Tavily Search

Organization

tavily-ai

tavily-search

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

Overview

Publisher	tavily-ai
Repository	`skills`
Skill name	`tavily-search`
Stars	486
Forks	40
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/tavily-ai/skills/tree/main/skills/tavily-search
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.

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-search .claude/skills/tavily-search

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tavily Search 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 Search 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 Search 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 search

Web search returning LLM-optimized results with content snippets and relevance scores.

Before running

Run search directly when tvly is available. Search supports capped keyless access, so do not look for an API key or authenticate before the first request.

If tvly is missing, follow the tavily-cli setup before retrying. If the keyless cap is reached in an interactive session, run tvly login to open browser OAuth, then retry the original search once. In an unattended environment, report the cap and authentication options instead of starting an interactive flow. Do not start a second login immediately after guided setup has completed.

When to use

You need to find information on any topic
You don't have a specific URL yet
First step in the workflow: search → extract → map → crawl → research

Quick start

bash
# Basic search
tvly search "your query" --json

# Advanced search with more results
tvly search "quantum computing" --depth advanced --max-results 10 --json

# Recent news
tvly search "AI news" --time-range week --topic news --json

# Domain-filtered
tvly search "SEC filings" --include-domains sec.gov,reuters.com --json

# Include full page content in results
tvly search "react hooks tutorial" --include-raw-content --max-results 3 --json

Options

Option	Description
`--depth`	`ultra-fast`, `fast`, `basic` (default), `advanced`
`--max-results`	Max results, 0-20 (default: 5)
`--topic`	`general` (default), `news`, `finance`
`--time-range`	`day`, `week`, `month`, `year`
`--start-date`	Results after date (YYYY-MM-DD)
`--end-date`	Results before date (YYYY-MM-DD)
`--include-domains`	Comma-separated domains to include
`--exclude-domains`	Comma-separated domains to exclude
`--country`	Boost results from country
`--include-answer`	Include AI answer (`basic` or `advanced`)
`--include-raw-content`	Include full page content (`markdown` or `text`)
`--include-images`	Include image results
`--include-image-descriptions`	Include AI image descriptions
`--chunks-per-source`	Chunks per source (advanced/fast depth only)
`-o, --output`	Save the JSON response to a file
`--json`	Structured JSON output

Search depth

Depth	Speed	Relevance	Best for
`ultra-fast`	Fastest	Lower	Real-time chat, autocomplete
`fast`	Fast	Good	Need chunks, latency matters
`basic`	Medium	High	General-purpose (default)
`advanced`	Slower	Highest	Precision, specific facts

Tips

Keep queries under 400 characters — think search query, not prompt.
Break complex queries into sub-queries for better results.
Use --include-raw-content when you need full page text (saves a separate extract call).
Use --include-domains to focus on trusted sources.
Use --time-range for recent information.
Verify identity-sensitive facts at the exact primary source. For releases, versions, ownership, or similarly named projects, confirm the official repository or domain instead of trusting a generated answer or package-name match alone.
Read from stdin: echo "query" | tvly search - --json

Frequently asked questions

What does the Tavily Search AI skill do?

Why use Tavily Search on TypingMind?

Because you install it once and use it with any model. Tavily Search 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 Search in TypingMind?

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

Which AI models can use Tavily Search?

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 Search?

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

Is the Tavily Search 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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Tavily Search

Overview