deployment-automation by aj-geddes/useful-ai-prompts
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill deployment-automation建立自动化部署流水线,以最少的人工干预和风险,安全可靠地将应用程序在开发、预发布和生产环境之间迁移。
最小工作示例:
# helm/Chart.yaml
apiVersion: v2
name: myapp
description: My awesome application
type: application
version: 1.0.0
# helm/values.yaml
replicaCount: 3
image:
repository: ghcr.io/myorg/myapp
pullPolicy: IfNotPresent
tag: "1.0.0"
service:
type: ClusterIP
port: 80
targetPort: 3000
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
autoscaling:
// ... (完整实现请参阅参考指南)
references/ 目录下的详细实现:
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触达数万 AI 开发者,精准高效
| 指南 | 内容 |
|---|
| Helm 部署图表 | Helm 部署图表 |
| GitHub Actions 部署工作流 | GitHub Actions 部署工作流 |
| ArgoCD 部署 | ArgoCD 部署 |
| 蓝绿部署 | 蓝绿部署 |
每周安装数
122
代码仓库
GitHub 星标数
121
首次出现
2026年1月21日
安全审计
安装于
opencode102
gemini-cli98
claude-code97
codex96
cursor92
github-copilot83
Establish automated deployment pipelines that safely and reliably move applications across development, staging, and production environments with minimal manual intervention and risk.
Minimal working example:
# helm/Chart.yaml
apiVersion: v2
name: myapp
description: My awesome application
type: application
version: 1.0.0
# helm/values.yaml
replicaCount: 3
image:
repository: ghcr.io/myorg/myapp
pullPolicy: IfNotPresent
tag: "1.0.0"
service:
type: ClusterIP
port: 80
targetPort: 3000
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
autoscaling:
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Helm Deployment Chart | Helm Deployment Chart |
| GitHub Actions Deployment Workflow | GitHub Actions Deployment Workflow |
| ArgoCD Deployment | ArgoCD Deployment |
| Blue-Green Deployment | Blue-Green Deployment |
Weekly Installs
122
Repository
GitHub Stars
121
First Seen
Jan 21, 2026
Security Audits
Gen Agent Trust HubPassSocketWarnSnykWarn
Installed on
opencode102
gemini-cli98
claude-code97
codex96
cursor92
github-copilot83
Azure Data Explorer (Kusto) 查询技能:KQL数据分析、日志遥测与时间序列处理
130,600 周安装