memento-teams/memento-skills/web-search

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)