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devops-orchestrator
by aiskillstore
Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
⭐ 102🍴 3📅 Jan 23, 2026
SKILL.md
name: devops-orchestrator description: Coordinates infrastructure, CI/CD, and deployment tasks. Use when provisioning infrastructure, setting up pipelines, configuring monitoring, or managing deployments. Applies devops-standard.md with DORA metrics.
DevOps Orchestrator Skill
Role
Acts as DevOps Lead, managing CI/CD, infrastructure, deployment, and monitoring.
Responsibilities
-
CI/CD Pipeline Management
- Build automation
- Test automation
- Deployment pipelines
- Release management
-
Infrastructure as Code
- Container orchestration
- Cloud resources
- Configuration management
- Environment provisioning
-
Monitoring & Observability
- Application monitoring
- Log aggregation
- Alerting rules
- Performance metrics
-
Context Maintenance
ai-state/active/devops/ ├── pipelines.json # CI/CD definitions ├── infrastructure.json # IaC resources ├── monitoring.json # Metrics & alerts └── tasks/ # Active DevOps tasks
Skill Coordination
Available DevOps Skills
ci-cd-skill- Pipeline creation and managementinfrastructure-skill- IaC deploymentmonitoring-skill- Observability setupsecurity-scan-skill- Security scanningdeployment-skill- Release management
Context Package to Skills
context:
task_id: "task-005-deployment"
environment: "production"
pipeline:
current: "build -> test -> deploy"
stages: ["build", "unit-test", "integration", "deploy"]
infrastructure:
provider: "AWS/Azure/GCP"
resources: ["containers", "database", "cache"]
monitoring:
tools: ["Prometheus", "Grafana", "ELK"]
sla: "99.9% uptime"
standards:
- "devops-standard.md"
- "security-baseline.md"
Task Processing Flow
-
Receive Task
- Identify deployment needs
- Check dependencies
- Review security requirements
-
Prepare Environment
- Provision infrastructure
- Configure services
- Set up monitoring
-
Deploy Application
- Run CI/CD pipeline
- Execute deployments
- Validate health
-
Monitor & Validate
- Check metrics
- Verify SLAs
- Test rollback
-
Document Changes
- Update runbooks
- Document procedures
- Update dashboards
DevOps Standards
CI/CD Checklist
- Automated builds
- Automated tests
- Security scanning
- Code quality checks
- Artifact versioning
- Rollback capability
Infrastructure Checklist
- Infrastructure as Code
- Immutable infrastructure
- Auto-scaling configured
- Backup strategy
- Disaster recovery
- Cost optimization
Monitoring Checklist
- Application metrics
- Infrastructure metrics
- Log aggregation
- Error tracking
- Alert rules defined
- Dashboards created
Security Checklist
- Vulnerability scanning
- Secrets management
- Network security
- Access control
- Audit logging
- Compliance checks
Integration Points
With Development Orchestrators
- Build triggers from code
- Test result integration
- Deployment approvals
- Feature flags
With Test Orchestrator
- Test automation in pipeline
- Performance test execution
- Security test integration
- Test environment management
With Human-Docs
Updates documentation:
- Deployment procedures
- Runbooks
- Incident response
- Architecture diagrams
Event Communication
Listening For
{
"event": "code.merged",
"branch": "main",
"commit": "abc123",
"requires_deployment": true
}
Broadcasting
{
"event": "deployment.completed",
"environment": "production",
"version": "1.2.3",
"status": "healthy",
"metrics": {
"response_time": "45ms",
"error_rate": "0.01%"
}
}
Deployment Strategies
Blue-Green Deployment
strategy:
type: blue-green
steps:
- Deploy to green environment
- Run smoke tests
- Switch traffic to green
- Monitor for issues
- Keep blue for rollback
Canary Deployment
strategy:
type: canary
steps:
- Deploy to 10% of servers
- Monitor metrics
- Gradually increase to 100%
- Rollback if errors spike
Rolling Deployment
strategy:
type: rolling
steps:
- Deploy to subset
- Health check
- Continue to next subset
- Complete all instances
Monitoring Strategy
Key Metrics
- Availability: Uptime percentage
- Performance: Response times
- Error Rate: Failed requests
- Throughput: Requests/second
- Saturation: Resource usage
Alert Levels
- P1 Critical: Service down
- P2 High: Performance degraded
- P3 Medium: Non-critical errors
- P4 Low: Warnings
Infrastructure Patterns
Container Orchestration
kubernetes:
deployment:
replicas: 3
strategy: RollingUpdate
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
Auto-scaling
autoscaling:
min_replicas: 2
max_replicas: 10
metrics:
- type: cpu
target: 70%
- type: memory
target: 80%
Success Metrics
- Deployment frequency > 1/day
- Lead time < 1 hour
- MTTR < 30 minutes
- Change failure rate < 5%
- Availability > 99.9%
Anti-Patterns to Avoid
❌ Manual deployments ❌ No rollback plan ❌ Missing monitoring ❌ Hardcoded configurations ❌ No security scanning ❌ Snowflake servers
Score
Total Score
60/100
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