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Argocd Gitops

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BagelHole
argocd-gitops

Implement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories. Use when implementing GitOps workflows or continuous deployment to Kubernetes.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill nameargocd-gitops
Stars
1.1K
Forks
161
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Argocd Gitops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/devops/orchestration/argocd-gitops
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/devops/orchestration/argocd-gitops .claude/skills/argocd-gitops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Argocd Gitops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Argocd Gitops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Argocd Gitops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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

# Port forward to access UI
kubectl port-forward svc/argocd-server -n argocd 8080:443

# Login with CLI
argocd login localhost:8080

Application Definition

Basic Application

yaml
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=true

Helm Application

yaml
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: true

Kustomize Application

yaml
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: myapp

Projects

yaml
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:
        - developers

Application Sets

Git Generator

yaml
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: true

List Generator

yaml
apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
  name: myapp-clusters
  namespace: argocd
spec:
  generators:
    - list:
        elements:
          - cluster: production
            url: https://prod-cluster.example.com
          - cluster: staging
            url: https://staging-cluster.example.com
  template:
    metadata:
      name: 'myapp-{{cluster}}'
    spec:
      project: default
      source:
        repoURL: https://github.com/org/myapp-manifests.git
        targetRevision: main
        path: 'environments/{{cluster}}'
      destination:
        server: '{{url}}'
        namespace: myapp

Matrix Generator

yaml
apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
  name: myapp-matrix
  namespace: argocd
spec:
  generators:
    - matrix:
        generators:
          - git:
              repoURL: https://github.com/org/myapp-manifests.git
              revision: main
              directories:
                - path: apps/*
          - list:
              elements:
                - env: staging
                - env: production
  template:
    metadata:
      name: '{{path.basename}}-{{env}}'
    spec:
      project: default
      source:
        repoURL: https://github.com/org/myapp-manifests.git
        targetRevision: main
        path: '{{path}}/overlays/{{env}}'
      destination:
        server: https://kubernetes.default.svc
        namespace: '{{path.basename}}-{{env}}'

Sync Policies

Automated Sync

yaml
syncPolicy:
  automated:
    prune: true          # Delete resources not in Git
    selfHeal: true       # Revert manual changes
    allowEmpty: false    # Don't sync empty directories
  syncOptions:
    - CreateNamespace=true
    - PrunePropagationPolicy=foreground
    - PruneLast=true
  retry:
    limit: 5
    backoff:
      duration: 5s
      factor: 2
      maxDuration: 3m

Sync Waves

yaml
# In Kubernetes manifests
apiVersion: v1
kind: ConfigMap
metadata:
  name: myconfig
  annotations:
    argocd.argoproj.io/sync-wave: "-1"  # Sync first
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
  annotations:
    argocd.argoproj.io/sync-wave: "0"   # Sync second

Sync Hooks

yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: migration
  annotations:
    argocd.argoproj.io/hook: PreSync
    argocd.argoproj.io/hook-delete-policy: HookSucceeded
spec:
  template:
    spec:
      containers:
        - name: migrate
          image: myapp:latest
          command: ["./migrate.sh"]
      restartPolicy: Never

CLI Commands

bash
# List applications
argocd app list

# Get application details
argocd app get myapp

# Sync application
argocd app sync myapp

# Force sync (ignore differences)
argocd app sync myapp --force

# View diff
argocd app diff myapp

# Rollback
argocd app rollback myapp

# Delete application
argocd app delete myapp

# View logs
argocd app logs myapp

# Hard refresh (clear cache)
argocd app get myapp --hard-refresh

Repository Configuration

yaml
apiVersion: v1
kind: Secret
metadata:
  name: private-repo
  namespace: argocd
  labels:
    argocd.argoproj.io/secret-type: repository
stringData:
  url: https://github.com/org/private-repo.git
  username: git
  password: ghp_xxxx
---
# SSH key
apiVersion: v1
kind: Secret
metadata:
  name: private-repo-ssh
  namespace: argocd
  labels:
    argocd.argoproj.io/secret-type: repository
stringData:
  url: git@github.com:org/private-repo.git
  sshPrivateKey: |
    -----BEGIN OPENSSH PRIVATE KEY-----
    ...
    -----END OPENSSH PRIVATE KEY-----

Notifications

yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: argocd-notifications-cm
  namespace: argocd
data:
  service.slack: |
    token: $slack-token
  template.app-deployed: |
    message: Application {{.app.metadata.name}} is now {{.app.status.sync.status}}.
  trigger.on-deployed: |
    - when: app.status.operationState.phase in ['Succeeded']
      send: [app-deployed]

Common Issues

Issue: Sync Fails with Diff

Problem: Resources show differences but are correct Solution: Configure ignore differences

yaml
spec:
  ignoreDifferences:
    - group: apps
      kind: Deployment
      jsonPointers:
        - /spec/replicas

Issue: Repository Not Accessible

Problem: ArgoCD cannot clone repository Solution: Check repository secret, verify URL and credentials

Issue: Application Stuck OutOfSync

Problem: Application never becomes synced Solution: Check resource status, review events, verify manifests

Issue: Health Check Failing

Problem: Application shows degraded health Solution: Check custom health checks, verify probe configurations

Best Practices

  • Use ApplicationSets for multi-environment deployments
  • Implement sync waves for ordered deployments
  • Use projects to isolate applications
  • Configure notifications for deployment events
  • Implement proper RBAC with projects
  • Use health checks for deployment verification
  • Enable auto-pruning to remove deleted resources
  • Keep manifests in dedicated repositories

Related Skills

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Argocd Gitops AI skill do?

Implement GitOps with ArgoCD for declarative Kubernetes deployments. Configure applications, manage sync policies, implement progressive delivery, and automate deployments from Git repositories. Use when implementing GitOps workflows or continuous deployment to Kubernetes.

Why use Argocd Gitops on TypingMind?

Because you install it once and use it with any model. Argocd Gitops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Argocd Gitops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/devops/orchestration/argocd-gitops. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Argocd Gitops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Argocd Gitops?

As many as you like. As long as a model supports skills, you can use Argocd Gitops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Argocd Gitops AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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