Analytics skills

This skill helps you create and customize data visualizations with Python libraries like matplotlib, seaborn, and plotly to explore insights and communicate

This skill analyzes ClickHouse system.part_log to diagnose issues from high part churn, mutations, and slow merges, guiding targeted remediation.

This skill helps you validate sales copy using Hook-Story-Offer scoring to improve conversion and clarity.

This skill helps you design and implement Clix event tracking with consistent naming, safe schemas, and campaign-ready validation.

This skill analyzes repository history to reveal code evolution patterns and actionable refactoring insights with data-driven recommendations.

This skill helps you build, evaluate, and tune machine learning models using scikit-learn for classification, regression, and clustering.

This skill helps developers implement Clix user identification and properties for consistent identity, personalization, and audience targeting across devices.

This skill analyzes ClickHouse index usage and suggests ORDER BY and projection improvements to align with query patterns and reduce scans.

This skill designs robust data pipelines with quality checks, orchestration, and governance to ensure reliable ELT/ETL workflows.

This skill monitors your GitHub repos and drafts Reddit and Twitter posts for approval when new repos or significant updates appear.

This skill helps you understand and work with Effect's Streams API, including creation, transformation, backpressure, and consumption of real-time data.

This skill helps you plan, conduct, and analyze UX research to unveil user needs and inform product decisions.

This skill helps researchers explore Go codebase topics, document patterns, and provide evidence-based recommendations for design decisions.

This skill helps you manage the full ML lifecycle from experimentation to production, including tracking, versioning, monitoring, and automated retraining.

This skill diagnoses ClickHouse query performance, identifies slow patterns, and offers optimization insights to reduce latency and timeouts.

This skill enables you to design, implement, and compare reinforcement learning algorithms across Q-learning, DQN, PPO, and multi-agent setups.

This skill helps you qualify sales leads effectively by building a framework, designing discovery questions, and disqualifying early to improve conversion.

This skill helps you write efficient Python data science code with Pandas, NumPy, and data manipulation best practices.

This skill analyzes your Twitter health, uncovers engagement opportunities, and suggests actions to grow reach and optimize activity.

This skill analyzes ClickHouse disk usage and compression, identifies bottlenecks, and recommends optimizations for storage efficiency.

This skill helps you design early onboarding moments that drive activation and long-term retention by focusing on the first 30 seconds.