tavily
Tavily web search, content extraction, and research tools.
Skill by openclaw
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/openclaw-tavily
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/tavily
What's inside
- Skill name
tavily- Description
- Tavily web search, content extraction, and research tools.
- License
- MIT
- Instructions
- 89 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Tavily Tools ## When to use which tool | Need | Tool | When | | ---------------------------- | ---------------- | ------------------------------------------------------------- | | Quick web search | `web_search` | Basic queries, no special options needed | | Search with advanced options | `tavily_search` | Need depth, topic, domain filters, time ranges, or AI answers | | Extract content from URLs | `tavily_extract` | Have specific URLs, need their content | ## web_search Tavily powers this automatically when selected as the search provider. Use for straightforward queries where you don't need Tavily-specific options. | Parameter | Description | | --------- | ------------------------ | | `query` | Search query string | | `count` | Number of results (1-20) | ## tavily_search Use when you need fine-grained control over search behavior. | Parameter | Description | | ----------------- | --------------------------------------------------------------------- | | `query` | Search query string (keep under 400 characters) | | `search_depth` | `basic` (default, balanced) or `advanced` (highest relevance, slower) | | `topic` | `general` (default), `news` (real-time updates), or `finance` | | `max_results` | Number of results, 1-20 (default: 5) | | `include_answer` | Include an AI-generated answer summary (default: false) | | `time_range` | Filter by recency: `day`, `week`, `month`, or `year` | | `include_domains` | Array of domains to restrict results to | | `exclude_domains` | Array of domains to exclude from results | ### Search depth | Depth | Speed | Relevance | Best for | | ---------- | ------ | --------- | -------------------------------------------- | | `basic` | Faster | High | General-purpose queries (default) | | `advanced` | Slower | Highest | Precision, specific facts, detailed research | ### Tips - **Keep queries under 400 characters** — think search query, not prompt. - **Break complex queries into sub-queries** for better results. - **Use `include_domains`** to focus on trusted sources. - **Use `time_range`** for recent information (news, current events). - **Use `include_answer`** when you need a quick synthesized answer. ## tavily_extract Use when you have specific URLs and need their content. Handles JavaScript-rendered pages and returns clean markdown. Supports query-focused chunking for targeted extraction. | Parameter | Description | | ------------------- | ------------------------------------------------------------------ | | `urls` | Array of URLs to extract (1-20 per request) | | `query` | Rerank extracted chunks by relevance to this query | | `extract_depth` | `basic` (default, fast) or `advanced` (for JS-heavy pages, tables) | | `chunks_per_source` | Chunks per URL, 1-5 (requires `query`) | | `include_images` | Include image URLs in results (default: false) | ### Extract depth | Depth | When to use | | ---------- | ----------------------------------------------------------- | | `basic` | Simple pages — try this first | | `advanced` | JS-rendered SPAs, dynamic content, tables, embedded content | ### Tips - **Max 20 URLs per request** — batch larger lists into multiple calls. - **Use `query` + `chunks_per_source`** to get only relevant content instead of full pages. - **Try `basic` first**, fall back to `advanced` if content is missing or incomplete. - If `tavily_search` results already contain the snippets you need, skip the extract step. ## Choosing the right workflow Follow this escalation pattern — start simple, escalate only when needed: 1. **`web_search`** — Quick lookup, no special options needed. 2. **`tavily_search`** — Need depth control, topic filtering, domain filters, time ranges, or AI answers. 3. **`tavily_extract`** — Have specific URLs, need their full content or targeted chunks. Combine search + extract when you need to find pages first, then get their full content.
From openclaw/openclaw, MIT.
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Compare and alternatives
Featured in
Signals
- Stars
- 392,925
- Forks
- 82,585
- Open issues
- 4,992
- Last commit (this folder)
- Mar 20, 2026 (7 months ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/openclaw/openclaw
- Website
- openclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
tavily skill. Agent Mart. https://agentmart.dev/skills/openclaw-tavily (last updated 2026-10-24)