Skill UI

This skill provides a marketer's decision framework rather than a tactic library. It helps users determine where first customers come from, evaluate if actions produce results, and judge marketing tests. It analyzes context like product, offer, and budget to return reasoned verdicts on whether to proceed, optimize, or stop a channel. It focuses on exchange value, test volume requirements, and kill rules to ensure data-driven decisions.

This skill provides a comprehensive framework for mastering microservices architecture patterns. It covers critical aspects of building robust, distributed systems, including defining service boundaries (Domain-Driven Design), managing inter-service communication, handling distributed data transactions, and implementing various resilience patterns (e.g., circuit breaker, circuit breaker). It is essential for large-scale system decomposition.

Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments. Includes MLflow setup, required metadata schema, and registration scripts for traceability and policy-driven promotion.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.