How do I install the Cursor Plugin Tavily Tavily Extract skill?

Run npx skillmds@latest add kunanonj/cursor-plugin-tavily-tavily-extract in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Cursor Plugin Tavily Tavily Extract safe to use?

SkillMD's automated safety review verdict for this skill is WARNING. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Cursor Plugin Tavily Tavily Extract?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Cursor Plugin Tavily Tavily Extract free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Cursor Plugin Tavily Tavily Extract?

KunanonJ (@kunanonj) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Cursor Plugin Tavily Tavily Extract by kunanonj

Name: Cursor Plugin Tavily Tavily Extract
Author: KunanonJ

Cursor Plugin Tavily Tavily Extract

Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chun

KunanonJ Updated Sep 17, 2026

File contents

tavily extract

Extract clean markdown or text content from one or more URLs.

Prerequisites

Requires the Tavily CLI. See tavily-cli for install and auth setup.

Quick install: curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login

When to use

You have a specific URL and want its content
You need text from JavaScript-rendered pages
Step 2 in the workflow: search → extract → map → crawl → research

Quick start

# Single URL
tvly extract "https://example.com/article" --json

# Multiple URLs
tvly extract "https://example.com/page1" "https://example.com/page2" --json

# Query-focused extraction (returns relevant chunks only)
tvly extract "https://example.com/docs" --query "authentication API" --chunks-per-source 3 --json

# JS-heavy pages
tvly extract "https://app.example.com" --extract-depth advanced --json

# Save to file
tvly extract "https://example.com/article" -o article.md

Options

Option	Description
`--query`	Rerank chunks by relevance to this query
`--chunks-per-source`	Chunks per URL (1-5, requires `--query`)
`--extract-depth`	`basic` (default) or `advanced` (for JS pages)
`--format`	`markdown` (default) or `text`
`--include-images`	Include image URLs
`--timeout`	Max wait time (1-60 seconds)
`-o, --output`	Save output to file
`--json`	Structured JSON output

Extract depth

Depth	When to use
`basic`	Simple pages, fast — try this first
`advanced`	JS-rendered SPAs, dynamic content, tables

Tips

Max 20 URLs per request — batch larger lists into multiple calls.
Use --query + --chunks-per-source to get only relevant content instead of full pages.
Try basic first, fall back to advanced if content is missing.
Set --timeout for slow pages (up to 60s).
If search results already contain the content you need (via --include-raw-content), skip the extract step.

---name: cursor-plugin-tavily-tavily-extractdescription: Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says \"extract\", \"grab the content from\", \"pull the text from\", \"get the page at\", \"read this webpage\", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chun---# tavily extractExtract clean markdown or text content from one or more URLs.## PrerequisitesRequires the Tavily CLI. See [tavily-cli](../tavily-cli/SKILL.md) for install and auth setup.Quick install: `curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login`## When to use- You have a specific URL and want its content- You need text from JavaScript-rendered pages- Step 2 in the [workflow](../tavily-cli/SKILL.md): search → **extract** → map → crawl → research## Quick start```bash# Single URLtvly extract "https://example.com/article" --json# Multiple URLstvly extract "https://example.com/page1" "https://example.com/page2" --json# Query-focused extraction (returns relevant chunks only)tvly extract "https://example.com/docs" --query "authentication API" --chunks-per-source 3 --json# JS-heavy pagestvly extract "https://app.example.com" --extract-depth advanced --json# Save to filetvly extract "https://example.com/article" -o article.md```## Options| Option | Description ||--------|-------------|| `--query` | Rerank chunks by relevance to this query || `--chunks-per-source` | Chunks per URL (1-5, requires `--query`) || `--extract-depth` | `basic` (default) or `advanced` (for JS pages) || `--format` | `markdown` (default) or `text` || `--include-images` | Include image URLs || `--timeout` | Max wait time (1-60 seconds) || `-o, --output` | Save output to file || `--json` | Structured JSON output |## Extract depth| Depth | When to use ||-------|-------------|| `basic` | Simple pages, fast — try this first || `advanced` | JS-rendered SPAs, dynamic content, tables |## Tips- **Max 20 URLs per request** — batch larger lists into multiple calls.- **Use `--query` + `--chunks-per-source`** to get only relevant content instead of full pages.- **Try `basic` first**, fall back to `advanced` if content is missing.- **Set `--timeout`** for slow pages (up to 60s).- If search results already contain the content you need (via `--include-raw-content`), skip the extract step.## See also- [tavily-search](../tavily-search/SKILL.md) — find pages when you don't have a URL- [tavily-crawl](../tavily-crawl/SKILL.md) — extract content from many pages on a site

Frequently asked questions