🐉 Discover and map GCP infrastructure architecture including compute, networking, storage, and service dependencies.
🐉 Use when the user wants to set up Google Managed MCP (OneMCP) servers for their CLI environment. Automates enabling services, MCP servers, generating API keys, and configuring the MCP settings file for the active harness (Gemini, Antigravity, or Copilot…
🐉 Use when you need to follow established SRE playbooks for GCP/GKE investigations, including infrastructure discovery and common mitigation steps.
🐉 Manage Service Level Objectives (SLOs) on Google Cloud. Use when you need to discover Monitoring Services, list existing SLOs, or create new SLOs (Availability/Latency) via the REST API when gcloud commands are unavailable.
🐉 Skill for generating high-quality, annotated incident graphs for post-mortems using Python. Use this when the user needs to visualize an outage, show error rates, or correlate metrics with incident milestones.
🐉 To be used when you have a folder containing N Post Mortem files. This will help crunch data and maintain/update a POMO_AGGREGATED.md file.
🐉 Creates a PostMortem given enough context about an incident/outage. Will guide user to timeline, action items/bugs, and finally draft a Google Doc with the results.
🐉 The primary entrypoint for investigating production outages, orchestrating SRE response, and mitigating incidents on Google Cloud Platform (GKE, Cloud Run, etc.). Start here when an incident occurs.