Agent skill

Deepgram JS Text Intelligence

Install Deepgram JS Text Intelligence

skills CLI

$ npx skills add deepgram/deepgram-js-sdk --skill deepgram-js-text-intelligence -a claude-code

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

GitHub CLI

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

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-text-intelligence -a codex

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

GitHub CLI

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

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

GitHub CLI

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

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

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-text-intelligence -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-text-intelligence .github/skills/deepgram-js-text-intelligence && 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-text-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-text-intelligence into .github/skills/deepgram-js-text-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-text-intelligence", 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-text-intelligence -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-text-intelligence --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-text-intelligence .opencode/skills/deepgram-js-text-intelligence && 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-text-intelligence" agent skill from https://github.com/deepgram/deepgram-js-sdk/tree/main/.agents/skills/deepgram-js-text-intelligence into .opencode/skills/deepgram-js-text-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deepgram-js-text-intelligence", 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-text-intelligence
GitHub stars: 276
Token cost: ~1.1k tokens
SKILL.md length: 351 words
Files: 1
Skills in repo: 7
Repo updated: Oct 2, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: In-repo reference: reference.md → Read… → Canonical OpenAPI (REST):… → Canonical AsyncAPI (WSS):… → …
Reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment
SKILL.md covers When to use this product, Authentication, Quick start and Key parameters / API surface, plus 4 more sections
Calls npx; needs DEEPGRAM_API_KEY

What it does

Deepgram JS Text Intelligence is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment, summarization, topic detection, and intent recognition on text input. Covers client.read.v1.text.analyze(...) with body: { text } or body: { url }. Use deepgram-js-audio-intelligence when the source is audio instead of text. Triggers include "read API", "text intelligence", "analyze text", "sentiment", "summarize text", "topics", "intents", and "read.v1".

Its SKILL.md is about 1.1k 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 Writing & Content, covering Summarization and Speech recognition and synthesis. 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

Reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment
Topic detection
Intent recognition on text input
Include read API

Example prompts

“read API”
“text intelligence”
“analyze text”
“/deepgram-js-text-intelligence”

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 → Read V1 Text; request typing also lives in src/api/resources/read/resources/v1/resources/text/client/{Cli…
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 4b3dc3e. 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 Text Intelligence loads about 1.1k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 351 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: ~1.1k

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 4b3dc3e, republished under its MIT licence (© deepgram). 351 words, ~1,101 tokens.

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

name: deepgram-js-text-intelligence
description: Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (`/v1/read`) for sentiment, summarization, topic detection, and intent recognition on text input. Covers `client.read.v1.text.analyze(...)` with `body: { text }` or `body: { url }`. Use `deepgram-js-audio-intelligence` when the source is audio instead of text. Triggers include "read API", "text intelligence", "analyze text", "sentiment", "summarize text", "topics", "intents", and "read.v1".

Using Deepgram Text Intelligence (JavaScript / TypeScript SDK)

Analyze text or a hosted text URL for sentiment, summarization, topics, and intents via /v1/read.

When to use this product

You already have text (transcript, document, email, chat log) and want analytics.
You want a single REST call; there is no streaming Read API in this SDK.

Use a different skill when:

Your source is audio and you want the analytics applied during transcription → 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/12-text-intelligence.ts:

const data = await deepgramClient.read.v1.text.analyze({
  body: {
    text: "Hello, world! This is a sample text for analysis.",
  },
  language: "en",
  summarize: "v2",
});

console.log("Analysis result:", JSON.stringify(data, null, 2));

For broader coverage, examples/28-text-intelligence-advanced.ts also demonstrates sentiment, topics, intents, custom topics/intents, callbacks, and URL input.

