Query Google, Wikipedia, Reddit, and RSS feeds with Redis caching.
npx skills add https://github.com/adelpro/openclaw-arsenals --skill search-cluster
Please help me install this Agent Skill. Skill: search-cluster Source: https://github.com/adelpro/openclaw-arsenals/tree/main/02-skills/search-cluster Command: npx skills add https://github.com/adelpro/openclaw-arsenals --skill search-cluster
Unified search across Google, Wikipedia, Reddit, and RSS feeds with Redis-backed caching to deliver fast, consolidated results and reduce API usage.
Run a search query such as "quantum computing" to retrieve consolidated results from Google, Wikipedia, Reddit, and RSS with cached responses.
High-intent search queries and answers about installing and using this skill.
Multi-source search queries Google, Wikipedia, Reddit, and RSS feeds in parallel, returning a consolidated JSON list of titles, links, snippets, and sources to deliver fast, unified results.
Aggregating web search results with Redis-backed caching stores responses for 24 hours, minimizing repeated API calls and significantly reducing latency for subsequent multi-engine queries.
Yes, multi-source information retrieval requires a Redis instance for caching and Google API access to query and store aggregated results effectively for 24 hours.
Multi-engine clustering handles API or RSS feed errors gracefully during search, ensuring that a failure in one source does not disrupt the overall parallel execution or result retrieval.
Unified search returns a JSON list of results containing the title, link, snippet, and source for each item retrieved from Google, Wikipedia, Reddit, and RSS feeds.
googleConfigure OAuth2, client libraries, and REST access for the Google Ads API.
aws-samplesSearch the web via Google Custom Search and return titles, snippets, links, and optional image results.
TeiNamImplement Redis caching, locking, rate limiting, and session storage patterns.
alter123-zzAggregate search results from seventeen web engines without API keys.
