Agent skill · Backend & API

tavily

AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill tavily-thinkfleetai-thinkfleet-engine --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/ai-llm/tavily-thinkfleetai-thinkfleet-engine/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Tavily AI Search ## Overview Tavily is a search engine specifically optimized for Large Language Models and AI applications. Unlike traditional search APIs, Tavily provides AI-ready results with optional answer generation, clean content extraction, and domain filtering capabilities. **Key capabilities:** - AI-generated answer summaries from search results - Clean, structured results optimized for LLM processing - Fast (`basic`) and comprehensive (`advanced`) search modes - Domain filtering (include/exclude specific sources) - News-focused search for current events - Image search with relevant visual content - Raw content extraction for deeper analysis ## Architecture ```mermaid graph TB A[User Query] --> B{Search Mode} B -->|basic| C[Fast Search<br/>1-2s response] B -->|advanced| D[Comprehensive Search<br/>5-10s response] C --> E[Tavily API] D --> E E --> F{Topic Filter} F -->|general| G[Broad Web Search] F -->|news| H[News Sources<br/>Last 7 days] G --> I[Domain Filtering] H --> I I --> J{Include Domains?} J -->|yes| K[Filter to Specific Domains] J -->|no| L{Exclude Domains?} K --> M[Search Results] L -->|yes| N[Remove Unwanted Domains] L -->|no| M N --> M M --> O{Response Optio

What's inside
Steps it walks through
  1. Overview
  2. Architecture
  3. Quick Start
  4. Basic Search
  5. Advanced Search
  6. Domain Filtering
  7. With Images
  8. Search Modes
  9. Basic vs Advanced
  10. General vs News
  11. API Key Setup
  12. Option 1: ThinkFleetBot Config (Recommended)
  13. Option 2: Environment Variable
  14. Getting an API Key
Ships with 1 file
  • metadata.json
Commands it runs
Simple query with AI answer
scripts/tavily_search.py "What is quantum computing?"
Multiple results
scripts/tavily_search.py "Python best practices" --max-results 10
Comprehensive research mode
scripts/tavily_search.py "Climate change solutions" --depth advanced
News-focused search
scripts/tavily_search.py "AI developments 2026" --topic news
Search only trusted domains
scripts/tavily_search.py "Python tutorials" \
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About this skill
What does the tavily skill do?

AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill tavily-thinkfleetai-thinkfleet-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going