deep-research
Run multi-source research with graded evidence and traceable conclusions.
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- Updated Jun 24, 2026
Run multi-source research with graded evidence and traceable conclusions.
Give it a research question and the Claude Code skill decomposes it, searches the open web with Tavily, and, when relevant, adds GitHub, academic indexes, or current library documentation. It grades and corroborates sources before producing a research plan, cited report, source file, and claim-to-evidence map. Claude Code, Tavily MCP, and Python 3.10 or later are required.
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Protocols & integrations
Generate study-design-aware clinical Table 1 outputs in HTML, Word, and LaTeX.
Retrieve cited Quran and Sahih hadith texts through a RAG-backed Claude skill.
Capabilities
Public GitHub facts last synced Jul 10, 2026.
Define product problems through six research lenses before proposing solutions.
Review ML and AI papers with evidence-based critiques and verified references.