retrospectives
Master sprint retrospectives with various formats, action planning, and continuous improvement techniques for team effectiveness.
Master sprint retrospectives with various formats, action planning, and continuous improvement techniques for team effectiveness.
Analyze and forecast Polymarket contracts using TimeGPT with confidence intervals. Use when predicting contract prices. Trigger with 'Polymarket analysis' or 'forecast prediction market'.
Analyze multi-contract correlations for forecast-based hedge recommendations. Use when managing correlated assets. Trigger with 'analyze correlations' or 'suggest hedge'.
Identifies emerging trends, predicts market movements, forecasts future opportunities
Expert-level security auditing, compliance, code review, and vulnerability assessment
Expert-level accounting, tax, financial reporting, and accounting systems
Fear creates exaggerated negative predictions. When gripped by fear, bet that the opposite will happen if you act against it, then take action. Use for high-stakes decisions that feel emotionally dangerous.
Thống kê và phân tích dữ liệu tài chính trong ứng dụng OverTime
Conducts external research for competitive analysis, standards, and APIs
Analyzes iron butterfly credit spreads with ATM short straddle and OTM long strangle protection. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting stock to pin at specific strike, want maximum credit collection in high IV, analyzing tight-range opportunities, or implementing high-premium neutral strategies on stocks with strong technical pivot levels.
Analyze BSEE HSE (Health, Safety, Environment) incident data for risk assessment. Use for operator safety scoring, incident trend analysis, compliance tracking, and ESG-integrated economic evaluation.
Expert-level cloud financial operations, cost optimization, and cloud economics
Evaluate opportunities by assessing Potential BEFORE Probability, then check Passion and Prowess. Prevents risk aversion from killing high-upside ideas.
Analyzes protective collar strategies combining long stock, long put protection, and short call income. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0. Use when protecting stock positions with reduced cost, hedging downside while generating income, or implementing portfolio insurance with capped upside on mid to large-cap holdings.
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions
Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want to collect premium in high IV, analyzing range-bound opportunities, or implementing neutral income strategies on stocks with defined trading ranges.
Minimizing slippage, benchmarking fills, and detecting toxic flow.
Frank's personalized financial mastery and wealth coaching
Project risk assessment toolkit. Identify technical, business, resource, and external risks, score likelihood and impact, define mitigation strategies and contingency plans for comprehensive risk management.
Analyze RFP JSON exports to score suppliers, calculate weighted rankings, generate syntheses, compare responses, and identify risks. Use when working with RFP evaluation data in JSON format (requirements with weights, supplier responses with scores). Supports executive summaries, detailed category analysis, pairwise comparisons, and risk identification using weighted scoring methodology.
Master product backlog management with prioritization frameworks, refinement techniques, estimation, and continuous backlog optimization for maximum value delivery.