Tavily Search

Organization

OpenMinis

tavily-search

Use the Tavily Search API to perform web searches. When users need to find the latest information, official documentation, news updates, tutorial links, policy changes, or any real-time facts, prioritize triggering this skill. Be sure to load this skill whenever information retrieval requests appear, such as "look this up," "latest," "now," "official website," "literature/paper/course entry point," or "is there a better solution?" It supports searching web pages and retrieving summaries and original links. This skill should take precedence over pure model guessing to provide users with verifiable sources of information.

Overview

Publisher	OpenMinis
Repository	`MinisSkills`
Skill name	`tavily-search`
Stars	543
Forks	86
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OpenMinis 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/OpenMinis/MinisSkills/tree/main/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/OpenMinis/MinisSkills.git /tmp/MinisSkills
mkdir -p .claude/skills
cp -r /tmp/MinisSkills/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

This skill provides the ability to search the internet for information in real time, using the Tavily API to obtain high-quality web results, summaries, and links.

Use Cases

Real-Time Information: Find the latest news, version updates, company announcements, social events, and technology news.
Resource Location: Search for official documentation, developer manuals, entry points to original papers, online course pages, and official tool websites.
Fact-Checking: Answer questions containing time-sensitive terms such as "recent," "current," "latest," "official website," or "today."
In-Depth Background: Before answering complex questions, use search to gather industry background or multiple perspectives.

Dependencies and Configuration

Dependencies: python3, Python package tavily-python.
Environment Variable: TAVILY_API_KEY must be set.

Environment Variable Configuration

If the environment variable is not configured, you can quickly set it using the following link:

Set TAVILY_API_KEY

If a dependency is missing from the environment, run:

bash
python3 -m pip install tavily-python

Tools and Scripts

This skill includes one core Python script that supports text and JSON output.

Script Location

/var/minis/skills/tavily-search/scripts/search.py

Command Examples

bash
# Basic search (default text output, including title/URL/summary)
python3 scripts/search.py "Python 3.13 New Features"

# Specify the number of results to return
python3 scripts/search.py "Shanghai Events This Week" --max 8

# Get JSON format (suitable for further processing by the model)
python3 scripts/search.py "Rust Web Framework" --format json

# Include the reference answer generated by the API (if any)
python3 scripts/search.py "What is RAG Technology" --include-answer

Parameter Description

query (positional argument): Search keyword.
--max: Number of results to return. Default is 5.
--format: text (default) or json.
--include-answer: Boolean switch. In text mode, displays the API-aggregated answer field.

Workflow Recommendations

Search First, Then Answer: For topics that are not general common knowledge, especially recent events, first call search.py to obtain context, then synthesize the answer.
Include Source Citations: At the end of the answer or within paragraphs, be sure to include URLs from the search results as sources to improve credibility.
Structured Processing: If you need to process a large amount of information, prioritize using --format json and parse the results internally.

minis_url: minis://skills/tavily-search/SKILL.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

evals/evals.json1 KB
scripts/search.py1 KB

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/OpenMinis/MinisSkills/tree/main/tavily-search. TypingMind reads its SKILL.md and bundles its files 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 OpenMinis 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Tavily Search Web Search

Use Cases

Dependencies and Configuration

Environment Variable Configuration

Tools and Scripts

Script Location

Command Examples

Parameter Description

Workflow Recommendations

Bundled files

Frequently asked questions

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