菜单
Review statistical, machine-learning, simulation, or data-transformation implementations before merging.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Review and improve drmTMB prose in README files, vignettes, pkgdown articles, after-task reports, release notes, design docs, and manuscript-style text for clarity, concrete claims, stable terminology, citations, and reader fit.
Audit a completed drmTMB task or phase before closing it, checking implementation, equations, examples, tests, docs, pkgdown, roadmap, NEWS, known limitations, stale wording, and after-task reporting.
Audit and improve drmTMB figures, figure galleries, pkgdown articles, simulation reports, and ggplot recipes when plots look poor, inconsistent, misleading, too sparse, missing raw or replicate data, or need Florence, Rose, Pat, Fisher, and Grace visual QA before being called done.
Audit a completed task or phase before closing it, checking implementation, equations or algorithms, examples, tests, docs, roadmap, release notes, stale wording, and after-task reporting.
Review an R package before a public, CRAN, GitHub, or internal release.
Add a new drmTMB distribution family with likelihood, simulation, tests, and documentation.
| name | model-implementation-review |
| description | Review statistical, machine-learning, simulation, or data-transformation implementations before merging. |
Use this skill for changes to likelihoods, optimizers, training loops, prediction paths, simulation engines, or nontrivial data transformations.
For statistical models, also check:
For machine-learning models, also check:
