gitops-workflow
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Best use case
gitops-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Teams using gitops-workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/05-devops-gitops/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gitops-workflow Compares
| Feature / Agent | gitops-workflow | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# GitOps Workflow
## 🤖 智能体与 MCP 增强 (Agent & MCP Enhancements)
本 Skill 支持并推荐配合特定的智能体角色和 MCP 工具使用,以获得最佳效果。
### 推荐智能体角色
* **DevOps Engineer**: 详见 [AGENTS.md](AGENTS.md)。
* 该角色专注于 IaC (基础设施即代码) 和自动化流水线。
* 启用后,AI 将严格遵循声明式 API 原则,避免命令式操作。
### 推荐 MCP 工具
* **Kubectl MCP**: 允许 AI 直接监控集群状态和调试 Pod。
* **Git/GitHub MCP**: 用于管理 GitOps 仓库的配置变更和 PR 流程。
* **mcp-feedback-enhanced**: 在配置自动同步策略 (Auto-Sync) 或处理敏感信息 (Secrets) 时,使用 `ask_followup_question` 确认用户的安全偏好和操作边界。
---
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
## Purpose
Implement declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD, following OpenGitOps principles.
## When to Use This Skill
- Set up GitOps for Kubernetes clusters
- Automate application deployments from Git
- Implement progressive delivery strategies
- Manage multi-cluster deployments
- Configure automated sync policies
- Set up secret management in GitOps
## OpenGitOps Principles
1. **Declarative** - Entire system described declaratively
2. **Versioned and Immutable** - Desired state stored in Git
3. **Pulled Automatically** - Software agents pull desired state
4. **Continuously Reconciled** - Agents reconcile actual vs desired state
## ArgoCD Setup
### 1. Installation
```bash
# Create namespace
kubectl create namespace argocd
# Install ArgoCD
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
# Get admin password
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d
```
**Reference:** See `references/argocd-setup.md` for detailed setup
### 2. Repository Structure
```
gitops-repo/
├── apps/
│ ├── production/
│ │ ├── app1/
│ │ │ ├── kustomization.yaml
│ │ │ └── deployment.yaml
│ │ └── app2/
│ └── staging/
├── infrastructure/
│ ├── ingress-nginx/
│ ├── cert-manager/
│ └── monitoring/
└── argocd/
├── applications/
└── projects/
```
### 3. Create Application
```yaml
# argocd/applications/my-app.yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: my-app
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/gitops-repo
targetRevision: main
path: apps/production/my-app
destination:
server: https://kubernetes.default.svc
namespace: production
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=true
```
### 4. App of Apps Pattern
```yaml
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: applications
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/gitops-repo
targetRevision: main
path: argocd/applications
destination:
server: https://kubernetes.default.svc
namespace: argocd
syncPolicy:
automated: {}
```
## Flux CD Setup
### 1. Installation
```bash
# Install Flux CLI
curl -s https://fluxcd.io/install.sh | sudo bash
# Bootstrap Flux
flux bootstrap github \
--owner=org \
--repository=gitops-repo \
--branch=main \
--path=clusters/production \
--personal
```
### 2. Create GitRepository
```yaml
apiVersion: source.toolkit.fluxcd.io/v1
kind: GitRepository
metadata:
name: my-app
namespace: flux-system
spec:
interval: 1m
url: https://github.com/org/my-app
ref:
branch: main
```
### 3. Create Kustomization
```yaml
apiVersion: kustomize.toolkit.fluxcd.io/v1
kind: Kustomization
metadata:
name: my-app
namespace: flux-system
spec:
interval: 5m
path: ./deploy
prune: true
sourceRef:
kind: GitRepository
name: my-app
```
## Sync Policies
### Auto-Sync Configuration
**ArgoCD:**
```yaml
syncPolicy:
automated:
prune: true # Delete resources not in Git
selfHeal: true # Reconcile manual changes
allowEmpty: false
retry:
limit: 5
backoff:
duration: 5s
factor: 2
maxDuration: 3m
```
**Flux:**
```yaml
spec:
interval: 1m
prune: true
wait: true
timeout: 5m
```
**Reference:** See `references/sync-policies.md`
## Progressive Delivery
### Canary Deployment with ArgoCD Rollouts
```yaml
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: my-app
spec:
replicas: 5
strategy:
canary:
steps:
- setWeight: 20
- pause: { duration: 1m }
- setWeight: 50
- pause: { duration: 2m }
- setWeight: 100
```
### Blue-Green Deployment
```yaml
strategy:
blueGreen:
activeService: my-app
previewService: my-app-preview
autoPromotionEnabled: false
```
## Secret Management
### External Secrets Operator
```yaml
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: db-credentials
spec:
refreshInterval: 1h
secretStoreRef:
name: aws-secrets-manager
kind: SecretStore
target:
name: db-credentials
data:
- secretKey: password
remoteRef:
key: prod/db/password
```
### Sealed Secrets
```bash
# Encrypt secret
kubeseal --format yaml < secret.yaml > sealed-secret.yaml
# Commit sealed-secret.yaml to Git
```
## Best Practices
1. **Use separate repos or branches** for different environments
2. **Implement RBAC** for Git repositories
3. **Enable notifications** for sync failures
4. **Use health checks** for custom resources
5. **Implement approval gates** for production
6. **Keep secrets out of Git** (use External Secrets)
7. **Use App of Apps pattern** for organization
8. **Tag releases** for easy rollback
9. **Monitor sync status** with alerts
10. **Test changes** in staging first
## Troubleshooting
**Sync failures:**
```bash
argocd app get my-app
argocd app sync my-app --prune
```
**Out of sync status:**
```bash
argocd app diff my-app
argocd app sync my-app --force
```
## Related Skills
- `k8s-manifest-generator` - For creating manifests
- `helm-chart-scaffolding` - For packaging applicationsRelated Skills
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