pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Show current session status and context health for the sewage project. Use to check context usage, active work state, and what will survive compaction.
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill context-status -a windsurf -y
name: context-status description: | Show current session status and context health for the sewage project. Use to check context usage, active work state, and what will survive compaction. allowed-tools: ["Bash", "Read", "Glob"]
Show current session status including context usage estimate and project state.
# Recent git activity git log --oneline -5 # Working tree status git status --short # Recent output files ls -lt output/log/ 2>/dev/null | head -5
# Count analysis scripts find scripts/R/09_analysis/ -name "*.R" | wc -l # Count output tables and figures ls output/tables/*.tex 2>/dev/null | wc -l ls output/figures/ 2>/dev/null | wc -l # Check manuscript sections ls docs/overleaf/*.tex 2>/dev/null
Format output:
Session Status --- Recent commits: [last 3] Uncommitted changes: [count] Recent reports: [last 3 in output/log/] Project Progress --- Pipeline scripts: N Analysis scripts: N Output tables: N Output figures: N Manuscript sections: N .tex files Memory Files --- [List files in .claude/projects/.../memory/]
## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics…
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid +…
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven +…
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready…
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…