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web-search

Search the web and extract webpage content as Markdown.

2|Updated Apr 11, 2026
Search Tags:#documentation#information retrieval#web search#url fetching#markdown extraction#real-time research
One-click install
npx skills add https://github.com/kvm9-dev/susanoo --skill web-search-kvm9-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web-search
Source: https://github.com/kvm9-dev/susanoo/tree/main/.local/skills/web-search
Command: npx skills add https://github.com/kvm9-dev/susanoo --skill web-search-kvm9-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you discover up-to-date information from the live web and turn specific webpage content into usable notes when your question depends on current events or documentation that changes over time.

Core Features & Use Cases

  • Real-time web discovery: Search the web for relevant sources using natural language questions, then review result pages with titles, URLs, and snippets.
  • Targeted content retrieval: Fetch a chosen URL and extract its content as Markdown for direct use in your workflow.
  • Multiple queries at once: Run concurrent searches (up to 10) to broaden coverage across competing sources, vendors, or versions.
  • Use Case: Checking whether an API rate limit changed for “2026” by searching for the latest docs, then fetching the exact guide page to confirm the current limits and conditions.

Quick Start

Use the web-search skill to search for “OpenAI API rate limits 2026” and then fetch the most authoritative documentation page as Markdown.

Frequently Asked Questions about web-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve real-time web search results and extract content from specific URLs?▼

Real-time web search results are retrieved by submitting natural-language queries to discover relevant sources, after which you can fetch targeted URLs and extract their full webpage content as Markdown for direct workflow integration.

Can I run multiple web searches concurrently to compare documentation across different vendors?▼

Concurrent web searches support running up to 10 queries at once, allowing you to broaden coverage across competing sources, vendors, or software versions to verify up-to-date API or SDK documentation.

How does URL-to-Markdown extraction handle web content for research tasks?▼

URL-to-Markdown extraction fetches a chosen webpage and converts its content into structured Markdown, enabling you to capture usable notes and verify current facts beyond your training data.

What are the limitations of fetching live web content for real-time research?▼

Live web content fetching cannot access paywalled or otherwise inaccessible pages, meaning retrieval is limited to publicly available sources when verifying current events or up-to-date documentation.

When do I need live web context to find answers instead of relying on existing knowledge?▼

Live web context is needed when your question depends on current events, changing API rate limits, or up-to-date SDK documentation that has shifted beyond the static knowledge in your training data.

Does the web-search skill work with natural language queries for information retrieval?▼

Information retrieval uses a natural-language query interface to search the web for relevant sources, returning result pages complete with titles, URLs, and snippets for immediate review.

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