Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Senior Devops
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
skill openclawclawhub Free
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/cicd_pipeline_guide.md, references/deployment_strategies.md, references/infrastructure_as_code.md, scripts/deployment_manager.py, scripts/pipeline_generator.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.1.1
Provenance
- Publisher
- alirezarezvani
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Senior Devops
Complete toolkit for senior devops with modern tools and best practices.
Main Capabilities
This skill provides three core capabilities through automated scripts: # Script 1: Pipeline Generator โ scaffolds CI/CD pipelines for GitHub Actions or CircleCI python scripts/pipeline_generator.py ./app --platform=github --stages=build,test,deploy # Script 2: Terraform Scaffolder โ generates and validates IaC modules for AWS/GCP/Azure python scripts/terraform_scaffolder.py ./infra --provider=aws --module=ecs-service --verbose # Script 3: Deployment Manager โ orchestrates container deployments with rollback support python scripts/deployment_manager.py deploy --env=production --image=app:1.2.3 --strategy=blue-green
1. Pipeline Generator
Scaffolds CI/CD pipeline configurations for GitHub Actions or CircleCI, with stages for build, test, security scan, and deploy. Example โ GitHub Actions workflow: # .github/workflows/ci.yml name: CI/CD Pipeline on: push: branches: [main, develop] pull_request: branches: [main] jobs: build-and-test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Node.js uses: actions/setup-node@v4 with: node-version: '20' cache: 'npm' - run: npm ci - run: npm run lint - run: npm test -- --coverage - name: Upload coverage uses: codecov/codecov-action@v4 build-docker: needs: build-and-test runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Build and push image uses: docker/build-push-action@v5 with: push: ${{ github.ref == 'refs/heads/main' }} tags: ghcr.io/${{ github.repository }}:${{ github.sha }} deploy: needs: build-docker if: github.ref == 'refs/heads/main' runs-on: ubuntu-latest steps: - name: Deploy to ECS run: | aws ecs update-service \ --cluster production \ --service app-service \ --force-new-deployment Usage: python scripts/pipeline_generator.py <project-path> --platform=github|circleci --stages=build,test,deploy
2. Terraform Scaffolder
Generates, validates, and plans Terraform modules. Enforces consistent module structure and runs terraform validate + terraform plan before any apply. Example โ AWS ECS service module: # modules/ecs-service/main.tf resource "aws_ecs_task_definition" "app" { family = var.service_name requires_compatibilities = ["FARGATE"] network_mode = "awsvpc" cpu = var.cpu memory = var.memory container_definitions = jsonencode([{ name = var.service_name image = var.container_image essential = true portMappings = [{ containerPort = var.container_port protocol = "tcp" }] environment = [for k, v in var.env_vars : { name = k, value = v }] logConfiguration = { logDriver = "awslogs" options = { awslogs-group = "/ecs/${var.service_name}" awslogs-region = var.aws_region awslogs-stream-prefix = "ecs" } } }]) } resource "aws_ecs_service" "app" { name = var.service_name cluster = var.cluster_id task_definition = aws_ecs_task_definition.app.arn desired_count = var.desired_count launch_type = "FARGATE" network_configuration { subnets = var.private_subnet_ids security_groups = [aws_security_group.app.id] assign_public_ip = false } load_balancer { target_group_arn = aws_lb_target_group.app.arn container_name = var.service_name container_port = var.container_port } } Usage: python scripts/terraform_scaffolder.py <target-path> --provider=aws|gcp|azure --module=ecs-service|gke-deployment|aks-service [--verbose]
3. Deployment Manager
Orchestrates deployments with blue/green or rolling strategies, health-check gates, and automatic rollback on failure. Example โ Kubernetes blue/green deployment (blue-slot specific elements): # k8s/deployment-blue.yaml apiVersion: apps/v1 kind: Deployment metadata: name: app-blue labels: app: myapp slot: blue # slot label distinguishes blue from green spec: replicas: 3 selector: matchLabels: app: myapp slot: blue template: metadata: labels: app: myapp slot: blue spec: containers: - name: app image: ghcr.io/org/app:1.2.3 readinessProbe: # gate: pod must pass before traffic switches httpGet: path: /healthz port: 8080 initialDelaySeconds: 10 periodSeconds: 5 resources: requests: cpu: "250m" memory: "256Mi" limits: cpu: "500m" memory: "512Mi" Usage: python scripts/deployment_manager.py deploy \ --env=staging|production \ --image=app:1.2.3 \ --strategy=blue-green|rolling \ --health-check-url=https://app.example.com/healthz python scripts/deployment_manager.py rollback --env=production --to-version=1.2.2 python scripts/deployment_manager.py --analyze --env=production # audit current state
Resources
Pattern Reference: references/cicd_pipeline_guide.md โ detailed CI/CD patterns, best practices, anti-patterns Workflow Guide: references/infrastructure_as_code.md โ IaC step-by-step processes, optimization, troubleshooting Technical Guide: references/deployment_strategies.md โ deployment strategy configs, security considerations, scalability Tool Scripts: scripts/ directory
1. Infrastructure Changes (Terraform)
# Scaffold or update module python scripts/terraform_scaffolder.py ./infra --provider=aws --module=ecs-service --verbose # Validate and plan โ review diff before applying terraform -chdir=infra init terraform -chdir=infra validate terraform -chdir=infra plan -out=tfplan # Apply only after plan review terraform -chdir=infra apply tfplan # Verify resources are healthy aws ecs describe-services --cluster production --services app-service \ --query 'services[0].{Status:status,Running:runningCount,Desired:desiredCount}'
2. Application Deployment
# Generate or update pipeline config python scripts/pipeline_generator.py . --platform=github --stages=build,test,security,deploy # Build and tag image docker build -t ghcr.io/org/app:$(git rev-parse --short HEAD) . docker push ghcr.io/org/app:$(git rev-parse --short HEAD) # Deploy with health-check gate python scripts/deployment_manager.py deploy \ --env=production \ --image=app:$(git rev-parse --short HEAD) \ --strategy=blue-green \ --health-check-url=https://app.example.com/healthz # Verify pods are running kubectl get pods -n production -l app=myapp kubectl rollout status deployment/app-blue -n production # Switch traffic after verification kubectl patch service app-svc -n production \ -p '{"spec":{"selector":{"slot":"blue"}}}'
3. Rollback Procedure
# Immediate rollback via deployment manager python scripts/deployment_manager.py rollback --env=production --to-version=1.2.2 # Or via kubectl kubectl rollout undo deployment/app -n production kubectl rollout status deployment/app -n production # Verify rollback succeeded kubectl get pods -n production -l app=myapp curl -sf https://app.example.com/healthz || echo "ROLLBACK FAILED โ escalate"
Troubleshooting
Check the comprehensive troubleshooting section in references/deployment_strategies.md.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Scripts
- SKILL.md
- references/cicd_pipeline_guide.md
- references/deployment_strategies.md
- references/infrastructure_as_code.md
- scripts/deployment_manager.py
- scripts/pipeline_generator.py