argocd-gitops
argocd-gitops is an engineering AI skill with a core value of Implement GitOps with ArgoCD for declarative Kubernetes deployments. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Implement GitOps with ArgoCD for declarative Kubernetes deployments.
Quick Facts
mkdir -p ./skills/argocd-gitops && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/argocd-gitops/SKILL.md -o ./skills/argocd-gitops/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# ArgoCD GitOps
Implement declarative continuous delivery for Kubernetes with ArgoCD.
When to Use This Skill
Use this skill when:
- Implementing GitOps workflows for Kubernetes
- Automating deployments from Git repositories
- Managing multiple environments declaratively
- Implementing progressive delivery strategies
- Synchronizing cluster state with Git
Prerequisites
- Kubernetes cluster with ArgoCD installed
- kubectl configured
- Git repository for manifests
- ArgoCD CLI (optional)
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
# Port forward to access UI
kubectl port-forward svc/argocd-server -n argocd 8080:443
# Login with CLI
argocd login localhost:8080Application Definition
Basic Application
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: myapp
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/myapp-manifests.git
targetRevision: main
path: environments/production
destination:
server: https://kubernetes.default.svc
namespace: myapp
syncPolicy:
automated:
prune: true
selfHeal: true
syncOptions:
- CreateNamespace=trueHelm Application
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: myapp-helm
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/myapp-chart.git
targetRevision: main
path: charts/myapp
helm:
valueFiles:
- values.yaml
- values-production.yaml
parameters:
- name: replicaCount
value: "3"
- name: image.tag
value: "2.0.0"
destination:
server: https://kubernetes.default.svc
namespace: myapp
syncPolicy:
automated:
prune: true
selfHeal: trueKustomize Application
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: myapp-kustomize
namespace: argocd
spec:
project: default
source:
repoURL: https://github.com/org/myapp-manifests.git
targetRevision: main
path: overlays/production
kustomize:
images:
- myapp=myregistry/myapp:2.0.0
destination:
server: https://kubernetes.default.svc
namespace: myappProjects
apiVersion: argoproj.io/v1alpha1
kind: AppProject
metadata:
name: myproject
namespace: argocd
spec:
description: My Project
sourceRepos:
- https://github.com/org/*
destinations:
- namespace: myapp-*
server: https://kubernetes.default.svc
clusterResourceWhitelist:
- group: ''
kind: Namespace
namespaceResourceWhitelist:
- group: '*'
kind: '*'
roles:
- name: developer
description: Developer role
policies:
- p, proj:myproject:developer, applications, get, myproject/*, allow
- p, proj:myproject:developer, applications, sync, myproject/*, allow
groups:
- developersApplication Sets
Git Generator
apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
name: myapp-environments
namespace: argocd
spec:
generators:
- git:
repoURL: https://github.com/org/myapp-manifests.git
revision: main
directories:
- path: environments/*
template:
metadata:
name: 'myapp-{{path.basename}}'
spec:
project: default
source:
repoURL: https://github.com/org/myapp-manifests.git
targetRevision: main
path: '{{path}}'
destination:
server: https://kubernetes.default.svc
namespace: 'myapp-{{path.basename}}'
syncPolicy:
automated:
prune: true
selfHeal: trueList Generator
apiVer🎯 Best For
- Claude users
- AI users
💡 Use Cases
- Using argocd-gitops in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply argocd-gitops to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install argocd-gitops?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/argocd-gitops/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.