A professional-grade database specialist for designing schemas, optimizing complex SQL queries, and managing zero-downtime migrations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install database-operations
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install database-operations using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The database-operations skill is a comprehensive toolkit for developers managing relational databases, specifically tailored for high-performance PostgreSQL environments. As a cornerstone of the Openclaw Skills ecosystem, it provides expert-level guidance on schema design, query performance tuning, and infrastructure monitoring. This skill prioritizes a measure first approach, ensuring that every optimization is backed by data from EXPLAIN ANALYZE and system statistics. By integrating this into your workflow, you can handle everything from complex full-text search implementation to selective denormalization with confidence.
Built for developers who need more than just basic CRUD operations, this tool within the Openclaw Skills framework excels at solving deep technical debt, such as N+1 query patterns and table bloat. Whether you are working with EF Core migrations in .NET or managing connection pools in Node.js, this skill ensures your database layer remains scalable, secure, and performant.
To utilize this skill within your environment, ensure you have access to a PostgreSQL instance and the necessary CLI tools. For .NET developers using Entity Framework Core, install the EF tools:
dotnet tool install --global dotnet-ef
Configure your connection string and ensure the pg_stat_statements extension is enabled in your PostgreSQL configuration for advanced monitoring capabilities as part of your Openclaw Skills integration.
The skill manages data across several specialized structures to ensure integrity and performance:
| Feature | Data Structure | Description |
|---|---|---|
| User Data | Relational Tables | Uses ENUMs, TIMESTAMPTZ, and CHECK constraints for integrity. |
| Audit Logs | JSONB & Triggers | Captures row-level changes with old/new value snapshots. |
| Search | TSVector | Pre-computed search vectors with GIN indexing for fast lookups. |
| Performance | pg_stat_statements | Tracks execution time, call frequency, and row counts. |
| Migrations | SQL / C# | Idempotent scripts and versioned migration files for schema evolution. |
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