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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 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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