reading-sec-filings
Extracts content from SEC filings (10-K, 10-Q, 8-K) via Financial Datasets API. Use when asked about risk factors, MD&A, business descriptions, or SEC filing content.
Extracts content from SEC filings (10-K, 10-Q, 8-K) via Financial Datasets API. Use when asked about risk factors, MD&A, business descriptions, or SEC filing content.
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
Expert-level energy systems, smart grids, renewable energy, power management, and energy analytics
Use when deciding between a high-status opportunity and a riskier path that feels more aligned, when feeling trapped despite external success, or when auditing if your decisions serve your values or others' expectations
Expert-level algorithmic trading, market systems, quantitative analysis, and trading platforms
Information theory (entropy/MI/TE) and causal inference for trading signals.
Generates comprehensive daily investment reports with market overview, portfolio analysis, technical signals, and opportunities
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, scenario planning, LBO analysis, and real estate investment modeling for investment decisions
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
Analyze competitors systematically. Use when evaluating competition or positioning strategy.
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).