Generate type-safe SQL query builders from annotated Go structs.
npx skills add https://github.com/tmoeish/tsq --skill tsq
Please help me install this Agent Skill. Skill: tsq Source: https://github.com/tmoeish/tsq/tree/main/skills/tsq Command: npx skills add https://github.com/tmoeish/tsq --skill tsq
This Skill eliminates the tedious, error-prone work of manually writing and maintaining raw SQL string helpers in Go projects, reducing runtime database errors and boilerplate code for data access layers.
Use the tsq skill to add type-safe SQL querying to your Go project by annotating your database structs with @TABLE, running the tsq fmt and tsq gen commands, and building queries with the fluent TSQ DSL.
High-intent search queries and answers about installing and using this skill.
You can generate type-safe SQL queries in Go by annotating your database structs with @TABLE tags and running code generation commands. This produces a fluent query builder DSL and CRUD helpers that catch invalid column references at compile time, eliminating handwritten SQL string errors.
Type-safe code generation works by reading annotated Go structs to automatically generate table metadata, CRUD helpers, and pagination utilities. You use the generated fluent TSQ DSL to compose SQL queries with compile-time safety, ensuring invalid query structures are caught before runtime.
Yes, this Go query builder supports complex paginated queries, joins, and transactions. It generates the necessary metadata and helpers from your annotated structs, allowing you to build dialect-aware SQL execution flows with optimistic locking and soft-delete support without manual SQL maintenance.
The best way to eliminate runtime database errors from handwritten SQL is to use a type-safe query builder that generates code directly from Go structs. This approach validates column references and query structures during compilation, preventing invalid SQL from reaching your database at runtime.
Yes, the generated query builder integrates with standard Go database drivers and supports dialect-aware SQL execution. It automatically adapts the generated SQL syntax to match your specific database dialect while maintaining type safety across all CRUD operations and complex queries.
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