gitops-workflow▌
wshobson/agents · updated Apr 8, 2026
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Declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD.
- ›Supports both ArgoCD and Flux CD with installation, configuration, and repository structure guidance for each
- ›Covers core GitOps patterns including App of Apps, automated sync policies with pruning and self-healing, and progressive delivery strategies (canary, blue-green)
- ›Includes secret management approaches using External Secrets Operator and Sealed Secrets to keep credentials out of Git
- ›Provides
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-ma
How to use gitops-workflow on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add gitops-workflow
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches gitops-workflow from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate gitops-workflow. Access the skill through slash commands (e.g., /gitops-workflow) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★58 reviews- ★★★★★Mia Patel· Dec 24, 2024
Solid pick for teams standardizing on skills: gitops-workflow is focused, and the summary matches what you get after install.
- ★★★★★Neel Martinez· Dec 24, 2024
Keeps context tight: gitops-workflow is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Dec 16, 2024
Solid pick for teams standardizing on skills: gitops-workflow is focused, and the summary matches what you get after install.
- ★★★★★Omar Torres· Dec 16, 2024
Useful defaults in gitops-workflow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Dec 8, 2024
Useful defaults in gitops-workflow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Olivia Jackson· Dec 4, 2024
gitops-workflow has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Liam Li· Dec 4, 2024
Registry listing for gitops-workflow matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakshi Patil· Nov 27, 2024
gitops-workflow is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Wang· Nov 23, 2024
gitops-workflow fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Henry Chawla· Nov 15, 2024
I recommend gitops-workflow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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