gitops-workflow
About
This skill enables developers to implement GitOps workflows using ArgoCD and Flux for automated, declarative Kubernetes deployments. It provides guidance for setting up continuous reconciliation, managing multi-cluster deployments, and automating application deployments directly from Git. Use it when adopting GitOps practices or establishing declarative infrastructure management for Kubernetes.
Documentation
GitOps Workflow
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
- Declarative - Entire system described declaratively
- Versioned and Immutable - Desired state stored in Git
- Pulled Automatically - Software agents pull desired state
- Continuously Reconciled - Agents reconcile actual vs desired state
ArgoCD Setup
1. Installation
# 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
# 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
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
# 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
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
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:
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:
spec:
interval: 1m
prune: true
wait: true
timeout: 5m
Reference: See references/sync-policies.md
Progressive Delivery
Canary Deployment with ArgoCD Rollouts
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
strategy:
blueGreen:
activeService: my-app
previewService: my-app-preview
autoPromotionEnabled: false
Secret Management
External Secrets Operator
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
# Encrypt secret
kubeseal --format yaml < secret.yaml > sealed-secret.yaml
# Commit sealed-secret.yaml to Git
Best Practices
- Use separate repos or branches for different environments
- Implement RBAC for Git repositories
- Enable notifications for sync failures
- Use health checks for custom resources
- Implement approval gates for production
- Keep secrets out of Git (use External Secrets)
- Use App of Apps pattern for organization
- Tag releases for easy rollback
- Monitor sync status with alerts
- Test changes in staging first
Troubleshooting
Sync failures:
argocd app get my-app
argocd app sync my-app --prune
Out of sync status:
argocd app diff my-app
argocd app sync my-app --force
Related Skills
k8s-manifest-generator- For creating manifestshelm-chart-scaffolding- For packaging applications
Quick Install
/plugin add https://github.com/camoneart/claude-code/tree/main/gitops-workflowCopy and paste this command in Claude Code to install this skill
GitHub 仓库
Related Skills
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
business-rule-documentation
MetaThis skill provides standardized templates for systematically documenting business logic and domain knowledge following Domain-Driven Design principles. It helps developers capture business rules, process flows, decision trees, and terminology glossaries to maintain consistency between requirements and implementation. Use it when documenting domain models, creating business rule repositories, or bridging communication between business and technical teams.
Algorithmic Art Generation
MetaThis skill helps developers create algorithmic art using p5.js, focusing on generative art, computational aesthetics, and interactive visualizations. It automatically activates for topics like "generative art" or "p5.js visualization" and guides you through creating unique algorithms with features like seeded randomness, flow fields, and particle systems. Use it when you need to build reproducible, code-driven artistic patterns.
generating-unit-tests
MetaThis skill automatically generates comprehensive unit tests from source code when developers request test creation. It supports multiple testing frameworks like Jest, pytest, and JUnit, intelligently detecting the appropriate one or using a specified framework. Use it when asking to "generate tests," "create unit tests," or using the "gut" shortcut with file paths.
