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skill-gcp-playbooks
SRE investigator for executing established GCP/GKE playbooks for infrastructure discovery and mitigation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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SRE investigator for executing established GCP/GKE playbooks for infrastructure discovery and mitigation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | skill-gcp-playbooks |
| description | SRE investigator for executing established GCP/GKE playbooks for infrastructure discovery and mitigation. |
| 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 {SKILL_DIR}/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.{SKILL_DIR}/references/googleapis.com/ using the short API name.Professional bootstrapper for Vercel-style Agentic Repositories using compressed AGENTS.md manifests.
Persistent SQLite-based cognitive layer for cross-session interaction logging and insight distillation.
Design lead for C4 structural documentation, Mermaid.js diagrams, and Architecture Decision Records (ADRs).
Specialist in core AWS infrastructure: EC2 compute, IAM identity, VPC networking, and RDS/Aurora databases.
5-phase migration engine for transitioning workloads from Google Cloud Platform to AWS architecture.
AI/ML infrastructure expert for SageMaker fine-tuning, HyperPod cluster management, and dataset evaluation.