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deploying-to-production部署到生产环境

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

14,292

周安装

358

GitHub Stars

171

下载量

2,596
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:deploying-to-production(部署到生产环境)
来源仓库:https://github.com/littleben/awesomeagentskills
仓库路径:skills/deploying-to-production
安装命令:
npx skills add https://github.com/littleben/awesomeagentskills --skill 'Deploying to Production'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/littleben/awesomeagentskills --skill 'Deploying to Production'

简介

用于辅助云资源、部署、容器和基础设施的运维自动化任务。

  • 适合检查配置、整理部署步骤、分析资源状态或生成排障思路。
  • 使用时需明确目标环境、账号权限、区域和资源组,区分本地与生产操作。
  • 涉及删除资源、重启服务或修改网络配置时,应先确认影响范围。
  • 安装方式:通过 GitHub 仓库添加,需确认云服务访问权限与安全策略。

SKILL.md

Deploying to Production

Automated deployment workflow for Next.js websites using GitHub and Vercel.

When to use this Skill

  • Creating a new website and need to deploy it
  • Setting up GitHub repository for version control
  • Deploying to Vercel production environment
  • User mentions: "deploy", "GitHub", "Vercel", "go live", "publish"

Deployment Workflow

Copy this checklist and track your progress:

Deployment Progress:
- [ ] Step 1: Pre-deployment validation (build + E-E-A-T check)
- [ ] Step 2: Create GitHub repository
- [ ] Step 3: Push code to GitHub
- [ ] Step 4: Deploy to Vercel
- [ ] Step 5: Post-deployment verification

Step 1: Pre-deployment validation

Run build and verify no errors:

cd "$PROJECT_DIR"
npm run build

CRITICAL: Only proceed if build succeeds with no errors.

Pre-deployment checklist - See CHECKLIST.md for complete list:

  • npm run build completes successfully
  • All environment variables configured
  • E-E-A-T elements present (About page, author info)
  • Core Web Vitals acceptable
  • SEO meta tags complete

Step 2: Create GitHub repository

Run the script to create a private GitHub repository:

bash scripts/create-github-repo.sh <project-name>

What this script does:

  • Creates a private GitHub repository
  • Initializes Git (if needed)
  • Commits all changes
  • Pushes to GitHub

If the script fails, see TROUBLESHOOTING.md.

Step 3: Verify GitHub push

Check the repository URL:

gh repo view --web

Verify all files are pushed correctly.

Step 4: Deploy to Vercel

Run the deployment script:

bash scripts/deploy-to-vercel.sh <project-name>

What this script does:

  • Links the project to Vercel
  • Deploys to production environment
  • Returns deployment URL

If deployment fails, see TROUBLESHOOTING.md.

Step 5: Post-deployment verification

Verify deployment:

  1. Visit the deployment URL
  2. Test core functionality:

- Homepage loads correctly - Navigation works - Core features functional

  1. Check Core Web Vitals (use PageSpeed Insights)
  2. Verify SEO meta tags (use browser inspector)

If issues found:

  • Review Vercel build logs: vercel logs
  • Check environment variables in Vercel dashboard
  • Verify DNS settings (if custom domain)
  • Return to Step 1 and fix issues

Only mark deployment complete when all verifications pass.

Script locations

All deployment scripts are in the scripts/ directory:

  • create-github-repo.sh - GitHub repository creation
  • deploy-to-vercel.sh - Vercel deployment

Important notes

Prerequisites:

  • GitHub CLI (gh) installed and authenticated
  • Vercel CLI installed and authenticated
  • Project must be in /Volumes/Time/go to wild/websites/ directory

Project naming convention:

  • Format: keyword-site-lang (e.g., pdf-converter-jp)
  • Use lowercase and hyphens only

Environment variables:

  • Configure in Vercel dashboard after first deployment
  • Required variables depend on project features (database, auth, etc.)

Next steps after deployment

  1. Set up monitoring:

- Add Google Analytics or Plausible - Configure Google Search Console - Set up Vercel Analytics

  1. Configure custom domain (if needed):

- Add domain in Vercel dashboard - Update DNS records - Wait for SSL certificate

  1. Enable automatic deployments:

- Push to main branch auto-deploys to production - Push to other branches creates preview deployments

For detailed troubleshooting, see TROUBLESHOOTING.md.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

32.22%
按下载量换算836

Antigravity

22.45%
按下载量换算583

Gemini CLI

19.9%
按下载量换算517

windsurf

11.67%
按下载量换算303

OpenCode

7.65%
按下载量换算199

Codex

3.86%
按下载量换算100

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源字段存在多来源差异,先按来源优先级自动处理,无法消解时进入异常复核队列。

来源信息

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