按技能名称、说明或 GitHub 作者匹配的结果。
Analyzes CSV files, generates comprehensive summary statistics, identifies data patterns, and creates visualizations using Python and pandas. Automatically adapts analysis based on data type (sales, customer, f...
Use when working with the scikit-hep hist library in Python to create, fill, slice, and plot histograms (1D/2D/multi-axis), including UHI indexing, categorical axes, and mplhep plotting conventions.
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineer...
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...
Specialized assistant for working with Jupyter notebooks (.ipynb files). Use for analyzing, editing, debugging, or executing code in notebooks. Helps with data analysis, machine learning, deep learning, data vi...
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, t...
This skill should be used when users request comprehensive analysis of technology ecosystems, comparing multiple libraries/frameworks/tools with quantitative metrics from GitHub and web research. Trigger words...
Generates PowerPoint presentations from templates with consistent styling across tables, charts, and Mermaid diagrams. Use when creating PPTX files, working with template-based presentations, or applying unifie...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Data analysis, scientific computing, visualization with pandas, numpy, matplotlib
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Helper functions for NA/missing value handling in Excel data. Provides Python and VBA implementations following CLAUDE.md NA handling guidelines.
Build Python-native dashboards with Streamlit. Covers layouts, components, session state, caching, charts, custom components, and deployment. Use for data science dashboards, ML demos, internal tools, and rapid...
Unified analysis skill - Python data analysis (--data) or KB gap identification (--kb)
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。