analysis▌

Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting. This skill enables systematic analysis of network protocols, detection of anomalies, and reconstruction of network conversations from PCAP files.

Dataset exploration, cleaning, statistical analysis, and visualization in Python or SQL. \n \n Supports CSV, JSON, and SQL data sources with pandas DataFrames and direct database queries \n Covers the full analysis pipeline: data loading, missing value handling, outlier detection, grouping, correlation analysis, and pivot tables \n Includes visualization templates for histograms, boxplots, heatmaps, and time series using matplotlib and seaborn \n Generates structured markdown reports with datase

Value-investing analysis tool for Chinese A-shares with stock screening, deep financial analysis, and valuation modeling. \n \n Four core modules: stock screener (filter by PE, ROE, dividend yield, debt ratio), financial analyzer (profitability, growth, cash flow trends), industry comparator (peer benchmarking), and valuation calculator (DCF, DDM, relative valuation methods) \n Automated financial anomaly detection flags suspicious patterns in receivables, cash flow divergence, inventory buildup

LLM-powered daily stock analysis across A-shares, Hong Kong, and US markets with technical indicators and AI-driven signals. \n \n Analyzes multiple markets (A-shares, Hong Kong, US stocks) with technical indicators including moving averages, MACD, RSI, and bias rate \n Generates trend status, buy signal scores, and AI-driven operation advice with target prices and stop-loss levels \n Supports batch analysis of multiple stocks and optional integration with market-data skill for enhanced data sta

Measure and analyze code quality metrics to identify complexity, maintainability issues, and areas for improvement.

Correlation analysis measures the strength and direction of relationships between variables, helping identify which features are related and detect multicollinearity.

Analyze data in spreadsheets, uncover insights, and create compelling visualizations.

You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.

"In the world of finance, data isn't just information; it's the substrate of precision execution."

Framework-driven competitive analysis grounded in market realities, not feature comparison. \n \n Expands competitive set beyond direct competitors to include status quo, workarounds, and analog alternatives; helps identify the true threat (features, distribution, or business model) \n Surfaces structural asymmetries and unique advantages competitors cannot easily copy, with emphasis on grounding analysis in customer and market perspective rather than internal politics \n Flags common pitfalls: