Skill Deployment Context

Koji Deployment Context Discovery

Always resolve context before running queries. Never assume resource names.

Step 1: Locate deployment_summary.yaml (if available)

This file is typically generated by the Koji deployment pipeline (e.g., as an Azure DevOps pipeline artifact) and stored at the repository root as ./deployment_summary.yaml. It should contain resource_group, aks_cluster_name, subscription_id, and monitoring resource names/IDs.

• If the file exists, open it and use its values as the source of truth for the deployment context.
• If the file does not exist (e.g., in a new or manually provisioned environment), skip to Steps 2–4 and resolve the deployment context directly from Azure.
• If the user needs help obtaining this file, offer to run az commands to discover the values and generate it for them.

Step 2: If subscription is missing

Run: az account show --query id -o tsv

Step 3: If deployment does not match the summary

Ask the user for the resource group or AKS cluster name.

Step 4: Discover monitoring resources dynamically

az monitor log-analytics workspace list --resource-group <RG> -o table
az resource list --resource-group <RG> --resource-type Microsoft.Monitor/accounts -o table
az resource list --resource-group <RG> --resource-type Microsoft.Dashboard/grafana -o table

Naming convention

Resources follow <prefix>-koji-*:

• Resource group: <prefix>-koji-rg-<suffix>
• AKS cluster: <prefix>-koji-aks
• Log Analytics: <prefix>-koji-logs
• Azure Monitor: <prefix>-koji-monitor
• Grafana: <prefix>-koji-grafana

MCP tools for context discovery

| Tool | Purpose |

|------|---------|

| aks_cluster_get | List/get AKS cluster details |

| aks_nodepool_get | List/get node pool details |

| monitor_table_list | List tables in a Log Analytics workspace |

Prerequisites: Node.js (npx) and an active az login session.