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db-types-precision

Audit database schema column types and precision for integrity and performance.

18|4|Updated Jun 16, 2026
Search Tags:#database#data integrity#performance optimization#type checking#schema audit
One-click install
npx skills add https://github.com/Hainrixz/claude-db --skill db-types-precision
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: db-types-precision
Source: https://github.com/Hainrixz/claude-db/tree/main/skills/db-types-precision
Command: npx skills add https://github.com/Hainrixz/claude-db --skill db-types-precision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill identifies potential issues with database column types and precision, helping to ensure data integrity and performance.

Core Features & Use Cases

  • Column Type Audit: Checks for appropriate data types for money, timestamps, and JSON columns.
  • Schema Integrity: Ensures that the schema is not hiding essential data in JSONb or using inappropriate character sets.
  • Performance & Scale: Evaluates the suitability of column types for performance and scalability.
  • Use Case: When setting up a new database or reviewing an existing one, this Skill can help catch issues that could lead to data corruption or performance bottlenecks.

Quick Start

Run the db-types-precision skill to audit the types and precision of your database columns.

Frequently Asked Questions about db-types-precision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit database column types and precision for performance optimization?▼

To audit database column types and precision, run an analysis of your schema to identify inappropriate data types and ensure data integrity. This process evaluates the suitability of column types for performance and scalability.

What database paradigms are supported for schema type checking and auditing?▼

Schema type checking and auditing applies to relational databases and handles various paradigms including SQL, document, key-value, and graph databases, ensuring data integrity across different database structures.

When do I need to perform a schema audit for data integrity?▼

You need to perform a schema audit when setting up a new database or reviewing an existing one. This helps catch issues with column types and precision that could lead to data corruption or performance bottlenecks.

What are common limitations when checking database schema for inappropriate character sets or JSONb usage?▼

When checking database schema, limitations include requiring database access and schema introspection capabilities. The audit focuses on identifying hidden data in JSONb or inappropriate character sets but depends on database accessibility.

Why does my database schema need precision optimization for performance and scale?▼

Database schema precision optimization is needed to evaluate the suitability of column types for performance and scalability. Inappropriate precision can cause performance bottlenecks and compromise essential data integrity.

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