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About
Use cases: writing, research
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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 greench-ai/NexusOG, MIT.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 26, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/greench-ai/NexusOG
- 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/greench-ai-tavily (last updated 2026-10-24)