data-intensive-patterns

data-intensive-patterns is a Design patterns & component architecture skill for AI agents, published by booklib-ai in the booklib repository on GitHub. Skillspace rates data-intensive-patterns B (85/100) and it passed the safety scan; the rating is based on static analysis only.

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."

Grade

B

Quality

85 / 100

Safety

Passed

GitHub stars

35

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