Individual skill
tavily-deep-research
Advanced web search, content extraction, and site mapping through Tavily via SandBase. Use when asked for web research, URL content extraction, full article reading, news search, or site structure discovery.
research/tavily-deep-research/SKILL.md
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- Apache-2.0
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- agent-skills Repository topic
- ai-agents Repository topic
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- deepseek Repository topic
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- writing Derived category
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SKILL.mdcore · 2,799 bytesSKILL.mdcore · 2,799 bytesSKILL.mdcore · 2,799 bytesreferences/sandbase-api-map.mddoc · 985 bytes
Read excerpt
# 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](references/sandbase-api-map.md) 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.