nixtla-uncertainty-quantifier
Analyze forecast uncertainty using conformal prediction. Use when risk assessment or scenario planning is required. Trigger with 'quantify uncertainty' or 'prediction intervals'.
Analyze forecast uncertainty using conformal prediction. Use when risk assessment or scenario planning is required. Trigger with 'quantify uncertainty' or 'prediction intervals'.
This skill should be used when constructing Zipline Pipeline objects for factor-based strategies. It provides patterns for building efficient pipelines, combining factors, creating screens, and optimizing pipeline performance.
Use when performing security audits or system hardening. Teaches security assessment principles and prioritization.
Shared compliance and audit framework across all phases. Regulatory requirements, compliance matrix, audit readiness, documentation requirements, and gap analysis.
This skill should be used when combining multiple strategies into a portfolio, implementing strategy allocation, and managing multi-strategy systems. It provides frameworks for strategy weighting, correlation analysis, and dynamic allocation.
Step-by-step reasoning patterns for complex problem solving
Validate product-market positioning using Eugene Schwartz's awareness levels and market sophistication stages. Use when launching a product, pivoting positioning, or unsure how to communicate your value proposition.
Analyze competitors systematically. Use when evaluating competition or positioning strategy.
Data analyst career development, portfolio building, and professional growth strategies
Expert-level financial systems, FinTech, banking, payments, and financial technology
Optimize decisions using proof-weighted scoring.
Factor modeling and portfolio construction (Markowitz, Black-Litterman, constraints, turnover).
Master threat modeling with STRIDE, attack trees, risk assessment, and identifying security threats in systems and applications.
Shipping Data Analyst Expert - Rate Preparation Intelligence v5.0 Purpose: Analyze prospect shipping data to UNDERSTAND their operations BEFORE creating Xparcel rates. Mental Model: This is DISCOVERY, not selling. Learn their world before proposing solutions. Triggers on: "shipping analysis", "PLD analysis", "rate prep", "shipping data", "freightclub", "shipstation export", "analyze shipping", "weight distribution", "zone analysis" Use when: Customer provides shipping data export and you need to understand their profile for rate creation.
Compare technologies with weighted scoring matrix. Use when evaluating libraries, frameworks, SaaS products, or infrastructure options.
Incorporates external variables (holidays, weather, events) into TimeGPT forecasts to improve accuracy. Use when forecasts require external data, holidays impact sales, or weather affects demand. Trigger with 'include holidays', 'add weather data', 'integrate events'.
Convert academic trading paper into NautilusTrader strategy specification. 70% token savings (2500→750).
Expert-level banking systems, core banking, regulations, and banking technology
Perform offshore field development economic analysis with NPV, MIRR, IRR, and payback calculations. Use for investment analysis, cashflow modeling, BSEE data integration, development system classification, and Excel report generation.
Portfolio building, technical interviews, job search strategies, and continuous learning
Complete curation and streaming economics including playlists, radio, mixed content, revenue calculations, and the two-economy system (creation vs curation)
Analyzes competitors, competitive landscape, market positioning, and competitive advantages