db-orchestrator

Audit and score database schemas for integrity, performance, and scale.

18|4|Updated Jun 16, 2026

Search Tags:#database design #database security #performance analysis #database audit #schema integrity

Ready to run

npx skills add https://github.com/Hainrixz/claude-db --skill db-orchestrator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: db-orchestrator
Source: https://github.com/Hainrixz/claude-db/tree/main/skills/db-orchestrator
Command: npx skills add https://github.com/Hainrixz/claude-db --skill db-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for comprehensive and separate assessment of a database schema's design integrity and performance and scale, ensuring both are robust without compromise.

Core Features & Use Cases

Full Database Audit: Orchestrate an entire database audit to ensure the schema meets integrity and performance standards.
Multi-Paradigm Support: Evaluate against SQL, document, key-value, vector, time-series, and graph paradigms.
Separate Scoring: Assess separately and provide detailed scoring for Design & Integrity and Performance & Scale.
Use Case: When preparing for a major project milestone, use db-orchestrator to ensure your database design is solid, secure, and optimized for performance.

Quick Start

Invoke db-orchestrator to audit the schema of your database. Example command: audit my_database

Frequently Asked Questions about db-orchestrator

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

FAQPage Schema

How do I audit database schema integrity and performance before deployment?▼

You audit database schema integrity by orchestrating an analysis of in-memory schema definitions, scoring design, performance, and scale separately against modeling standards for safe deployment without requiring data access.

Does database schema auditing work for NoSQL and relational databases?▼

Yes, database schema auditing works for both relational and non-relational databases, supporting SQL, document, key-value, vector, time-series, and graph paradigms to evaluate schema design and performance standards.

Can I score database design and performance separately without accessing data?▼

Yes, you can score database design and performance separately without data access by performing detailed analysis on in-memory schema definitions to evaluate modeling, integrity, performance, and scale independently.

What is the best way to evaluate schema design for a major project milestone?▼

The best way to evaluate schema design for a major project milestone is to orchestrate a full database audit, ensuring your schema is solid, secure, and optimized for performance before deployment.

Do I need to provide data access for a database performance analysis?▼

No, you do not need to provide data access for a database performance analysis, because the audit performs detailed analysis on in-memory schema definitions using provided tools and analysis scripts instead.