Names the domain (SQLite databases in Python) and mentions some areas (state management, caching, async operations), but these are more like categories than concrete actions. It doesn't list specific actions like 'create tables', 'write migrations', or 'configure WAL mode'.

The 'what' is partially addressed (patterns for SQLite in Python), and the 'Triggers on:' clause serves as a partial 'when' equivalent. However, there's no explicit 'Use when...' clause describing scenarios, and the trigger list alone doesn't fully articulate when this skill should be selected over other database-related skills.

Includes a good set of natural trigger terms: 'sqlite', 'sqlite3', 'aiosqlite', 'local database', 'database schema', 'migration', 'wal mode'. These cover both library names and conceptual terms users would naturally use.

The combination of SQLite + Python + specific libraries (aiosqlite, sqlite3) and specific concepts (WAL mode, migrations) creates a clear niche that is unlikely to conflict with general database skills or other language-specific database skills.

Every section is lean and purposeful. No unnecessary explanations of what SQLite is or how Python works. The tables efficiently convey comparison information, and code examples are minimal but complete.

Provides fully executable Python code for connection setup, transaction management, and WAL mode. CLI commands are copy-paste ready. The gotchas table gives specific, actionable solutions rather than vague advice.

Individual patterns are clear, but there's no sequenced workflow for setting up a new SQLite database from scratch (create → schema → configure pragmas → validate). The context manager pattern is shown but not integrated into a workflow showing when/how to use it with the connection pattern.

Clean overview with concise quick-start content, then clearly signaled one-level-deep references to schema patterns, async patterns, and migration patterns. Content is appropriately split between the overview and reference files.