Skill-Details

devops-automation

Direct DevOps automation skill covering CI/CD, monitoring, incidents, infrastructure, and deployments.

ÜbereinstimmungDirektGeprüft für devops
Quelleclaude-office-skills/skillsExterne Quelle
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SKILL.md

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---
name: devops-automation
description: "DevOps and IT Ops automation - CI/CD, monitoring, incident management, and infrastructure workflows"
version: "1.0.0"
author: claude-office-skills
license: MIT

category: devops
tags:
  - devops
  - ci-cd
  - monitoring
  - incident
  - automation
department: Engineering

models:
  recommended:
    - claude-sonnet-4

mcp:
  server: devops-mcp
  tools:
    - github_api
    - jenkins_trigger
    - aws_cli
    - kubernetes_api

capabilities:
  - ci_cd_pipelines
  - monitoring_alerts
  - incident_management
  - infrastructure_automation
  - deployment_workflows

languages:
  - en
  - zh

related_skills:
  - slack-workflows
  - telegram-bot
  - ai-agent-builder
---

# DevOps Automation

Automate DevOps workflows including CI/CD pipelines, monitoring, incident management, and infrastructure operations. Based on n8n's IT Ops workflow templates.

## Overview

This skill covers:
- CI/CD pipeline automation
- Monitoring and alerting
- Incident management
- Infrastructure automation
- Deployment workflows

---

## CI/CD Automation

### GitHub Actions Integration

```yaml
workflow: "GitHub CI/CD Notifications"

triggers:
  - github_push
  - github_pull_request
  - github_workflow_run
  
on_push:
  action:
    - trigger_ci: if_main_branch
    - notify_slack:
        channel: "#deployments"
        message: |
          📦 *New Push to {branch}*
          
          Commit: `{commit_sha_short}`
          Author: {author}
          Message: {commit_message}
          
          [View Diff]({compare_url})

on_pr_opened:
  action:
    - notify_slack:
        channel: "#code-review"
        message: |
          🔀 *New Pull Request*
          
          Title: {pr_title}
          Author: {author}
          Branch: {head} → {base}
          
          [Review PR]({pr_url})
    - assign_reviewers: based_on_codeowners
    - run_ci_checks

on_workflow_complete:
  action:
    - notify_slack:
        message: |
          {status_emoji} *Build {status}*
          
          Workflow: {workflow_name}
          Branch: {branch}
          Duration: {duration}
          
          {if_failed: [View Logs]({logs_url})}
```

### Deployment Pipeline

```yaml
deployment_pipeline:
  stages:
    build:
      trigger: push_to_main
      steps:
        - checkout_code
        - install_dependencies
        - run_tests
        - build_artifact
        - push_to_registry
        
    staging:
      trigger: build_success
      steps:
        - deploy_to_staging
        - run_integration_tests
        - notify_qa
        
    production:
      trigger: manual_approval
      steps:
        - create_backup
        - deploy_to_production
        - run_smoke_tests
        - notify_team
        
  rollback:
    trigger: deployment_failed OR manual
    steps:
      - revert_to_previous
      - notify_team
      - create_incident
```

---

## Monitoring & Alerting

### Alert Routing

```yaml
alert_routing:
  sources:
    - prometheus
    - datadog
    - cloudwatch
    - new_relic
    
  severity_levels:
    critical:
      response_time: 5_minutes
      channels: [pagerduty, slack_urgent, sms]
      escalation: immediate
      
    high:
      response_time: 15_minutes
      channels: [slack_alerts, email]
      escalation: after_15_minutes
      
    medium:
      response_time: 1_hour
      channels: [slack_alerts]
      
    low:
      response_time: 24_hours
      channels: [slack_logging]
      
  routing_rules:
    - if: service == "payments"
      team: payments_oncall
      severity_boost: +1
      
    - if: service == "auth"
      team: security_oncall
      
    - default:
      team: platform_oncall
```

### Alert Templates

```yaml
alert_templates:
  infrastructure:
    cpu_high:
      title: "🔥 High CPU Usage"
      body: |
        Server: {host}
        CPU: {cpu_percent}%
        Duration: {duration}
        
        Threshold: {threshold}%
        
        [View Dashboard]({grafana_url})
        
    memory_critica
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