Key parameters / API surface

Param	Notes
`body`	Required. Use `{ text: "..." }` or `{ url: "https://..." }`
`language`	Usually required for analytics features
`sentiment`	Per-segment + aggregate sentiment
`summarize`	SDK examples use both `"v2"` and `true`; see gotchas
`topics`, `intents`	Model-detected topics and intents
`custom_topic`, `custom_intent`	`string` or `string[]`
`custom_topic_mode`, `custom_intent_mode`	Usually `"extended"` or `"strict"`
`callback`, `callback_method`, `tag`	Async delivery and labeling

API reference (layered)

In-repo reference: reference.md → Read V1 Text; request typing also lives in src/api/resources/read/resources/v1/resources/text/client/{Client,requests/TextAnalyzeRequest.ts}.
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 (165 more words)Show less

Gotchas

Prefer body: { text | url } in typed code. That matches TextAnalyzeRequest; some examples also use top-level text, which is less reliable for strict TS.
summarize is inconsistent across examples and generated comments. The request type points at TextAnalyzeRequestSummarize ("v2" today), while generated comments mention boolean for Read and examples use both forms.
This API is REST-only here. No read.v1 WebSocket exists in the repo.
Custom topics/intents need a mode for predictable behavior. Use extended or strict.
The body is JSON, not raw text bytes. Send { body: { text: ... } }, not a string payload.
Language support is product-side, not SDK-side. If analytics look sparse, verify the feature/model/language combination in docs.

Example files in this repo

examples/12-text-intelligence.ts
examples/28-text-intelligence-advanced.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-text-intelligence of deepgram/deepgram-js-sdk.

Open the folder on GitHubat commit 4b3dc3e

Compare with similar skills

Deepgram JS Text Intelligence 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 Text Intelligence compared with similar skills
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Deepgram JS Text Intelligence this skilldeepgram/deepgram-js-sdk	276	—	~1.1k	Automated safety check: Pass	MIT	5 days ago
Transformers.jshuggingface/skills	11k	1 repos	~6.2k	Automated safety check: Pass	Apache-2.0	6 days ago
Azure AI Voicelive TSmicrosoft/skills	3.1k	6 repos	~3.4k	Automated safety check: Pass	MIT	yesterday
Install Anti Sloptrycompai/crm	11k	1 repos	~881	Automated safety check: Pass	MIT	26 days ago
Biome Anti Slopnightly-labs/openbot	422	—	~1.5k	Automated safety check: Pass	Custom licence	yesterday
Deslop TypescriptConsensys/c0	105	—	~1.6k	Automated safety check: Pass	LGPL-3.0	1 mo ago

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Works with

Questions about Deepgram JS Text Intelligence

What does Deepgram JS Text Intelligence do?

A skill your agent uses when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment, summarization, topic detection, and intent…. Deepgram JS Text Intelligence is an agent skill from deepgram/deepgram-js-sdk. Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment, summarization, topic detection, and intent recognition on text input.

When should I use Deepgram JS Text Intelligence?

Deepgram JS Text Intelligence fits situations like: reviewing JavaScript/TypeScript in this repo that calls Deepgram Text Intelligence / Read (/v1/read) for sentiment; topic detection; intent recognition on text input; include read API.

How do I install Deepgram JS Text Intelligence in Claude Code?

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

How do I install Deepgram JS Text Intelligence in Codex?

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

Can I use Deepgram JS Text Intelligence 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-text-intelligence -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-text-intelligence, .gemini/skills/deepgram-js-text-intelligence, .github/skills/deepgram-js-text-intelligence and .opencode/skills/deepgram-js-text-intelligence in your project.

What does Deepgram JS Text Intelligence need to run?

Going by SKILL.md and its folder, Deepgram JS Text Intelligence 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 Text Intelligence 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 Text Intelligence 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 Text Intelligence use?

Deepgram JS Text Intelligence 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 Text Intelligence use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 JS Text Intelligence?

Skills that share tags, products or a category with Deepgram JS Text Intelligence: Transformers.js (huggingface/skills, 11k stars), Azure AI Voicelive TS (microsoft/skills, 3.1k stars), Install Anti Slop (trycompai/crm, 11k stars) and Biome Anti Slop (nightly-labs/openbot, 422 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepgram JS Text Intelligence?

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 2, 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 Text Intelligence

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 Text Intelligence (JavaScript / TypeScript SDK)

When to use this product

Authentication

Quick start

Key parameters / API surface

API reference (layered)

Gotchas

Example files in this repo

Central product skills

Files

Compare with similar skills

Similar skills

More from deepgram/deepgram-js-sdk

Related

Questions about Deepgram JS Text Intelligence