From sproutdb
SproutDB query language, schema design, and C# integration reference. ALWAYS use this skill when writing ANY code that touches SproutDB — queries, migrations, table design, upserts, follows/joins, TTL, indexes, auth, or ISproutDatabase/ISproutServer usage. Also trigger when the user mentions SproutDB, sprout queries, or references SproutDB tables/namespaces. SproutDB has a custom query language that is NOT SQL — do not guess syntax, always consult this skill first. Even for simple queries, the syntax differs enough from SQL that checking is essential.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sproutdb:sproutdbThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
SproutDB is a custom embedded/networked database with its own query language (NOT SQL).
SproutDB is a custom embedded/networked database with its own query language (NOT SQL). Never guess syntax — always check the reference.
| Task | Read |
|---|---|
| Writing queries (get, upsert, delete, create table, etc.) | references/query-language.md |
| Designing tables, choosing types, modeling relationships | references/schema-design.md |
| C# integration (DI, migrations, ISproutDatabase, responses) | references/csharp-integration.md |
upsert table {key: 'val'} with JSON-like bodyget table where ... not select * from table where ...follow source.col -> target.col as aliascreate table t (name string 100) not (name string(100))## — not -- or /* */'hello' not "hello"add column, rename column, alter column as separate commandsnpx claudepluginhub bernhardpollerspoeck/llm-marketplace --plugin sproutdbAdvises on database selection, schema design, indexing, query optimization, and migrations for SQL/NoSQL databases like PostgreSQL, MySQL, MongoDB, Redis, and ORMs including Prisma, Drizzle.
Guides database design, SQL/NoSQL querying, schema modeling, migrations, optimization, and operations across relational and non-relational systems.
Teaches SQL basics, database types (PostgreSQL, SQLite, MongoDB), ORMs like Prisma, schemas, migrations, and relationships for data modeling.