// Python-based data analysis tools using pandas and numpy for data processing and visualization.
| name | data-analysis |
| description | Python-based data analysis tools using pandas and numpy for data processing and visualization. |
Overview
Perform data analysis tasks using Python with pandas and numpy libraries.
This skill can read CSV files, perform statistical analysis, generate
summaries, and create visualizations. Input data files are typically
exposed under work/inputs/ or can be generated by other skills.
Examples
Analyze a CSV file and generate basic statistics
Command:
python3 scripts/analyze_csv.py
work/inputs/data.csv
out/analysis_report.txt
Calculate descriptive statistics for numeric columns
Command:
python3 scripts/describe_data.py
work/inputs/sales.csv
out/sales_stats.txt
Generate a data summary report
Command:
python3 scripts/summarize_data.py
work/inputs/dataset.csv
out/dataset_summary.txt
Output Files
城市信息
Small Python utilities for math and text files.
Automatically generate a comprehensive travel plan based on user's travel needs (destination, date, budget, etc.), including transportation, accommodation, attractions, food, and itinerary. Use when a user asks for a travel plan, itinerary, travel tips, or mentions a specific destination.
Simple shell utilities for files and archives.
Weather information query tools including current weather, forecast, and location search.
Generate concise research bullet points for the team leader.
