claude

web-access

Complete web browsing and automation skill for Claude Code - intelligent tool selection, CDP browser automation, and site experience accumulation

5,011 on GitHubby 一泽 Ezev2.4.2MITupdated 4 days ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin web-access in brycewang-stanford/Auto-Empirical-Research-Skills. Commands read from the repo's manifest — 3 days ago.

What it installs

Skills (1)

  • web-access

    所有联网操作必须通过此 skill 处理,包括:搜索、网页抓取、登录后操作、网络交互等。触发场景:用户要求搜索信息、查看网页内容、访问需要登录的网站、操作网页界面、抓取社交媒体内容(小红书、微博、推特等)、读取动态渲染页面、以及任何需要真实浏览器环境的网络任务。

View source on GitHub copaper.ai

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Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER-paper exemplars.

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Study p-hacking in econometric designs: map researcher degrees of freedom, audit a specification search with a complete ledger and null-calibrated honest p-values, replay realistic search procedures, detect p-hacking in a literature, immunise an analysis, and benchmark whether an AI agent p-hacks. Research and teaching use only.

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Explicit 8-step empirical-analysis pipeline in the traditional Python econometrics stack (pandas + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml): cleaning -> variable construction -> Table 1 -> diagnostics -> estimation (OLS/IV/DID/RDD/PSM/SCM/DML/Causal Forest) -> robustness -> mechanism/heterogeneity/mediation -> publication-ready tables & figures. Includes epidemiology and ML-causal modes.

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Explicit 8-step empirical-analysis pipeline in the modern tidyverse + econometrics R stack (dplyr + haven + fixest + did + synthdid + rdrobust + MatchIt + WeightIt + grf + DoubleML + mediation + marginaleffects + modelsummary). All eight steps fit in a single .qmd; `quarto render` produces a unified PDF/HTML/Word reproducibility report. Includes epidemiology and ML-causal modes.

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Explicit 8-step empirical-analysis pipeline in the traditional Stata ecosystem (reghdfe + ivreg2 + csdid + did_imputation + sdid + rdrobust + synth + psmatch2 + teffects + esttab + coefplot): from use/import to .tex/.rtf tables and .pdf figures, with the full modern DID toolkit (bacondecomp + honestdid + rwolf + ritest). Includes epidemiology and ML-causal modes. The first choice for referee-level Stata replication packs.

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stata

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Comprehensive Stata reference — syntax, data management, econometrics, causal inference, graphics, Mata, and 20 community packages.

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