram/deepgram-js-sdk	276	—	~1.5k	Automated safety check: Pass	MIT	yesterday
Local AI Useamd/skills	398	—	~5k	Automated safety check: Notes	MIT	yesterday

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Questions about Deepgram

What does Deepgram do?

Deepgram speech AI: transcribe audio to text and synthesize speech (TTS). Deepgram is an agent skill from Anil-matcha/awesome-muse-connectors. Deepgram speech AI: transcribe audio to text and synthesize speech (TTS).

When should I use Deepgram?

Deepgram fits situations like: phrases: deepgram; transcribe audio.

How do I install Deepgram in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill deepgram -a claude-code`. Or copy the skill folder (connectors/deepgram in Anil-matcha/awesome-muse-connectors) into .claude/skills/deepgram in your project. Claude Code loads it when a task matches its description.

How do I install Deepgram in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill deepgram -a codex`. Or copy the skill folder (connectors/deepgram in Anil-matcha/awesome-muse-connectors) into .agents/skills/deepgram in your project. Codex loads it when a task matches its description.

Can I use Deepgram 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 Anil-matcha/awesome-muse-connectors --skill deepgram -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, .gemini/skills/deepgram, .github/skills/deepgram and .opencode/skills/deepgram in your project.

What does Deepgram need to run?

Going by SKILL.md and its folder, Deepgram needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Deepgram access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deepgram 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 use?

Deepgram 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 use?

About 857 tokens (SKILL.md is roughly 3.4k 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?

Skills that share tags, products or a category with Deepgram: Fal Audio (aiskillstore/marketplace, 430 stars), Speech To Text (tadaspetra/loop, 296 stars), 9Router Speech-to-Text (decolua/9router, 30k stars) and Deepgram JS Audio Intelligence (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?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,338 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors 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

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

Deepgram

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Files

Compare with similar skills

Similar skills

More from Anil-matcha/awesome-muse-connectors

Related

Questions about Deepgram