Releases: brycewang-stanford/Awesome-Journal-Skills
Releases · brycewang-stanford/Awesome-Journal-Skills
Release list
v1.0.0 — 2902 skills · 195 packs · executed empirical showcase
Awesome Journal Skills v1.0.0
首个正式版本 · First stable release
这是什么 / What this is
按「期刊」定制的一站式 AI 投稿工作流仓库:2902 个 Agent Skill、195 个 Pack,
覆盖 519 本顶级期刊与 155 个 CS/AI 顶会(中英双语),并且是目前唯一一个
能真正把实证分析跑出来的期刊 skill 仓库——不是给建议,而是给真实工具运行的数字。
A one-stop, per-journal AI submission-workflow repository: 2,902 agent skills
across 195 packs, covering 519 top journals and 155 CS/AI venues (bilingual
ZH/EN) — and the only journal-skills repo whose empirical claims are backed by
actually executed analyses, not pseudo-code.
v1.0 亮点 / Highlights
🧪 Executed Empirical Showcase(真实运行证据层)
Five end-to-end cases, every number a verbatim StatsPAI MCP tool output on
public benchmark data (showcase/):
| Design | Case | Headline |
|---|---|---|
| Synthetic control (SCM/ASCM/SDID) | California Prop 99 | ATT −18.19, placebo p=0.026, three estimators agree |
| Staggered DiD (Callaway–Sant'Anna) | Castle-doctrine laws | ATT +0.110, honest-DiD robust to M≤0.019 |
| IV (2SLS + AR/CLR/tF weak-IV panel) | Card (1995) college proximity | 0.132 vs OLS 0.074, effective F 17.5 |
| Sharp RD (rdrobust + density test) | Close elections (LMB 2004) | 43.85 ADA points, manipulation test p=0.72 |
| DML (PLR) | Returns to schooling | 0.074 — an honest methods-boundary demo |
📦 质量体系 / Quality system
- Scorecard floor 92.0 / mean 93.8 across all 195 first-party packs; zero packs below 90.
- Execution bridge (StatsPAI / Stata MCP) wired into 134/134 empirical depth packs.
- Hard CI gates: inventory tripwires, local-link audit, prose clone audit (0 pairs ≥0.75),
showcase evidence markers; weekly scheduled freshness run + external-link advisory.
🔎 可发现性 / Discoverability
- Machine-readable venue index
(185 venues: discipline, tier, lane, region, source-map path). - Full ZH/EN front-page parity (38 sections 1:1), 406 verified cover images.
安装 / Install
/plugin marketplace add https://github.com/brycewang-stanford/awesome-journal-skillsThen install any pack, e.g. /plugin install economic-research-journal-skills.
致谢 / Credits
Maintained by CoPaper.AI × Stanford REAP.
Powered by StatsPAI.
🤖 Release notes generated with Claude Code