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Database Administrator

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404kidwiz·vlatest·database

Automates SQL queries, schema design, data migration, and optimization tasks within specified databases.

Install on your platform

This skill no longer installs under the name database-administrator. 404kidwiz/claude-supercode-skills is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

404kidwiz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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About this skill

The database-administrator skill empowers AI agents to manage relational databases by executing complex SQL queries, creating and altering table structures, and performing data manipulation tasks. It bridges the gap between high-level natural language requests and precise database operations, allowing agents to interact directly with your data infrastructure.

When to use it

  • Automating routine maintenance tasks like generating daily reports or cleaning up stale records.
  • Rapidly prototyping database schemas by defining tables, columns, and relationships via text prompts.
  • Troubleshooting data integrity issues by querying logs or analyzing specific datasets for anomalies.
  • Extracting aggregated insights from large datasets without requiring manual SQL writing.

Key capabilities

  • Executing SELECT, INSERT, UPDATE, and DELETE statements based on natural language instructions.
  • Creating new database tables with specified columns, data types, and constraints.
  • Modifying existing schema structures through ALTER TABLE commands.
  • Generating optimized SQL queries for complex filtering, joining, and sorting operations.

Example prompts

  • "Create a table named users with fields for id, email, and created_at timestamp."
  • "Select the total revenue per month from the sales table where the status is 'completed'."
  • "Update all user records where the last login was more than 90 days ago to set their status as inactive."

Tips & gotchas

Ensure your AI agent has explicit read/write permissions configured for the target database before attempting schema changes or data modifications. While this skill handles standard SQL dialects effectively, complex stored procedures or vendor-specific extensions may require additional context or manual verification.