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Found 11 Skills
Design bulk file and lake export as a B2B product surface - the two-camp choice between Parquet file-drops on object storage and native warehouse/lake sharing (Snowflake shares, Delta Sharing, linked datasets), the partitioning and schema-evolution contract across batches, delivery cadence and freshness commitments (full dump vs incremental vs CDC vs streaming), shared-bucket security with per-recipient credentials, egress cost allocation, and cross-border data residency. Use whenever the user mentions bulk export, data dumps to S3, Parquet, Snowflake shares, Delta Sharing, or export freshness SLAs - even if they never say "bulk data sharing". Do NOT use for live SQL endpoints - use samber/developer-platform-skills@sql-jdbc-access-design instead.
Columnar file patterns including partitioning, predicate pushdown, and schema evolution.
Schema design guide for polizy authorization. Use when defining relations, actions, action mappings, hierarchy propagation, or modifying authorization models. Covers direct, group, and hierarchy relation types.
Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
Use when working with Protocol Buffer (.proto) files, buf.yaml, buf.gen.yaml, or buf.lock. Covers proto design, buf CLI, gRPC/Connect services, protovalidate constraints, schema evolution, and troubleshooting lint/breaking errors.
Evolve your brain's schema pack. Add page types, propose new ones from corpus scans, backfill page.type on existing pages, audit pack health. Triggers when an agent notices untyped pages, custom domains needing typed entities (researcher, contract, deposition), or wants to see what types the pack declares.
Review Kafka schema changes (Avro, Protobuf, JSON Schema) for compatibility and evolution best practices using the Lenses MCP server. Detects breaking changes, missing defaults, schema drift and naming issues. Use when user says "review schema changes", "check schema compatibility", "will this schema break consumers" or asks about schema evolution. Do NOT use for creating new schemas from scratch or registering them in the cluster.
Protocol Buffers and Interface Definition Languages for service contracts
Specialized in database migrations and data seeding. Trigger this when creating tables, modifying schemas, or preparing initial data.
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: "real-time pipeline", "Kafka consumer", "streaming vs batch", "low latency ingestion". Do NOT use for batch integration patterns (use integration-patterns-skill) or pipeline orchestration (use data-orchestration-skill).