animation-at-work
booklib-ai/booklib
Apply web animation principles from Animation at Work by Rachel Nabors. Covers human perception of motion, 12 principles of animation, animation patterns (transitions, supplements, feedback, demonstrations, decorations), CSS transitions, CSS animations, Web Animations API, SVG/Canvas/WebGL, communicating animation with storyboards and motion comps, performance (composite-only properties, will-change, RAIL), accessibility (prefers- reduced-motion, vestibular disorders), and team workflow. Trigger on "animation", "transition", "CSS animation", "keyframe", "easing", "motion design", "web animation", "prefers-reduced-motion", "storyboard", "parallax", "loading animation", "hover effect", "micro-interaction".
data-intensive-patterns
booklib-ai/booklib
Generate and review data-intensive application code using patterns from Martin Kleppmann's "Designing Data-Intensive Applications." Use this skill whenever the user asks about data storage engines, replication, partitioning, transactions, distributed systems, batch or stream processing, encoding/serialization, consistency models, consensus, event sourcing, CQRS, change data capture, or anything related to building reliable, scalable, and maintainable data systems. Trigger on phrases like "data-intensive", "replication", "partitioning", "sharding", "LSM-tree", "B-tree", "transaction isolation", "distributed consensus", "stream processing", "batch processing", "event sourcing", "CQRS", "CDC", "change data capture", "serialization format", "schema evolution", "consensus algorithm", "leader election", "total order broadcast", or "data pipeline."
data-pipelines
booklib-ai/booklib
Apply Data Pipelines Pocket Reference practices (James Densmore). Covers Infrastructure (Ch 1-2: warehouses, lakes, cloud), Patterns (Ch 3: ETL, ELT, CDC), DB Ingestion (Ch 4: MySQL, PostgreSQL, MongoDB, full/incremental), File Ingestion (Ch 5: CSV, JSON, cloud storage), API Ingestion (Ch 6: REST, pagination, rate limiting), Streaming (Ch 7: Kafka, Kinesis, event-driven), Storage (Ch 8: Redshift, BigQuery, Snowflake), Transforms (Ch 9: SQL, Python, dbt), Validation (Ch 10: Great Expectations, schema checks), Orchestration (Ch 11: Airflow, DAGs, scheduling), Monitoring (Ch 12: SLAs, alerting), Best Practices (Ch 13: idempotency, backfilling, error handling). Trigger on "data pipeline", "ETL", "ELT", "data ingestion", "Airflow", "dbt", "data warehouse", "Kafka streaming", "CDC", "data orchestration".
design-patterns
booklib-ai/booklib
Apply and review GoF design patterns from Head First Design Patterns. Use for Creational patterns (Factory Method, Abstract Factory, Singleton, Builder, Prototype), Structural patterns (Adapter, Bridge, Composite, Decorator, Facade, Flyweight, Proxy), Behavioral patterns (Chain of Responsibility, Command, Interpreter, Iterator, Mediator, Memento, Observer, State, Strategy, Template Method, Visitor), compound patterns (MVC), and OO design principles. Trigger on "design pattern", "GoF", "Gang of Four", "factory", "singleton", "observer", "strategy", "decorator", "adapter", "facade", "proxy", "composite", "command", "iterator", "state", "template method", "builder", "prototype", "bridge", "flyweight", "mediator", "memento", "visitor", "chain of responsibility", "interpreter", "MVC", "refactor to pattern", or "code smells."
