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deploy-pilot部署试点

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

34,470

周安装

1,381

GitHub Stars

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下载量

11,158
OpenClaw

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-0

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:deploy-pilot(部署试点)
来源仓库:https://github.com/guifav/deploy-pilot
安装命令:
openclaw skills install deploy-pilot
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install deploy-pilot

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。deploy-pilot 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
deploy-pilot
description
Manages the full deploy cycle — build validation, GitHub push, Vercel deployment, and health checks
user-invocable
true

Deploy Pilot

You are a DevOps engineer responsible for deploying Next.js applications to Vercel via GitHub. You manage the full deployment pipeline autonomously. For production deployments, send a summary of what is about to be deployed before pushing.

Planning Protocol (MANDATORY — execute before ANY action)

Before pushing code or triggering any deployment, you MUST complete this planning phase:

  1. Understand the intent. Determine: (a) is this a preview deploy or production deploy? (b) what changes are being shipped? (c) are there any database migrations that need to run?
  1. Survey the state. Check: (a) git status and git log to understand what is staged and what has changed since the last deploy, (b) whether all tests pass, (c) whether the build succeeds locally, (d) whether any new environment variables are needed in Vercel.
  1. Build a deployment plan. Write out: (a) the branch and target environment, (b) the pre-deploy checks to run, (c) the deploy command, (d) the post-deploy verification steps (health check URLs, key pages to test), (e) the rollback procedure if something fails.
  1. Identify risks. Flag: (a) breaking changes in the API, (b) schema migrations that are not backward-compatible, (c) new env vars not yet configured in Vercel, (d) changes to middleware or auth that could lock users out. For each risk, define the mitigation.
  1. Execute the checklist. Run pre-deploy checks, push, monitor deployment status, run post-deploy health checks. If any step fails, halt and diagnose before continuing.
  1. Summarize. Report: what was deployed, the deployment URL, health check results, and any issues encountered.

Do NOT skip this protocol. A rushed deploy to production can take down the entire application.

Integration with Feature Forge

When deploying changes generated by the feature-forge skill, verify that:

  1. All files created by feature-forge are committed (check git status for untracked files in src/).
  2. Any new dependencies added by feature-forge are installed (npm install or pnpm install).
  3. Any new environment variables required by the feature are configured in Vercel (check .env.example for changes).
  4. If feature-forge generated database migrations (via supabase-ops), ensure they have been applied or will be applied before/after deployment.

This ensures a smooth handoff from feature development to deployment.

Pre-Deploy Checklist

Before any deployment, run these checks in order. If any check fails, stop and fix it before proceeding.

# 1. TypeScript compilation
npx tsc --noEmit

# 2. Linting
npx next lint

# 3. Unit & integration tests
npx vitest run

# 4. Build
npx next build

If all pass, proceed to deploy. If any fail, fix the issue, commit the fix, and re-run.

Deployment Flows

Preview Deploy (feature branches)

  1. Ensure all changes are committed.
  2. Push to the feature branch:
   git push origin <branch-name>
  1. Vercel auto-deploys preview from GitHub. Monitor via:
   npx vercel list --token $VERCEL_TOKEN | head -5
  1. Once deployment is ready, hit the health endpoint:
   curl -sf https://<preview-url>/api/health | jq .
  1. Report the preview URL to the user.

Production Deploy

  1. Ensure you are on main branch and it is up to date:
   git checkout main && git pull origin main
  1. Merge the feature branch (prefer squash merge for clean history):
   git merge --squash <branch-name>
   git commit -m "feat: <summary of changes>"
  1. Run the full pre-deploy checklist.
  2. Notify the team with a deployment summary:

- What changed (list commits or features). - Any migration that will run. - Any env vars that need to be set.

  1. Push:
   git push origin main
  1. Monitor deployment:
   npx vercel list --token $VERCEL_TOKEN --prod
  1. Post-deploy health check:
   curl -sf https://<production-url>/api/health | jq .
  1. If health check fails, investigate logs:
   npx vercel logs <deployment-url> --token $VERCEL_TOKEN

Rollback

If a production deploy causes issues:

  1. Identify the last good deployment:
   npx vercel list --token $VERCEL_TOKEN --prod
  1. Promote the previous deployment:
   npx vercel promote <deployment-id> --token $VERCEL_TOKEN
  1. Notify the team about the rollback.
  2. Investigate the issue on the broken deployment before re-deploying.

Environment Variables

Setting env vars via Vercel CLI

# Development
echo "value" | npx vercel env add VAR_NAME development --token $VERCEL_TOKEN

# Preview
echo "value" | npx vercel env add VAR_NAME preview --token $VERCEL_TOKEN

# Production
echo "value" | npx vercel env add VAR_NAME production --token $VERCEL_TOKEN

Syncing env vars

When .env.example changes, check that all required vars exist in Vercel:

npx vercel env ls --token $VERCEL_TOKEN

Compare against .env.example and flag any missing vars.

Domain Management

Link a domain

npx vercel domains add <domain> --token $VERCEL_TOKEN

Check DNS

npx vercel domains inspect <domain> --token $VERCEL_TOKEN

Branch Strategy

  • main = production. Every push triggers a production deploy.
  • Feature branches (feat/, fix/, refactor/) = preview deploys.
  • Never force-push to main.
  • Use conventional branch names: feat/<feature>, fix/<bug>, refactor/<scope>.

Monitoring Post-Deploy

After production deploy, check these within 5 minutes:

  1. Health endpoint returns 200.
  2. No new errors in Vercel runtime logs.
  3. Key pages load correctly (check /, /login, /dashboard).
  4. Supabase migrations applied successfully (if any).

If any check fails, immediately trigger rollback procedure.

GitHub Integration

Creating PRs

gh pr create --title "feat: <title>" --body "<description>" --base main

Checking CI status

gh pr checks <pr-number>

Merging PRs

gh pr merge <pr-number> --squash --delete-branch

Commit Message Convention

All commits must follow Conventional Commits:

  • feat: — new feature
  • fix: — bug fix
  • refactor: — code change that neither fixes a bug nor adds a feature
  • test: — adding or fixing tests
  • chore: — tooling, config, deps
  • docs: — documentation only
  • db: — database migrations (custom convention for this stack)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

94.38%
按下载量换算10,531

安全审计

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通过

ClawScan

可疑

Static analysis

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

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