Agent Native

tavily-search

This skill performs web searches using the Tavily CLI, returning results optimized for large language models with content snippets and relevance scores.

by tavily-aiCommunityNot reviewed

Community author

Agents
Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
License
MIT (permissive)
Pin
778122epinned Oct 9, 2026
Context cost
about 890 tokenswhen the skill loads
GitHub stars
487on tavily-ai/skills
Scripts
None found

What it does

“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.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill performs web searches using the Tavily CLI, returning results optimized for large language models with content snippets and relevance scores. It supports various search depths, time ranges, domain filtering, and can include full page content or AI-generated answers. The skill requires the tvly command-line tool to be available, with optional authentication for high-volume usage.

When to use it

  • Finding information on any topic without a specific URL
  • Searching for recent news within specific time ranges
  • Filtering results to trusted domains or specific countries
  • Extracting full page content alongside search results

When not to

  • When you already have the exact URL to visit
  • Replacing dedicated extraction or multi-source research workflows
  • Verifying sensitive facts without checking primary sources directly

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add tavily-ai/skills --skill tavily-search

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install tavily-ai/skills tavily-search@778122e5f9c680f541eeceda5a5b36405eb7980c

Installs the commit we checked (778122e).

Copy by hand

Download the folder at 778122e and put it in .claude/skills/tavily-search for Claude Code and in .agents/skills/tavily-search for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 778122e

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "tavily-search" by tavily-ai.

Source, pinned to commit 778122e5f9c680f541eeceda5a5b36405eb7980c:
https://github.com/tavily-ai/skills/tree/778122e5f9c680f541eeceda5a5b36405eb7980c/skills/tavily-search

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/tavily-search/ for Claude Code and .agents/skills/tavily-search/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/tavily-ai/tavily-search

SKILL.md at the pin

---
name: tavily-search
description: |
  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.
allowed-tools: Bash(tvly *)
---

# 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](../tavily-cli/SKILL.md#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](../tavily-cli/SKILL.md): **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`

## See also

- [tavily-extract](../tavily-extract/SKILL.md) — extract content from specific URLs
- [tavily-research](../tavily-research/SKILL.md) — comprehensive multi-source research

From tavily-ai/skills at 778122e, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 778122e

Files

1 file, 4.1 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 778122e
All Productivity skills
  • suggest-automations

    This skill suggests three relevant automations to users based on their team role and connected apps, then builds the chosen workflow using the build-workflow…

    by n8nOfficial publisher

    Claude Code, Codex, Cursor +3 · about 1.9K tokens · pinned 6 days ago

  • agent-mail-automation

    This skill enables agents to automate email operations through Composio's Agent Mail toolkit via the Rube MCP server.

    by ComposioOfficial publisher

    Claude Code, Codex, Cursor +3 · about 700 tokens · pinned 6 days ago

  • inbox-manager

    This skill transforms an overflowing inbox into a short prioritized list by reading email from Gmail, Microsoft 365, or pasted text, sorting messages into…

    by AnthropicOfficial publisher

    Claude Code, Codex, Cursor +4 · about 2.5K tokens · pinned 6 days ago

  • huggingface-papers

    This skill retrieves and analyzes AI research papers from Hugging Face's paper index and arXiv by fetching paper content as markdown or structured metadata…

    by Hugging FaceOfficial publisher

    Claude Code, Codex, Cursor +4 · about 2.2K tokens · pinned 6 days ago

  • curating-memory-palace

    This skill lets the agent maintain a Memory Palace, a structured dashboard view that shows the user what the agent is working on, what it could do next, and…

    by LettaOfficial publisher

    Agents not labelled yet · about 3.1K tokens · pinned 6 days ago

  • scheduling-tasks

    This skill lets you create and manage scheduled tasks using the letta cron CLI, sending prompts to the agent on a timer for reminders, periodic work, and…

    by LettaOfficial publisher

    Claude Code, Codex, Cursor +4 · about 2.3K tokens · pinned 6 days ago

The skills listed here are third-party software, collected from public GitHub repositories as a catalog of recent skills and provided as is. Agent Native does not write or control them and is not responsible for any harm, loss or damage caused by installing or using them. Labels and checks describe what we saw at one commit and are not a guarantee. Read a skill's files before you run it. Terms of use