🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.

Deep Learning for Time Series Classification

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

Issue handling for Evidence-based Software Engineering: based on the publicly available data

A MCP server for Stata to integrate Stata into your agent.

经管实证研究的 AI 知识库 — 从文献阅读到 Stata 执行，一条流水线串到底。基于 Karpathy 的 LLM-Wiki 理念，按实证研究 10 类实体（变量 / 数据集 / 模型 / 机制 / 假设 / 识别策略 / 稳健性 / 异质性 / 表格 / 论文）定制

Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In Proceedings of The 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 2024

A suite of Julia packages for difference-in-differences

一个基于中国市场的Fama-French五因子实证研究

Python framework for automatically executing measurement-based experiments on native and web apps running on Android devices

Empirical research with AI tools. 你可以点击 Fork 按钮把本仓库复制到你的账号下。我的小红书号: 连玉君 (ID: 95085566173).

Template repository for starting a new empirical paper project implementing good practices for reproducibility using R

Template for an Accounting or Finance Research Project

Clojure data manipulation DSL — composable query syntax built on tech.ml.dataset

经管/社科实证论文 · 从一句话 idea 到可投稿全文的 AI 全流程总编排器 — an end-to-end meta-orchestrator that turns a research idea into a submission-ready empirical paper.

一个基于中国市场的BW投资者情绪指标实证研究

Regression-based multi-period difference-in-differences with heterogenous treatment effects

A sustainable literature review for analyzing the state and evolution of empirical research in requirements engineering using KG-EmpiRE.

Codes to clean data and construct variables for empirical finance.