agentleFS
Sign inStart free
baofeng-techbaofeng-tech/agent-skills-so/tavily-extract/SKILL.md

tavily-extract

Skill0 starsChanged 7 months agoMITView on GitHub

Extract clean, readable content from one or more URLs using Tavily Extract via AIsa API. Useful for reading full articles without visiting the page. Use when: the user needs web search, research, source discovery, or content extraction.

  • Reads credentials

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run the search client with the extract subcommand:

    line 26

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

AIsa Tavily Extract

Extract clean, readable content from one or more URLs using the Tavily Extract endpoint via AIsa API. Converts web pages into structured text, stripping ads, navigation, and other noise.

Setup

This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the environment variables.

Usage

Run the search client with the extract subcommand:

python3 scripts/search_client.py extract --urls "<comma-separated URLs>"

Arguments

ArgumentRequiredDefaultDescription
--urls / -uYes—Comma-separated list of URLs to extract content from

Examples

# Extract a single article
python3 scripts/search_client.py extract --urls "https://example.com/article"

# Extract multiple pages
python3 scripts/search_client.py extract --urls "https://example.com/page1,https://example.com/page2"

Output

For each URL, the script prints:

  • URL — The source URL
  • Content — Clean extracted text (up to 3000 characters per page)

When to Use

Use this skill when the user provides a URL and wants to read or analyze its content, or when you need to fetch the full text of an article found via search. This is the best tool for "read this page" or "summarize this URL" requests.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free