Screen and refine research ideas in corporate finance, investments, asset pricing, and real estate. Use for brainstorming, novelty checks, contribution framing, and journal-fit triage.
Generate figures that visualize patterns in an academic literature: publication trends, citation landmarks, journal distributions, thematic evolution, method timelines, and coverage gap maps. Uses Corbis search data and Python/matplotlib.
Map the closest literature and sharpen contribution claims for finance or real-estate papers. Use for related-literature sections, novelty maps, and closest-paper comparisons.
Write a comprehensive, structured literature review on a topic. Searches the literature via Corbis, organizes into thematic strands, writes synthesized prose (not paper-by-paper enumeration), and outputs as Markdown, LaTeX section, or standalone LaTeX document with proper BibTeX citations.
Generate novel research ideas in finance and real estate using structured heuristic lenses with internal rejection filtering. Produces a curated Idea Menu of survivors, not a brainstorming list.
Literature review and idea-screening starter kit for Claude Code, powered by the Corbis MCP. Bundles the repo's six research skills — literature review, positioning, landscape figures, idea generation, idea screening, and citation verification — alongside six slash commands and a paper-reader subagent.
Use this agent when the user wants to read, understand, or summarize academic papers in finance, economics, statistics, econometrics, or computer science. This includes requests to analyze PDFs of research papers, create structured summaries, extract key contributions, methods, or findings from academic literature, or…
Runs after a tool call finishes for Write and Edit tool calls, running an inline shell check (2 commands). From Agentic-Assets/corbis-literature-starter-kit.