Skills

Web Search

Web search and content fetching.

Install

npx skills add Memento-Teams/Memento-Skills --skill web-search -g -a claude-code -y
Category
Engineering
Updated
3mo ago
License
Apache-2.0
Context cost
Lightabout 405 tokens
Runs scripts
Yes, review before use

What it does

Web search and content fetching. Use when the user needs to search the web for information or fetch content from URLs.

Web Search

Search the web and fetch content from URLs.

Setup

Set TAVILY_API_KEY in config env to enable web search. Get your API key at https://tavily.com.

Available Scripts

scripts/search.py - Web Search

Search the web via Tavily API and return LLM-friendly markdown.

# Search from command line
python scripts/search.py "quantum computing" 5

# From Python
from scripts.search import tavily_search
output = tavily_search("quantum computing", max_results=5)
print(output)

Parameters:

  • query (str): Search query (keep under 400 chars)
  • search_depth (str): ultra-fast | fast | basic | advanced (default basic)
  • max_results (int): Maximum results, default 3
  • include_raw_content (bool): Include full page content when available

Returns: Markdown string with formatted results

scripts/fetch.py - Fetch URL Content

Fetch and extract markdown content from a URL. No API key required.

# Fetch from command line
python scripts/fetch.py "https://example.com"

# From Python
from scripts.fetch import fetch
content = fetch("https://example.com")
print(content)

Parameters:

  • url (str): URL to fetch

Returns: Markdown content string

Workflow

  1. Search: Use tavily_search() to find relevant pages
  2. Fetch: Use fetch() to get full content from specific URLs
  3. Extract: Parse the content to find the information you need

Requirements

  • TAVILY_API_KEY must be set in config env for search functionality
  • fetch works without any API key
  • Dependencies: httpx, beautifulsoup4, markdownify (auto-installed)

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