brycewang-stanford

brycew6m Joined Feb 2025 363 followers View on GitHub

Stars
7,367
across 34 public repos
Rank
#4,746
of 326,791 users, top 2%
Up 97 places this week

Repositories with 50+ stars

brycewang-stanford's repositories with their overall rank
RankRepositoryLanguageStars
12,935

🔬 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...

Stata 5,001
48,816

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...

Stata 1,405
163,078

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas,...

Python 373
227,998

A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文,全程自动完成。

Python 253
615,965

Every AI slide-deck skill worth knowing, on one page — both the HTML and native-PPTX routes, compared on what actually decides the choice rather than on star count. Bilingual, auto-refreshed.

Python 74
708,033

Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebuttals for AER / AER:Insights / AEJ. | 助你更快发表 AER 论文的...

Python 62
777,304

Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI...

Python 55
837,605

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.

Python 50
837,605

🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review)....

Python 50

Among 326,791 users

6.3k–10k stars: 2,574 users, including brycewang-stanford

Stars along the bottom, and users in each band on a log scale

When they were made

9 repos with 50+ stars, made between 2025 and 2026

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Public repos
34, 9 with 50+ stars
Popular repos
4 over 100 stars, 2 over 1k stars
Top repo
Auto-Empirical-Research-Skills, #12,935 of all repos, 68% of stars
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44 stars from repos under 50

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