Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
Implement declarative, Git-based continuous delivery for Kubernetes using ArgoCD or Flux CD, following OpenGitOps principles.
# 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
gitops-repo/
├── apps/
│ ├── production/
│ │ ├── app1/
│ │ │ ├── kustomization.yaml
│ │ │ └── deployment.yaml
│ │ └── app2/
│ └── staging/
├── infrastructure/
│ ├── ingress-nginx/
│ ├── cert-manager/
│ └── monitoring/
└── argocd/
├── applications/
└── projects/
# 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
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: {}
# 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
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
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
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
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
strategy:
blueGreen:
activeService: my-app
previewService: my-app-preview
autoPromotionEnabled: false
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
# Encrypt secret
kubeseal --format yaml < secret.yaml > sealed-secret.yaml
# Commit sealed-secret.yaml to Git
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
k8s-manifest-generator - For creating manifestshelm-chart-scaffolding - For packaging applications还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
中文简介正在准备中。当前显示原文说明。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
中文简介正在准备中。当前显示原文说明。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
中文简介正在准备中。当前显示原文说明。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
中文简介正在准备中。当前显示原文说明。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
中文简介正在准备中。当前显示原文说明。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
中文简介正在准备中。当前显示原文说明。