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Found 161 Skills
SQLiteData advanced patterns, @Selection column groups, single-table inheritance, recursive CTEs, database views, custom aggregates, TableAlias self-joins, JSON/string aggregation
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-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 migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy
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.
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.
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.
Unlock the surprising speed of SQLite in Flutter for building responsive UIs, showcasing its ability to handle large datasets with synchronous queries and optimized configurations.
Use when working with SQLiteData library (@Table, @FetchAll, @FetchOne macros) for SQLite persistence, queries, writes, migrations, or CloudKit private database sync.
Learn how to supercharge your SQLite databases with full-text search capabilities using the built-in fts5 extension, enabling efficient and powerful querying with the `MATCH` keyword.
Use pgmicro — an in-process PostgreSQL reimplementation backed by SQLite-compatible storage, embeddable as a library or CLI
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.