avav25/cloud-platforms
plugin/skills/cloud-platforms/SKILL.md
Use this skill when authoring or running a workflow that needs cloud-platform-specific commands, or when reviewing such workflows for platform coverage — as a knowledge module (not a workflow itself) providing platform-specific CLI commands, managed service patterns, networking, IAM, observability, and operational procedures across GCP, Azure, and AWS. Loaded by `/analyze-prod`, `/infra-change`, `/deploy-production`, and similar workflows.
$ install --global
skillsauthnpx skillsauth add avav25/ai-assets cloud-platformsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 23, 2026, 4:33 AM172.3s4 files scanned
SKILL.md
- name:
- cloud-platforms
- description:
- Use this skill when authoring or running a workflow that needs cloud-platform-specific commands, or when reviewing such workflows for platform coverage — as a knowledge module (not a workflow itself) providing platform-specific CLI commands, managed service patterns, networking, IAM, observability, and operational procedures across GCP, Azure, and AWS. Loaded by `/analyze-prod`, `/infra-change`, `/deploy-production`, and similar workflows.
- disable-model-invocation:
- true
Cloud Platforms
Pluggable cloud platform knowledge modules. Each resource file contains platform-specific patterns for one cloud provider.
How It Works
- Detect platform: Read the project's
CLAUDE.mdtech stack declaration to identify which cloud platform(s) are in use - Load the right module: Read the corresponding resource file(s) below
- Apply patterns: Use platform-specific CLI commands, service names, and operational patterns from the loaded module
Platform Detection Signals
| Signal in CLAUDE.md / Project | Platform | Resource File |
|---|---|---|
| GCP, Google Cloud, GKE, Cloud SQL, Cloud Build, gcloud, Artifact Registry | Google Cloud Platform | gcp-reference.md |
| Azure, AKS, Azure SQL, Azure DevOps, az CLI, ACR, Azure Monitor | Microsoft Azure | azure-reference.md |
| AWS, EKS, RDS, CodePipeline, aws CLI, ECR, CloudWatch | Amazon Web Services | aws-reference.md |
If CLAUDE.md does not declare a cloud platform, ask the user before proceeding with platform-specific operations.
If the project uses multi-cloud, load all relevant modules and apply patterns per service based on where it runs.
Module Structure
Each reference file follows a consistent structure:
- Core Platform — account/project structure, IAM, networking, secrets, tagging
- Container Orchestration — managed Kubernetes (GKE/AKS/EKS) patterns
- Managed Database — managed SQL service patterns and reliability
- CI/CD — platform-native build and deploy services
- Observability — monitoring, logging, alerting, dashboards
- CLI Reference — essential CLI commands for diagnostics and operations
- Security and Compliance — audit logging, encryption, network security
Integration
- Used by roles:
Agent(devops-engineer),Agent(sre-engineer),Agent(cloud-architect) - Used by workflows:
/analyze-prod,/bugfix,/infra-change,/deploy-production - Complements:
deployment-proceduresskill (rollback procedures)
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