001-commands-inventory
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Use when you need framework-agnostic SQL guidance — schema naming, relational table design, query readability, indexes, transactions, database security, migrations, testing, and monitoring — without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests
$ npx -y skills add jabrena/plinth --skill 704-technologies-sql --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/704-technologies-sqlContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when you need framework-agnostic SQL guidance — schema naming, relational table design, query readability, indexes, transactions, database security, migrations, testing, and monitoring — without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests
name: 704-technologies-sql description: Use when you need framework-agnostic SQL guidance — schema naming, relational table design, query readability, indexes, transactions, database security, migrations, testing, and monitoring — without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests such as Review SQL schema or migrations; Improve SQL query performance and readability; Design relational tables and indexes; Review database transaction, security, or monitoring practices. Part of Plinth Toolkit license: Apache-2.0 metadata: author: Juan Antonio Breña Moral version: 0.18.0
Help teams create maintainable, secure, and performant **SQL** for Java applications across relational database engines.
**What is covered in this Skill?**
**Scope:** Framework-agnostic SQL quality. For Java data-access APIs, defer to the matching JDBC, Spring Data JDBC, Panache, or Micronaut Data skill.
Keep recommendations at the SQL and database-design layer unless the user explicitly asks for Java framework integration. After editing this repository's XML sources, regenerate skills and verify the build.
1. **Read reference and assess database context**
Read `references/704-technologies-sql.md` and inspect current schema, migrations, SQL queries, tests, and database configuration before proposing changes.
2. **Identify dialect and operational constraints**
Confirm the target database engine, migration tool, data volume expectations, availability requirements, and compatibility constraints that shape the SQL design.
3. **Apply SQL-aligned changes**
Implement or refactor SQL artifacts following the reference patterns and project conventions, keeping Java framework integration out of scope unless explicitly requested.
4. **Run verification and report results**
Execute appropriate build, migration, SQL validation, and test checks; summarize what changed, what was verified, and any remaining database risks.
For detailed guidance, examples, and constraints, see [references/704-technologies-sql.md](references/704-technologies-sql.md).
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