tavily

# 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 ## Related Search Tools **tavily-search is for single-query AI-optimized search. For more:** | Tool | Use When | Example | |------|----------|---------| | **deep-research** | Multi-query Tavily synthesis | `deep-research "query" --deep` (uses this + more) | | **valyu** | Turn-based recursive research | `valyu research "query" --turns 5` | | **lev-research** | Multi-perspective orchestration | `lev-research "query"` | | **lev-find** | Unified local + external | `lev find "query" --scope=research` | | **brave-search** | Quick web lookups | `brave-search "query"` | | **exa-plus** | Neural search, GitHub, papers | `exa search "query"` | | **grok-research** | Real-time X/Twitter | `grok-research "query"` | | **firecrawl** | Content extraction | `firecrawl scrape <url>` | | **qmd** | Local session search | `qmd query "query"` | **Tavily hierarchy:** - **tavily-search** (this) - Single query, clean snippets - **deep-research** - Multi-query orchestration using Tavily backend **When to use tavily-search:** - ✅ Quick AI-optimized results - ✅ Clean snippets for LLM context - ✅ Current events with `--topic news` - ❌ Multi-query synthesis (use deep-research) - ❌ Turn-based refinement (use valyu) See `skill://deep-research` for comprehensive Tavily workflows.