AI-for-Economics-and-Finance-Research

Use this when helping economics or finance scholars use AI for research workflows, including learning core concepts, choosing copy-ready skills, setting up Git/GitHub/agents, checking sources and datasets, drafting or auditing empirical methods, reviewing papers, building slides, teaching workshops, or finding safe data/resource paths. Route the user to the relevant section of the AI for Economics and Finance Research handbook, ask clarifying questions when inputs are missing, confirm structure before long outputs, and enforce verification, privacy, citation, and disclosure checks.

Use this as one AI assistant skill for economics and finance research workflows. It helps scholars choose tasks, load the right reference, use AI safely for literature review, writing, empirical methods, coding, data, Git/GitHub, agents, datasets, slides, teaching, verification, disclosure, and Chinese workflows. It asks clarifying questions when user input is incomplete, confirms structure before long outputs, and enforces citation, privacy, data-access, and reproducibility checks.