tavily

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

15 stars

Best use case

tavily is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

Teams using tavily should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/tavily-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/Zerone-Agent/agent-use-skills/main/awesome-skills/skills/tavily-search/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/tavily-search/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How tavily Compares

Feature / AgenttavilyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Tavily Search

AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.

## Search

```bash
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
```

## Options

- `-n <count>`: Number of results (default: 5, max: 20)
- `--deep`: Use advanced search for deeper research (slower, more comprehensive)
- `--topic <topic>`: Search topic - `general` (default) or `news`
- `--days <n>`: For news topic, limit to last n days

## Extract content from URL

```bash
node {baseDir}/scripts/extract.mjs "https://example.com/article"
```

Notes:
- Needs `TAVILY_API_KEY` from https://tavily.com
- Tavily is optimized for AI - returns clean, relevant snippets
- Use `--deep` for complex research questions
- Use `--topic news` for current events

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