analyst▌

Automated analysis of market-moving news from the past 10 days with impact-ranked reporting. \n \n Collects news across six categories (monetary policy, inflation, earnings, geopolitical, commodities, corporate) using WebSearch and WebFetch, prioritizing Tier 1 sources \n Ranks events by impact score combining price movement magnitude, breadth across asset classes, and forward-looking significance \n Analyzes multi-asset reactions (equities, bonds, commodities, currencies) and compares actual ma

Forensic deconstruction of YouTube videos to extract viral formulas, hooks, and retention mechanics. \n \n Analyzes video transcripts across 11 systematic sections: hook architecture, structural blueprint, retention mechanics, emotional engineering, storytelling, linguistic patterns, algorithm signals, CTAs, and viral coefficient scoring \n Extracts reusable fill-in-the-blank script templates, power phrases, and transition patterns ready for immediate application to new content \n Includes imple

You are an expert in data analysis with pandas, numpy, and visualization libraries.

Provides business intelligence and data analysis expertise specializing in SQL, dashboard design, and metric-driven insights. Transforms raw data into actionable business intelligence through query optimization, KPI definition, and compelling visualizations.

Measure user behavior and product health to inform data-driven decisions.

Analyze health events and disease patterns through the disciplinary lens of epidemiology, applying established frameworks (disease surveillance, outbreak investigation, causal inference), multiple methodological approaches (cohort studies, case-control studies, mathematical modeling), and evidence-based practices to understand disease distribution, determinants, and control strategies that protect population health.

Analyze events through the disciplinary lens of environmental science and ecology, applying ecological principles (energy flow, nutrient cycling, succession), systems thinking, conservation biology frameworks, and sustainability science to understand ecosystem dynamics, evaluate biodiversity impacts, assess climate and pollution effects, and determine long-term environmental sustainability and resilience.

This skill provides comprehensive capabilities for data analysis workflows on CSV datasets. It automatically analyzes missing value patterns, intelligently imputes missing data using appropriate statistical methods, and creates interactive Plotly Dash dashboards for visualizing trends and patterns. The skill combines automated missing value handling with rich interactive visualizations to support end-to-end exploratory data analysis.

Analyze events through the disciplinary lens of futures studies and strategic foresight, applying established forecasting frameworks (scenario planning, trend analysis, horizon scanning), anticipatory methods, and systems thinking to understand emerging trends, identify drivers of change, envision alternative futures, and develop strategic responses to uncertainty.

Analyze events through the disciplinary lens of history, applying rigorous historical methods (source criticism, comparative analysis, periodization), temporal frameworks (continuity/change, causation), and historiographical perspectives to understand how the past shapes the present, identify historical patterns and precedents, and contextualize contemporary events within long-term trajectories.