Best use case
deploy-staging is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
将当前分支部署到测试环境。当用户要求部署、发布到测试或在 staging 环境测试时使用
Teams using deploy-staging should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/deploy-staging/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How deploy-staging Compares
| Feature / Agent | deploy-staging | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
将当前分支部署到测试环境。当用户要求部署、发布到测试或在 staging 环境测试时使用
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 部署到测试环境
## 前置条件检查
执行部署前，必须验证：
1. 当前分支所有变更已提交
- 运行 `git status` 检查
- 如有未提交内容，提示用户先提交
2. 所有测试通过
- 运行 `npm test`
- 如测试失败，停止部署并报告失败原因
3. 代码已推送到远程仓库
- 运行 `git push`
- 确保远程分支是最新状态
## 部署流程
1. 构建生产版本
```bash
npm run build:staging
```
2. 运行部署脚本
```bash
./scripts/deploy-staging.sh
```
3. 等待部署完成
- 显示部署进度
- 捕获并显示错误信息
4. 验证部署
```bash
curl -f https://staging.example.com/health
```
5. 报告部署结果
- 成功：提供访问链接
- 失败：显示错误日志和回滚建议
## 错误处理
如果部署失败：
1. 保存错误日志到 `.logs/deploy-staging-{timestamp}.log`
2. 建议用户检查日志
3. 提供回滚命令：`./scripts/rollback-staging.sh`
## 部署后检查
部署成功后，提醒用户验证：
- 关键功能是否正常
- 数据库迁移是否成功
- 静态资源是否加载正常Related Skills
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