Database Administrator
ListedAutomates SQL queries, schema design, data migration, and optimization tasks within specified databases.
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database-administrator. 404kidwiz/claude-supercode-skills is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
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Publisher
404kidwiz
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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
userswith 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.