pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files.
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-julia --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/review-juliaContext preview
The summary Claude sees to decide when to auto-load this skill.
Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files.
name: review-julia description: Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files. disable-model-invocation: true argument-hint: "[filename or 'all']" allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"]
Run a comprehensive Julia code review on the specified script(s). **Do NOT edit any source files** -- produce a report only.
1. **Identify target**: Use `$ARGUMENTS` to find the Julia file(s). If `all`, scan all `.jl` files in the project.
2. **Read standards** from `.claude/rules/julia-code-conventions.md`.
3. **Check these categories**:
4. **Save report** to `quality_reports/[script_name]_julia_review.md`.
5. **Present summary**: Total issues, severity breakdown, top critical issues.
📌 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 |
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