Tavily Crawl logo

Tavily Crawl

Organization
tavily-ai
tavily-crawl

Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.

Overview

Publishertavily-ai
Repositoryskills
Skill nametavily-crawl
Stars
486
Forks
40
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by tavily-ai on GitHub. Read the source before you install it.

Installation

Install the Tavily Crawl AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tavily-ai/skills/tree/main/skills/tavily-crawl
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tavily-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/tavily-crawl .claude/skills/tavily-crawl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tavily Crawl in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tavily Crawl on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tavily Crawl is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

tavily crawl

Crawl a website and extract content from multiple pages. Supports saving each page as a local markdown file.

Before running

Crawl requires authentication. Run the requested command directly when tvly is already authenticated; do not add a status check to every invocation.

If tvly is missing, follow the tavily-cli setup. If an installed CLI reports an authentication error, use tvly login for authentication only, or tvly init --skip-skills when guided verification is also useful. Browser-based OAuth is preferred when an interactive user can complete it. --no-browser prints the sign-in link instead of opening it, but still waits for a localhost callback. In an unattended agent or CI environment, leave authentication to the user or use a securely provided TAVILY_API_KEY. Do not start a second login immediately after guided setup has completed.

When to use

  • You need content from many pages on a site (e.g., all /docs/)
  • You want to download documentation for offline use
  • Step 4 in the workflow: search → extract → map → crawl → research

Quick start

bash
# Basic crawl
tvly crawl "https://docs.example.com" --json

# Save each page as a markdown file
tvly crawl "https://docs.example.com" --output-dir ./docs/

# Deeper crawl with limits
tvly crawl "https://docs.example.com" --max-depth 2 --limit 50 --json

# Filter to specific paths
tvly crawl "https://example.com" --select-paths "/api/.*,/guides/.*" --exclude-paths "/blog/.*" --json

# Semantic focus (returns relevant chunks, not full pages)
tvly crawl "https://docs.example.com" --instructions "Find authentication docs" --chunks-per-source 3 --json

Options

OptionDescription
--max-depthLevels deep (1-5, default: 1)
--max-breadthLinks per page (default: 20)
--limitTotal pages cap (default: 50)
--instructionsNatural language guidance for semantic focus
--chunks-per-sourceChunks per page (1-5, requires --instructions)
--extract-depthbasic (default) or advanced
--formatmarkdown (default) or text
--select-pathsComma-separated regex patterns to include
--exclude-pathsComma-separated regex patterns to exclude
--select-domainsComma-separated regex for domains to include
--exclude-domainsComma-separated regex for domains to exclude
--allow-external / --no-externalInclude external links (default: allow)
--include-imagesInclude images
--timeoutMax wait (10-150 seconds)
-o, --outputSave JSON output to file
--output-dirSave each page as a .md file in directory
--jsonStructured JSON output

Crawl for context vs. data collection

For agentic use (feeding results to an LLM):

Always use --instructions + --chunks-per-source. Returns only relevant chunks instead of full pages — prevents context explosion.

bash
tvly crawl "https://docs.example.com" --instructions "API authentication" --chunks-per-source 3 --json

For data collection (saving to files):

Use --output-dir without --chunks-per-source to get full pages as markdown files.

bash
tvly crawl "https://docs.example.com" --max-depth 2 --output-dir ./docs/

Tips

  • Start conservative — --max-depth 1, --limit 20 — and scale up.
  • Use --select-paths to focus on the section you need.
  • Use map first to understand site structure before a full crawl.
  • Always set --limit to prevent runaway crawls.

See also

Frequently asked questions

What does the Tavily Crawl AI skill do?

Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.

Why use Tavily Crawl on TypingMind?

Because you install it once and use it with any model. Tavily Crawl is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tavily Crawl in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tavily-ai/skills/tree/main/skills/tavily-crawl. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tavily Crawl?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tavily Crawl?

As many as you like. As long as a model supports skills, you can use Tavily Crawl with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tavily Crawl AI skill free?

Yes. It is published on GitHub by tavily-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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