Turn OpenClaw into a research powerhouse. From multi-source deep research with citation tracking to semantic search over your own data — these 7 skills cover every research workflow, from academic literature reviews to competitive intelligence.
Research in 2026 is about synthesis, not just search. The best OpenClaw research setups combine discovery skills like Deep Research and Academic Search with understanding skills like Knowledge Graph and Semantic Search. The key insight: raw search results are just the starting point. You need Web Scraper Pro to extract structured data, News Aggregator for real-time monitoring, and Knowledge Graph to map relationships between entities. For AI-powered analysis on top of your research, pair these with RAG Pipeline from our AI & LLM skills guide.
Academic researchers get the most value from the Academic Search + ArXiv Explorer combination. Academic Search provides unified access across Google Scholar, Semantic Scholar, PubMed, and CORE, while ArXiv Explorer specializes in preprints with AI-generated summaries. Add Deep Research for automated literature reviews that synthesize findings across sources with proper citations. The fact verification feature cross-references claims across at least 3 independent sources — critical for maintaining research integrity. For patent-heavy fields, Patent Search covers USPTO, EPO, WIPO, and national offices with AI-powered prior art discovery and claim mapping.
For broad web research, Web Research Pro (Brave + DuckDuckGo + Google fallback) consistently scores highest in the OpenClaw Skills Hub Trust Score because it deduplicates results across engines and returns citation-ready Markdown.
Yes — by combining a search skill (Web Research Pro), a scraper skill (Firecrawl-Skill), and an RAG Pipeline, OpenClaw can build a private, self-hosted answer engine that keeps queries off third-party servers.