db-orchestrator

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

18|4|Updated Jun 16, 2026
One-click install
npx skills add https://github.com/Hainrixz/claude-db --skill db-orchestrator
Or copy as Structured Prompt for Agent
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.