Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.
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See how to installReview the instructions the agent will receive before you install.
Web search, content extraction, site crawling, URL discovery, and deep research. Returns JSON optimized for LLM consumption.
Run tvly --help or tvly <command> --help for full option details.
Must be installed and authenticated. Check with tvly --status.
tavily v0.1.0
> Authenticated via OAuth (tvly login)
If not ready:
curl -fsSL https://cli.tavily.com/install.sh | bash
Or manually: uv tool install tavily-cli / pip install tavily-cli
Then authenticate:
tvly login --api-key tvly-YOUR_KEY
# or: export TAVILY_API_KEY=tvly-YOUR_KEY
# or: tvly login (opens browser for OAuth)
Follow this escalation pattern — start simple, escalate when needed:
| Need | Command | When |
|---|---|---|
| Find pages on a topic | tvly search | No specific URL yet |
| Get a page's content | tvly extract | Have a URL |
| Find URLs within a site | tvly map | Need to locate a specific subpage |
| Bulk extract a site section | tvly crawl | Need many pages (e.g., all /docs/) |
| Deep research with citations | tvly research | Need multi-source synthesis |
For detailed command reference, use the individual skill for each command (e.g., tavily-search, tavily-crawl) or run tvly <command> --help.
All commands support --json for structured, machine-readable output and -o to save to a file.
tvly search "react hooks" --json -o results.json
tvly extract "https://example.com/docs" -o docs.md
tvly crawl "https://docs.example.com" --output-dir ./docs/
? and & as special characters.--json for agentic workflows — every command supports it.- — echo "query" | tvly search -No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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蚂蚁银行开户
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Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
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仅使用 AWS CLI 操作 AWS。Agent 直接执行 aws 命令（无需脚本）。仅在用户提到 AWS、S3、EC2、Lambda 等时激活。
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