メニュー
Use when working with datasets, creating data directories, or building descriptive statistics notebooks. Triggers on data loading, dataset setup, or exploratory data analysis tasks.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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