From dak
Explores Cloud SQL for SQL Server database schemas, executes SQL queries, and monitors system performance via PromQL queries.
How this skill is triggered — by the user, by Claude, or both
Slash command
/dak:cloud-sql-sqlserver-dataThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
All scripts can be executed using Node.js. Replace `<param_name>` and
All scripts can be executed using Node.js. Replace <param_name> and
<param_value> with actual values.
Bash: node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell: node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Use this tool to execute SQL.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| sql | string | The sql to execute. | Yes |
Lists detailed schema information (object type, columns, constraints, indexes, triggers, comment) as JSON for user-created tables (ordinary or partitioned). Filters by a comma-separated list of names. If names are omitted, lists all tables in user schemas.
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| table_names | string | Optional: A | No | `` |
| : : : comma-separated : : : | ||||
| : : : list of table : : : | ||||
| : : : names. If : : : | ||||
| : : : empty, details : : : | ||||
| : : : for all tables : : : | ||||
| : : : will be listed. : : : | ||||
| output_format | string | Optional: Use | No | detailed |
| : : : 'simple' for : : : | ||||
| : : : names only or : : : | ||||
| : : : 'detailed' for : : : | ||||
| : : : full info. : : : |
npx claudepluginhub gemini-cli-extensions/data-agent-kit-starter-pack --plugin dakTroubleshoots slow queries and analyzes system-level PromQL metrics for Cloud SQL SQL Server instances using Google Cloud Monitoring.
Executes SQL queries, explores MySQL schemas, analyzes query execution plans, and monitors active queries. Helps debug performance and understand database structure.
Diagnoses SQL database in Fabric performance via sqlcmd against Query Store, DMVs, and Extended Events. Identifies top resource-consuming queries, blocking chains, missing indexes, and plan regressions.