Search the web via DuckDuckGo Lite and extract titles, URLs, and snippets.
npx skills add https://github.com/velamints2/clawbot-lab --skill ddg-search-velamints2
Please help me install this Agent Skill. Skill: ddg-search Source: https://github.com/velamints2/clawbot-lab/tree/main/skills/ddg-web-search Command: npx skills add https://github.com/velamints2/clawbot-lab --skill ddg-search-velamints2
Web search without relying on an API key, using DuckDuckGo Lite via web_fetch to obtain quick access to relevant results. It serves as a fallback when API-based search is unavailable or when you don't want to configure a search API, returning titles, URLs, and snippets for research queries with zero additional dependencies.
Enter your search terms and retrieve readable results using web_fetch on the DuckDuckGo Lite page.
High-intent search queries and answers about installing and using this skill.
No API key is required to perform web search with this Skill. It leverages DuckDuckGo Lite through the built-in web_fetch tool to parse the HTML interface and extract titles, URLs, and snippets without external dependencies.
DuckDuckGo Lite works as a fallback for research workflows when primary search APIs fail. It applies a text-based fetch approach to extract titles, URLs, and snippets, producing readable results for research without needing API keys.
The search-then-fetch pattern searches for candidate links first, then fetches full content for reading. This Skill enables the pattern by returning concise titles, URLs, and snippets from DuckDuckGo Lite for quick triage before you fetch pages.
Web search via DuckDuckGo Lite requires no external dependencies beyond the built-in web_fetch tool. It parses the HTML interface directly, allowing you to obtain search results without installing additional packages.
A limitation of using DuckDuckGo Lite instead of an API is that it relies on parsing HTML, which may be less stable than structured API responses. It is best suited as a fallback for queries that do not require API keys rather than high-volume production search.
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