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Found 197 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.
SQLite expert for WAL mode, query optimization, embedded patterns, and advanced features
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.
SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction
Use when migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy
Learn how to export your entire SQLite database schema, including tables and indexes, into runnable CREATE statements at runtime using Flutter and the `sqlite3` package.
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.
Guides the agent through migrating SQLite and SQL-style Capacitor plugins to @capgo/capacitor-fast-sql. Use when replacing bridge-based SQL plugins, adding encryption, preserving transactions, or moving key-value storage onto Fast SQL. Do not use for non-SQL storage, generic app upgrades, or plugins that already wrap Fast SQL.
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.
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.
Guidance for recovering data from corrupted or truncated SQLite database files through binary analysis and manual parsing. This skill applies when working with damaged SQLite databases that cannot be opened with standard tools, particularly when corruption is due to binary truncation, incomplete writes, or filesystem errors.