// 🐉 [SRE] Use when you need to follow established SRE playbooks for GCP/GKE investigations, including infrastructure discovery and common mitigation steps.
| name | gcp-playbooks |
| description | 🐉 [SRE] Use when you need to follow established SRE playbooks for GCP/GKE investigations, including infrastructure discovery and common mitigation steps. |
| metadata | {"author":"Riccardo","version":"0.0.3","status":"draft"} |
This skill provides a collection of playbooks and reference materials for SREs to investigate and mitigate incidents on Google Cloud Platform. It focuses on mapping generic SRE concepts (discovery, mitigation, postmortem) to specific GCP/GKE actions.
Playbooks follow a deterministic naming convention based on the GCP API service name, located in the references/googleapis.com/ directory.
Example: run.md (for run.googleapis.com).
Each file should also explicitly list the full API name at the top.
Located at skills/gcp-playbooks/references/googleapis.com/README.md.
Use this to systematically identify the resources involved in an incident.
Located at skills/gcp-playbooks/references/googleapis.com/run.md.
Maps generic mitigations (rollback, fix forward, upsize, restart) to Cloud Run actions.
Located at skills/gcp-playbooks/references/googleapis.com/container.md.
Maps generic mitigations (rollback, fix forward, upsize, quarantine, restart) to GKE / Kubernetes actions.
Located at skills/gcp-playbooks/references/googleapis.com/cloudbuild.md.
gcp_resource_manager or the discovery playbook to find the relevant project and resources.references/googleapis.com/ using the short API name.🐉 [SRE] Use when the user wants to set up Google Managed MCP (OneMCP) servers for their Gemini CLI environment. Automates enabling services, MCP servers, generating API keys, and configuring ~/.gemini/settings.json.
🐉 Detects anomalies in time-series data from various sources.
🐉 Skill for interacting with and analyzing Google Cloud Logging and Error Reporting. Use this when you need to process large JSON logs from GCP or convert them to Apache format for easier analysis.
🐉 Fetches and parses time-series data from various sources.
🐉 Initial Google Cloud environment verification and authentication setup. Use when starting a new session to ensure correct identities across gcloud, ADC, and kubectl.
🐉 [SRE] 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.