For the complete documentation index, see llms.txt. This page is also available as Markdown.

Suggested Prompts & Use Cases

Example prompts that put Decube's catalog, lineage, and quality context to work in your AI client.

These prompts work today over the MCP server's read, write, and action tools. Ask them in plain English from any connected client, use your own asset, schema, or metric names in place of the examples, and Decube returns results scoped to your existing permissions. Write and action prompts ask for your confirmation before anything changes.

For data engineers

  • "Why did the monitor of the sales table from the Snowflake_Data source fail recently? Give me the root cause using incident and quality signals."

  • "What depends on the created_at column of the sales table before I change it?"

  • "Are there any freshness breaches on my assets right now?"

  • "List the open critical incidents on the orders table today."

  • "Trigger a profiling run on the customer_id column of the customers table."

  • "Run the freshness monitor on the orders table now."

For data analysts

  • "What tables do we have on customer churn?"

  • "What is the official definition and owner for the metric Net Revenue?"

  • "Is the customers table fresh and complete before I build a report on it?"

  • "Who owns the sales schema, and how do I reach them?"

  • "Can I trust the numbers in the Monthly Revenue dashboard before I present this?"

  • "Are there nulls or outliers in the customer_id column?"

For data governance or data stewards

  • "Is my organisation ready for an OJK audit? Generate a report."

  • "Recommend me monitors for the Snowflake source. Create the monitors once I've approved them."

  • "Which assets have no assigned owner? Give me a prioritized list."

  • "Show me lineage evidence for Net Revenue in this report."

  • "Which of our assets are already classified as PII?"

  • "Look at source X and suggest me descriptions for all tables in public schema. Let me review the suggestions. Once I approve the changes, proceed to write them for me."

  • "Assign jane@company.com as the owner of the customers table."

For data and platform leaders

  • "Is my organisation ready for an OJK audit? Generate a report."

  • "What is the quality health of my revenue tables from <source>?"

  • "Are our PII assets classified?"

Some of these questions span multiple assets, so your AI client may make several tool calls to build the full answer. Lineage checks in particular return one hop at a time, so ask a follow-up question to walk further upstream or downstream.

Write and action prompts ask you to confirm before anything changes, and every change is attributed to you in Decube's audit trail.

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