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
