pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Stage, commit, and push changes for the sewage project. Creates a branch, commits with a descriptive message, pushes, and optionally creates a PR. This skill should be used when asked to "commit", "save changes", "push", or "create a PR".
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill commit --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/commitContext preview
The summary Claude sees to decide when to auto-load this skill.
Stage, commit, and push changes for the sewage project. Creates a branch, commits with a descriptive message, pushes, and optionally creates a PR. This skill should be used when asked to "commit", "save changes", "push", or "create a PR".
name: commit description: Stage, commit, and push changes for the sewage project. Creates a branch, commits with a descriptive message, pushes, and optionally creates a PR. This skill should be used when asked to "commit", "save changes", "push", or "create a PR". argument-hint: "[optional: commit message]" allowed-tools: ["Bash", "Read", "Glob"]
Stage changes, commit with a descriptive message, and push to remote.
1. **Check current state:**
git status git diff --stat git log --oneline -5
2. **Create a branch** from current state:
git checkout -b <short-descriptive-branch-name>
3. **Stage files** — add specific files (never use `git add -A`):
git add <file1> <file2> ...
Do NOT stage:
4. **Commit** with a descriptive message:
If `$ARGUMENTS` is provided, use it as the commit message. Otherwise, analyse the staged changes and write a message that explains *why*, not just *what*.
git commit -m "$(cat <<'EOF' <commit message here> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> EOF )"
5. **Push and optionally create PR:**
git push -u origin <branch-name> gh pr create --title "<short title>" --body "$(cat <<'EOF' ## Summary <1-3 bullet points> ## Test plan <checklist> EOF )"
6. **Merge and clean up** (only if user confirms):
gh pr merge <pr-number> --merge --delete-branch git checkout main git pull
7. **Report** the PR URL and what was merged.
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud /…
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
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