Available Data Science Tools
Plugins and skills for data science workflows. For general development tools (testing, automation), see /dev-tools.
Code Intelligence Plugins
| Plugin | Description | Enable Command |
|--------|-------------|----------------|
| serena | Semantic code analysis, symbol navigation | claude --enable-plugin serena@claude-plugins-official |
| pyright-lsp | Python type checking and diagnostics | claude --enable-plugin pyright-lsp@claude-plugins-official |
| context7 | Up-to-date library docs (pandas, numpy, sklearn, etc.) | claude --enable-plugin context7@claude-plugins-official |
Data Access Skills (Built-in)
These are skills, not plugins - already available:
| Skill | Description |
|-------|-------------|
| /wrds | WRDS (Wharton Research Data Services) queries |
| /lseg-data | LSEG Data Library (formerly Refinitiv) |
| /gemini-batch | Gemini Batch API for large-scale LLM processing |
| /data-context | Extract tribal knowledge about datasets, generate data context skills |
Notebook & Format Skills (Built-in)
| Skill | Description |
|-------|-------------|
| /jupytext | Jupyter notebooks as text files |
| /marimo | Marimo reactive Python notebooks |
| /xlsx | Spreadsheets, formulas, CSV conversion |
| /pdf | PDF extraction, creation, form filling |
| /docx | Word docs, tracked changes, reports |
When to Enable Plugins
- serena: Understanding complex analysis codebases, refactoring pipelines
- context7: Access current docs for pandas, scikit-learn, statsmodels
- pyright-lsp: Type check data pipelines
Usage
claude --enable-plugin <plugin-name> # Enable for current session