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deployment-procedures部署 procedures

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

774

周安装

31

GitHub Stars

公开资料未说明

下载量

250
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

2

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:deployment-procedures(部署 procedures)
来源仓库:https://github.com/xenitv1/claude-code-maestro
仓库路径:skills/deployment-procedures
安装命令:
npx skills add xenitv1/claude-code-maestro --skill "deployment-procedures"
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add xenitv1/claude-code-maestro --skill "deployment-procedures"

简介

用于辅助云资源、部署和基础设施运维自动化。

  • 适合检查配置、整理部署步骤或分析资源状态。
  • 需明确目标环境、账号权限和资源组,区分测试与生产。
  • 涉及删除或修改网络配置时应先评估影响范围。
  • 建议在沙箱环境中验证操作后再应用于生产。deployment-procedures 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Deployment Procedures

Deployment principles and decision-making for safe production releases. Learn to THINK, not memorize scripts.

⚠️ How to Use This Skill

This skill teaches deployment principles, not bash scripts to copy.

  • Every deployment is unique
  • Understand the WHY behind each step
  • Adapt procedures to your platform

1. Platform Selection

Decision Tree

What are you deploying?
│
├── Static site / JAMstack
│   └── Vercel, Netlify, Cloudflare Pages
│
├── Simple web app
│   ├── Managed → Railway, Render, Fly.io
│   └── Control → VPS + PM2/Docker
│
├── Microservices
│   └── Container orchestration
│
└── Serverless
    └── Edge functions, Lambda

Each Platform Has Different Procedures

PlatformDeployment Method
Vercel/NetlifyGit push, auto-deploy
Railway/RenderGit push or CLI
VPS + PM2SSH + manual steps
DockerImage push + orchestration
Kuberneteskubectl apply

2. Pre-Deployment Principles

The 4 Verification Categories

CategoryWhat to Check
Code QualityTests passing, linting clean, reviewed
BuildProduction build works, no warnings
EnvironmentEnv vars set, secrets current
SafetyBackup done, rollback plan ready

Pre-Deployment Checklist

  • All tests passing
  • Code reviewed and approved
  • Production build successful
  • Environment variables verified
  • Database migrations ready (if any)
  • Rollback plan documented
  • Team notified
  • Monitoring ready

3. Deployment Workflow Principles

The 5-Phase Process

1. PREPARE
   └── Verify code, build, env vars

2. BACKUP
   └── Save current state before changing

3. DEPLOY
   └── Execute with monitoring open

4. VERIFY
   └── Health check, logs, key flows

5. CONFIRM or ROLLBACK
   └── All good? Confirm. Issues? Rollback.

Phase Principles

PhasePrinciple
PrepareNever deploy untested code
BackupCan't rollback without backup
DeployWatch it happen, don't walk away
VerifyTrust but verify
ConfirmHave rollback trigger ready

4. Post-Deployment Verification

What to Verify

CheckWhy
Health endpointService is running
Error logsNo new errors
Key user flowsCritical features work
PerformanceResponse times acceptable

Verification Window

  • First 5 minutes: Active monitoring
  • 15 minutes: Confirm stable
  • 1 hour: Final verification
  • Next day: Review metrics

5. Rollback Principles

When to Rollback

SymptomAction
Service downRollback immediately
Critical errorsRollback
Performance >50% degradedConsider rollback
Minor issuesFix forward if quick

Rollback Strategy by Platform

PlatformRollback Method
Vercel/NetlifyRedeploy previous commit
Railway/RenderRollback in dashboard
VPS + PM2Restore backup, restart
DockerPrevious image tag
K8skubectl rollout undo

Rollback Principles

  1. Speed over perfection: Rollback first, debug later
  2. Don't compound errors: One rollback, not multiple changes
  3. Communicate: Tell team what happened
  4. Post-mortem: Understand why after stable

6. Zero-Downtime Deployment

Strategies

StrategyHow It Works
RollingReplace instances one by one
Blue-GreenSwitch traffic between environments
CanaryGradual traffic shift

Selection Principles

ScenarioStrategy
Standard releaseRolling
High-risk changeBlue-green (easy rollback)
Need validationCanary (test with real traffic)

7. Emergency Procedures

Service Down Priority

  1. Assess: What's the symptom?
  2. Quick fix: Restart if unclear
  3. Rollback: If restart doesn't help
  4. Investigate: After stable

Investigation Order

CheckCommon Issues
LogsErrors, exceptions
ResourcesDisk full, memory
NetworkDNS, firewall
DependenciesDatabase, APIs

8. Anti-Patterns

❌ Don't✅ Do
Deploy on FridayDeploy early in week
Rush deploymentFollow the process
Skip stagingAlways test first
Deploy without backupBackup before deploy
Walk away after deployMonitor for 15+ min
Multiple changes at onceOne change at a time

9. Decision Checklist

Before deploying:

  • Platform-appropriate procedure?
  • Backup strategy ready?
  • Rollback plan documented?
  • Monitoring configured?
  • Team notified?
  • Time to monitor after?

10. Best Practices

  1. Small, frequent deploys over big releases
  2. Feature flags for risky changes
  3. Automate repetitive steps
  4. Document every deployment
  5. Review what went wrong after issues
  6. Test rollback before you need it

Remember: Every deployment is a risk. Minimize risk through preparation, not speed.

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

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

30.83%
按下载量换算77

trae

23.22%
按下载量换算58

OpenCode

18.17%
按下载量换算45

Cursor

12.49%
按下载量换算31

github-copilot

8.25%
按下载量换算21

Antigravity

3.63%
按下载量换算9

安全审计

暂无安全审计结果可展示。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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