Tavily Cli logo

Tavily Cli

Organization
tavily-ai
tavily-cli

Set up, authenticate, update, troubleshoot, or choose between Tavily CLI web commands. Use when the user asks about the Tavily CLI, installing Tavily skills, first-time setup, authentication, keyless limits, CLI updates, or which Tavily command to use. For an ordinary web task, use the specific search, extract, map, crawl, research, or dynamic-search skill instead.

Overview

Publishertavily-ai
Repositoryskills
Skill nametavily-cli
Stars
486
Forks
40
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tavily-ai on GitHub. Read the source before you install it.

Installation

Install the Tavily Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tavily-ai/skills/tree/main/skills/tavily-cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tavily-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/tavily-cli .claude/skills/tavily-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tavily Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tavily Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tavily Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tavily CLI

Web search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.

Requires tavily-cli. Search and extract support capped keyless access; map, crawl, and research require authentication.

Run tvly --help or tvly <command> --help for full option details.

Setup

If tvly is not installed:

bash
curl -fsSL https://cli.tavily.com/install.sh | bash

Or manually: uv tool install tavily-cli / pip install tavily-cli

For agent setup, start keyless unless the user asks to sign in or the requested task needs map, crawl, or research. If the installer did not already complete setup, run:

bash
tvly init --skip-auth

This installs or updates the Tavily skills and verifies a live keyless search. Do not look for an API key or authenticate before the first search or extract request.

When authentication is requested or required, use guided setup:

bash
tvly init

# Prefer to open the sign-in link yourself
tvly init --no-browser

tvly init reuses an existing credential, installs or updates the Tavily skills bundled with that CLI release, and verifies a live search. Run tvly update first when refreshing bundled skills. Use tvly init --skip-skills when the skills are already installed and only authentication or verification is needed.

Search and extract can run immediately without authentication, subject to a keyless rate-limit cap. If either command reaches that cap in an interactive session, run tvly login to open browser OAuth, then retry the original command once. In an unattended environment, report the cap and authentication options instead of starting an interactive flow. Map, crawl, and research require authentication. Check the current state only when needed with tvly --status --json.

For authentication without full setup, use tvly login, tvly login --no-browser, tvly login --api-key tvly-YOUR_KEY, or TAVILY_API_KEY.

Browser-based OAuth is the preferred interactive sign-in method. --no-browser simply prints the sign-in link instead of opening it automatically; the flow still returns to a localhost callback on the machine running tvly. In remote sessions, make sure that callback is reachable (SSH may require port forwarding). In an unattended agent or CI environment, leave authentication to the user or use a securely provided TAVILY_API_KEY, then resume the original command.

Keep an existing installation current with tvly update --check and tvly update.

Workflow

Follow this escalation pattern — start simple, escalate when needed:

  1. Search — No specific URL. Find pages, answer questions, discover sources.
  2. Extract — Have a URL. Pull its content directly.
  3. Map — Large site, need to find the right page. Discover URLs first.
  4. Crawl — Need bulk content from an entire site section.
  5. Research — Need comprehensive, multi-source analysis with citations.
NeedCommandWhen
Find pages on a topictvly searchNo specific URL yet
Get a page's contenttvly extractHave a URL
Find URLs within a sitetvly mapNeed to locate a specific subpage
Bulk extract a site sectiontvly crawlNeed many pages (e.g., all /docs/)
Deep research with citationstvly researchNeed multi-source synthesis

For detailed command reference, use the individual skill for each command (e.g., tavily-search, tavily-crawl) or run tvly <command> --help.

Run tvly without a subcommand for the interactive REPL.

Output

Search, extract, crawl, map, and research support --json for structured output. Result-producing commands support -o to save the JSON response; crawl also supports --output-dir for one Markdown file per page. Setup, authentication, status, and update commands expose --json where documented but do not support -o.

bash
tvly search "react hooks" --json -o results.json
tvly extract "https://example.com/docs" -o docs.json
tvly crawl "https://docs.example.com" --output-dir ./docs/

Tips

  • Always quote URLs — shell interprets ? and & as special characters.
  • Use --json for agentic workflows when the selected command exposes it.
  • Read from stdin with - — echo "query" | tvly search -
  • Exit codes: 0 = success, 1 = setup/update failure, 2 = bad input, 3 = auth error, 4 = API or live-verification error.

Frequently asked questions

What does the Tavily Cli AI skill do?

Set up, authenticate, update, troubleshoot, or choose between Tavily CLI web commands. Use when the user asks about the Tavily CLI, installing Tavily skills, first-time setup, authentication, keyless limits, CLI updates, or which Tavily command to use. For an ordinary web task, use the specific search, extract, map, crawl, research, or dynamic-search skill instead.

Why use Tavily Cli on TypingMind?

Because you install it once and use it with any model. Tavily Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tavily Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tavily-ai/skills/tree/main/skills/tavily-cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tavily Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tavily Cli?

As many as you like. As long as a model supports skills, you can use Tavily Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tavily Cli AI skill free?

Yes. It is published on GitHub by tavily-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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