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Found 207 Skills
SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation
Use when working with SQLite databases in Bun. Covers Bun's built-in SQLite driver, database operations, prepared statements, and transactions with high performance.
Discover how to leverage SQLite's JSON support to build a NoSQL-like document store, complete with TTL-based expiration, within this powerful embedded database.
SQLite expert for WAL mode, query optimization, embedded patterns, and advanced features
Use when migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy
SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction
Learn how to use SQLite as a simple and efficient key/value store for your applications, offering benefits like single-file data containment, attachment capabilities, and easy integration with tools like Drift.
Use when writing or debugging SQLite FTS5 queries in Dart (snippet(), bm25(), MATCH) that return empty results or throw. Covers the alias trap (snippet/bm25 are top-level functions taking the table name, not methods on an alias) and the probe-first pattern to isolate SQL from app code.
Query SQLite databases, inspect schemas, and explain queries via MCP. Use when working with local SQLite databases.
PowerSync offline-first sync engine on SQLite for React Native - schema definition, watched queries, CRUD operations, backend connectors, sync rules, conflict resolution, attachments
sqlite-vec extension for vector similarity search in SQLite. Use when storing embeddings, performing KNN queries, or building semantic search features. Triggers on sqlite-vec, vec0, MATCH, vec_distance, partition key, float[N], int8[N], bit[N], serialize_float32, serialize_int8, vec_f32, vec_int8, vec_bit, vec_normalize, vec_quantize_binary, distance_metric, metadata columns, auxiliary columns.
Learn how to enhance your CMS like PocketBase with AI-powered content recommendations using text embeddings, SQLite, and k-nearest neighbor search for efficient and scalable related content suggestions.