{"name":"brycewang-stanford-economic-research-skills-economic-research-journal-skills","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"brycewang-stanford-economic-research-skills-economic-research-journal-skills","source":{"source":"github","repo":"brycewang-stanford/awesome-journal-skills"},"description":"Agent skill stack for submitting to 《经济研究》 (Economic Research Journal), the top economics journal in China. Eighteen skills across the manuscript lifecycle: China-context topic selection, introduction, bilingual literature review, theory & hypotheses, data & sample, modern causal identification (DID / IV / RDD / DML with heterogeneity-robust estimators), mechanism analysis (post-江艇 2022 paradigm), heterogeneity, robustness, three-line tables, policy implications, abstract, house style, reviewer-lens self-audit, reproducibility, submission preflight, and R&R rebuttals. Ships a runnable Stata + Python code library. Bilingual zh-CN / en docs.","version":"0.3.0","strict":true,"keywords":["economic-research","jingji-yanjiu","cssci","china-economics","causal-inference","difference-in-differences","instrumental-variables","regression-discontinuity","double-machine-learning","mechanism-analysis","robustness-checks","reproducibility","stata","macroeconomics","institutional-economics","academic-writing","chinese-journal"],"category":"deployment"}]}