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moai-platform-vercelmoai platform Vercel 搜索

Agent Skill

moai-platform-vercel 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

396

周安装

17

GitHub Stars

964

下载量

139
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:moai-platform-vercel(moai platform Vercel 搜索)
来源仓库:https://github.com/modu-ai/moai-adk
仓库路径:skills/moai-platform-vercel
安装命令:
npx skills add https://github.com/modu-ai/moai-adk --skill moai-platform-vercel
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/modu-ai/moai-adk --skill moai-platform-vercel

简介

moai-platform-vercel 用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。

  • 适用于围绕 Vercel 部署相关代码变更、仓库状态或协作事项进行整理的场景。
  • 通过 npx skills add 命令安装,需结合来源仓库和 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

moai-platform-vercel: Vercel Edge Deployment Specialist

Quick Reference

Vercel Optimization Focus: Edge-first deployment platform with global CDN, Next.js optimized runtime, managed storage solutions, and developer-centric preview workflows.

Core Capabilities

Edge Functions provide global low-latency compute at 30+ edge locations with sub-50ms cold start for optimal user experience. Features include geo-based routing and personalization, and edge middleware for request/response transformation.

Next.js Optimized Runtime provides first-class Next.js support with automatic optimizations. Features include Server Components and App Router integration, streaming SSR for improved TTFB, and built-in image optimization with next/image.

Preview Deployments provide automatic PR-based preview URLs with branch-specific environment variables. Features include comment integration for PR reviews and instant rollback capabilities.

ISR (Incremental Static Regeneration) enables on-demand revalidation for dynamic content with stale-while-revalidate caching strategy. Features include tag-based cache invalidation and background regeneration without user impact.

Managed Storage includes Vercel KV for Redis-compatible key-value store, Vercel Blob for object storage for files, and Vercel Postgres for managed PostgreSQL database.

Quick Decision Guide

Choose Vercel when Next.js is primary framework, edge performance is critical requirement, preview deployments needed for team collaboration, Web Vitals monitoring is priority, or serverless storage solutions needed.


Module Index

This skill uses modular documentation for progressive disclosure. Load modules as needed:

Edge Functions and Middleware

Module at modules/edge-functions.md covers Edge Runtime configuration, middleware patterns, geo-based content delivery, A/B testing at edge, and authentication at edge. Includes region selection, supported APIs, and cold start optimization.

ISR and Caching Strategies

Module at modules/isr-caching.md covers Incremental Static Regeneration patterns, time-based and on-demand revalidation, tag-based cache invalidation, CDN cache headers, streaming with Suspense, and cache debugging techniques.

Deployment Configuration

Module at modules/deployment-config.md covers vercel.json configuration, environment variables management, preview and production deployments, function memory and duration settings, cron jobs, monorepo setup, domain configuration, and security headers.

Analytics and Speed Insights

Module at modules/analytics-speed.md covers Vercel Analytics integration, Speed Insights for Web Vitals, custom performance monitoring, Core Web Vitals optimization, and third-party analytics integration.

KV, Blob, and Postgres Storage

Module at modules/kv-storage.md covers Vercel KV for Redis-compatible storage, Vercel Blob for object storage, Vercel Postgres for managed database, edge-compatible usage patterns, and common storage patterns.


Implementation Guide

Essential Configuration

The vercel.json configuration file contains a schema reference to openapi.vercel.sh/vercel.json, framework set to nextjs, regions array for deployment regions such as iad1, sfo1, and fra1, and functions configuration for API routes specifying memory in MB and maxDuration in seconds.

Edge Function Quick Start

For an Edge Function route, create an api route file and export runtime as "edge". Export preferredRegion as an array of region codes. Export an async GET handler that takes a Request parameter, extracts the country from request.geo defaulting to "Unknown", and returns a Response.json with the country data.

ISR Quick Start

For ISR implementation, export revalidate constant set to the revalidation interval in seconds. In the async page component, fetch data with the next configuration option containing tags array for cache invalidation. Return the component with fetched data.

Analytics Integration

For Analytics integration in the root layout, import Analytics from @vercel/analytics/react and SpeedInsights from @vercel/speed-insights/next. In the RootLayout component body, render children followed by Analytics and SpeedInsights components.


Advanced Patterns

Blue-Green Deployment

Deploy new version, run smoke tests on preview URL, then switch production alias using Vercel SDK for zero-downtime releases.

Monorepo with Turborepo

For monorepo configuration, set buildCommand to run turbo build from root with filter for the web package. Set installCommand to run pnpm install from root. Set framework to nextjs.

Context7 Integration

Use Context7 MCP tools for latest documentation:

Step 1: Resolve library ID using mcp__context7__resolve-library-id with "vercel" or "next.js".

Step 2: Fetch documentation using mcp__context7__get-library-docs with resolved ID, specific topic, and appropriate token allocation of 5000 to 10000 tokens.


Works Well With

  • moai-platform-railway for container-based deployment alternative
  • moai-lang-typescript for TypeScript patterns for Next.js
  • moai-domain-frontend for React and Next.js component patterns
  • moai-foundation-quality for deployment validation and testing
  • moai-domain-database for database patterns for Vercel Postgres

Additional Resources

  • Reference Guide at reference.md provides complete CLI commands and configuration options
  • Code Examples at examples.md provides production-ready code snippets

Status: Production Ready Version: 2.1.0 Updated: 2026-01-11

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

26.85%
按下载量换算37

Codex

24.37%
按下载量换算34

Antigravity

16.21%
按下载量换算23

OpenCode

11.69%
按下载量换算16

Gemini CLI

8.89%
按下载量换算12

windsurf

3.86%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

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

来源信息

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