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AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
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Showing SKILL.md
| name | tavily |
| description | AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents. |
| homepage | https://tavily.com |
| metadata | {"clawdbot":{"emoji":"🔍","requires":{"bins":"[Truncated]","env":"[Truncated]"},"primaryEnv":"TAVILY_API_KEY"}} |
AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.
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
-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 daysnode {baseDir}/scripts/extract.mjs "https://example.com/article"
Notes:
TAVILY_API_KEY from https://tavily.com--deep for complex research questions--topic news for current eventstavily-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:
When to use tavily-search:
--topic newsSee skill://deep-research for comprehensive Tavily workflows.
Routes adaptive multi-agent deliberation with fractal context cycles. Use when using /cdo, think/deep/debug/parliament work, or long runs paired with autoresearch scheduling.
Use when you need an evidence-first provenance report from `cass`, repo docs, `.lev`, `~/.agents/diagrams`, `qmd`, or Grep/Glob tools.
Use the codebase knowledge graph for structural code queries. Triggers on: explore the codebase, understand the architecture, what functions exist, show me the structure, who calls this function, what does X call, trace the call chain, find callers of, show dependencies, impact analysis, dead code, unused functions, high fan-out, refactor candidates, code quality audit, graph query syntax, Cypher query examples, edge types, how to use search_graph.