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Extract and document a writer's distinctive voice patterns for consistent reproduction. Creates a "voice guide" that enables authentic writing that sounds like the source, not a generic approximation.

Consulting-grade research reports across market analysis, financial analysis, competitive intelligence, and strategic planning. \n \n Operates in two phases: Phase 1 generates a structured analysis framework with chapter skeleton, data requirements, and visualization plans; Phase 2 synthesizes collected data into a polished final report \n Selects from 20+ professional frameworks (SWOT, Porter's Five Forces, TAM-SAM-SOM, Consumer Decision Journey, DuPont Analysis, Blue Ocean Strategy, etc.) matc

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

Professional investment reports combining real-time market data, technical indicators, and AI-powered analysis. \n \n Calculates 10+ technical indicators (RSI, MACD, Moving Averages, Bollinger Bands) and generates 4 types of high-resolution charts (price, indicators, volatility, dashboard) \n Accepts stock ticker symbols with optional client name and custom report title; processes multiple symbols in a single request \n Outputs institutional-grade Markdown reports with executive summary, technic

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

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:

Global market analysis with real-time data collection, risk sentiment assessment, and professional reporting. \n \n Analyzes US, European, and Asian stock indices, forex pairs, commodities, and Treasury yields to assess market conditions and risk-on/risk-off sentiment \n Requires WebSearch access for real-time data; no API keys needed \n Generates structured reports covering executive summary, sector rotation, key economic events, and investment strategy implications \n Includes utility function

Role: Alternative Data & Sentiment Analyst