tavily-dynamic-search
Programmatic Tavily search with context isolation. Use when web search or extraction will return large results that need filtering, deduplication, or multi-step triage before they enter the model context. Use tavily-search for ordinary lookups and tavily-research for end-to-end cited synthesis.
Install
With your agent
Install OMGSkills skill "tavily-ai/skills:tavily-dynamic-search" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/tavily-ai/skills /tmp/skills && ln -s /tmp/skills/skills/tavily-dynamic-search ~/.claude/skills/tavily-dynamic-searchFrom README
Tavily Dynamic Search Keep large raw web payloads on disk and return only the evidence needed for the task. This is useful when using --include-raw-content, combining several queries, or extracting multiple long pages. Do not use this workflow for a simple lookup that a normal tvly search --json can answer directly. Before running Search and extract support capped keyless access. Run them directly when tvly is available. If tvly is missing, follow the tavily-cli . Do not look for an API key or authenticate before the first request. If the keyless cap is reached in an interactive session, run tvly login to open browser OAuth, then retry the blocked request once. In an unattended environment, report the cap and authentication options instead of starting an interactive flow. Workflow Search broadly without raw content and inspect titles, URLs, scores, and snippets. Fetch full content only for the best sources.
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