tavily-deep-research

Installation
SKILL.md

Tavily Deep Research

Advanced web search and content extraction through SandBase's Tavily integration. Search the web with depth control, extract clean content from URLs, and discover site structures. Read the API map before selecting a capability.

Call SandBase capabilities

Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.

Operating principles

  • Use Tavily for current, real-time web information that the model's training data may not cover.
  • Cite sources with URLs for every factual claim.
  • Use appropriate search depth: basic for quick checks, advanced for thorough research.
  • Extract full content only when necessary — search snippets are often sufficient.

Workflow

1. Search the web

Installs
7
GitHub Stars
210
First Seen
Aug 27, 2026