Cmdb Patterns

What it does

This skill provides a library of patterns specifically designed to help AI agents interact with and query Configuration Management Databases (CMDB). It enables agents to understand complex IT infrastructure relationships, retrieve asset data, and execute standard CMDB operations effectively.

When to use it

• Automating the discovery of dependencies between software applications and underlying hardware or network resources.
• Generating dynamic reports on asset lifecycle status, such as identifying servers nearing end-of-life.
• Validating configuration changes against baseline standards before deployment to prevent drift.
• Resolving complex incident root causes by tracing connections across multiple interconnected IT components.

Key capabilities

• Pattern-based querying for structured CMDB data retrieval.
• Navigation of hierarchical asset relationships and dependency graphs.
• Standardized interaction protocols for common CMDB schemas.
• Context-aware response generation based on infrastructure topology.

Example prompts

• "List all production servers that are dependent on the primary database cluster in our CMDB."
• "Retrieve the current configuration baseline for the network segment labeled 'Finance-DMZ'."
• "Identify any assets in the inventory that have not been updated or scanned in the last 90 days."

Tips & gotchas

Ensure your AI agent has read-only access to the specific CMDB instance before running discovery queries to avoid unintended write operations. Always validate the returned asset data against your organization's actual documentation, as CMDB records can become stale over time.