Search the web with domain filtering, time ranges, and JSON output.
npx skills add https://github.com/calvingit/skills --skill tavily-search-calvingit
Please help me install this Agent Skill. Skill: tavily-search Source: https://github.com/calvingit/skills/tree/main/external-skills/Tool/tavily-search Command: npx skills add https://github.com/calvingit/skills --skill tavily-search-calvingit
Provides fast, structured web search results optimized for LLM consumption, including content snippets, relevance scores, and metadata to feed downstream reasoning.
Run tvly search with your query and request JSON output for easy ingestion.
High-intent search queries and answers about installing and using this skill.
You can get LLM-optimized web search results by running a CLI-based search and requesting JSON output, which structures content snippets and relevance scores for easy ingestion.
The best way to perform web research with domain filtering and time ranges is using a CLI search tool that supports include-domains and time range options to scope queries precisely.
Yes, you can include raw content and metadata when gathering articles by enabling specific options in the CLI search command to retrieve full content alongside relevance scores.
Yes, tavily-search supports multiple search depths for discovering sources, allowing you to adjust the query scope to retrieve either basic or more detailed structured web results.
A CLI-based search tool is used instead of a standard search engine for LLM workflows because it directly outputs structured JSON with content snippets and metadata, avoiding manual HTML parsing.
Wike-CHISearch and retrieve information from Google Workspace services via CLI.
shsteimerSearch AEM Live documentation and return ranked results with relevance scores.
tavily-aiSearch the web and retrieve content via Tavily's LLM-optimized API.
ma-waisSearch the web and fetch URL content as markdown.
