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zrl-strategy-scaffold
This skill should be used when creating new Zipline trading strategies from scratch. It provides professional boilerplate templates, coding standards, and structural patterns for building maintainable, testable algorithmic trading strategies.
real-estate-expert
Expert-level real estate systems, property management, MLS integration, CRM, virtual tours, and market analysis
mathematical-constraint-formalization
Formalize constraints using mathematical notation.
assumption-grading
Assess assumptions on certainty and risk to prioritize validation efforts. Use at project start or before phase transitions.
nixtla-forecast-validator
Validate forecast quality by comparing MASE and sMAPE against benchmarks. Use when detecting model degradation. Trigger with 'validate forecast' or 'check forecast quality'.
nixtla-anomaly-detector
Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Trigger with "detect anomalies", "find outliers", "anomaly detection".
faf-enhance
Improve project.faf AI-readiness score through guided enhancements. Identifies missing sections, suggests improvements, helps reach next Podium tier (Bronze→Silver→Gold→Trophy). Use when user asks "improve my score", "enhance my FAF", "reach Gold tier", or wants better AI context quality.
stakeholder-manager
The Communication Shield of the PM Brain. Manages proactive stakeholder communication, tracks preferences, and ensures alignment across partnerships. Use for
elo-ratings-math
Explains the mathematical principles behind Elo rating systems, including expected score calculation, rating updates, and the K-factor. Use when implementing or understanding competitive rating systems.
project-designer
Comprehensive project design and ideation skill for AI/ML and web/mobile applications. Use when users present initial project ideas that need enhancement, architectural guidance, technology stack recommendations, feature expansion, or implementation strategy. Triggers include requests like "help me design a [project type]", "I want to build [concept] but need to flesh out the idea", "what features should I add to [project]", "recommend a tech stack for [idea]", or "enhance my project concept". Provides structured design thinking, architectural patterns, feature frameworks, and technology recommendations through progressive disclosure of specialized reference materials.
strategy
Product strategy skill for defining positioning, ICP/JTBD, competitive analysis, moat hypotheses, pricing/packaging, GTM planning, and roadmap prioritization. Use for tasks like turning ideas into a strategy memo, writing OKRs, creating TAM/SAM/SOM, and making trade-off decisions.
thinking-in-bets
Use when asked to "thinking in bets", "make decisions under uncertainty", "think probabilistically", "avoid resulting", "separate decision quality from outcomes", or "reduce bias in decisions". Helps make explicit bets and evaluate decisions on process, not results. The Thinking in Bets framework (from Annie Duke) applies poker strategy to business and life decisions.
visionary-team
Strategic AI council for product vision, innovation, and future planning
nixtla-uncertainty-quantifier
Quantifies prediction uncertainty using conformal prediction. Use when risk assessment, scenario planning, or decision-making under uncertainty is required. Trigger with "quantify uncertainty", "generate prediction intervals", "confidence bands".
credit-risk
Assess credit risk and default probability for bonds using credit spreads, rating transitions, and recovery analysis. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when evaluating corporate bonds, analyzing credit events, estimating default probabilities, or managing credit portfolio risk.
specification-refiner
Systematic analysis and refinement of specifications, requirements, architecture designs, and project plans. Use when the user wants to identify gaps, weaknesses, inefficiencies, or complications in a proposed plan, specification, or design document. Triggers on gap analysis, specification review, requirements analysis, architecture critique, design validation, plan assessment, weakness identification, assumption auditing, or when users share specs/plans asking for feedback. Produces actionable findings with remediations and maintains analysis state across iterations. Features sequential clarification with one question at a time, recommended answers, and immediate integration.
zrl-walk-forward
This skill should be used when performing walk-forward analysis and out-of-sample testing for strategy validation. It provides frameworks for rolling window optimization, anchored walk-forward, and regime-based validation to assess strategy robustness.
covered-call
Implement covered call options strategy for income generation on long stock positions. Use when seeking to enhance returns through option premium collection while maintaining stock ownership. Covers structure, risk management, Greeks analysis, execution mechanics, and regulatory compliance for covered call writing programs.