菜单
Use when working with datasets, creating data directories, or building descriptive statistics notebooks. Triggers on data loading, dataset setup, or exploratory data analysis tasks.
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
Use when creating, editing, or executing Jupyter notebooks (.ipynb files). Covers jupytext pairing, notebook execution, and output verification.
Use when creating plots, charts, or visualizations with matplotlib or seaborn. Defines plotting style standards.
Review a session plan for scope creep and unnecessary complexity before execution begins. Combines scope-check and simplicity-audit. Run after Plan Mode, before any code is written.
Use before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores intent, requirements, and design before implementation.
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Update all README.md and CLAUDE.md files to reflect current codebase state. Combines update-docs and update-claudes. Also archives completed active plans.
| name | data-analysis |
| description | Use when working with datasets, creating data directories, or building descriptive statistics notebooks. Triggers on data loading, dataset setup, or exploratory data analysis tasks. |
data/ and maintain a data/README.md to briefly cover dataset structure and contentnotebooks/ create a datasets.ipynb to display descriptive statistics about the dataset, e.g., means/distributions of word counts, labels, etc.plotting skill for plotting standards