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Agent Skill · 研究检索

vercel-advanced-troubleshooting(Vercel 高级 troubleshooting)

vercel-advanced-troubleshooting 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

vercel-advanced-troubleshooting 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 49,494。

总安装 649周安装 26GitHub Stars 2,093下载 210核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:vercel-advanced-troubleshooting(Vercel 高级 troubleshooting)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/vercel-advanced-troubleshooting
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vercel-advanced-troubleshooting
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。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vercel-advanced-troubleshooting

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。

安装方式:github,命令为 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vercel-advanced-troubleshooting。

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。

来源仓库内路径:skills/vercel-advanced-troubleshooting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

vercel-advanced-troubleshooting 怎么安装?

在终端执行 npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

vercel-advanced-troubleshooting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

vercel-advanced-troubleshooting 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

vercel-advanced-troubleshooting 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

vercel-advanced-troubleshooting 用的人多吗?

公开数据是累计安装 649 次,近一周安装 26 次,下载 210 次,GitHub 2,093 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

vercel-advanced-troubleshooting 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 2,093 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
vercel-advanced-troubleshooting

Vercel 高级 troubleshooting · 本页

6492,093调用外部服务未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Vercel Advanced Troubleshooting

Overview

Diagnose hard-to-find Vercel issues: intermittent cold start failures, edge function crashes, region-specific behavior, function bundling problems, and serverless concurrency issues. Uses systematic isolation, request tracing, and Vercel-specific debugging techniques.

Prerequisites

  • Vercel CLI with access to production logs
  • Familiarity with vercel-common-errors (standard debugging)
  • curl and jq for API inspection
  • Access to deployment inspection tools

Instructions

Step 1: Request-Level Tracing

# Trace a single request through Vercel's edge network
curl -v https://yourdomain.com/api/endpoint 2>&1 | grep -E "x-vercel|cf-ray|age|cache"

# Key headers to check:
# x-vercel-id: <region>::<function-id> — which region served the request
# x-vercel-cache: HIT/MISS/STALE — edge cache status
# x-vercel-execution-region: iad1 — function execution region
# age: 45 — seconds since edge cached the response
# x-matched-path: /api/endpoint — routing match result

Step 2: Cold Start Investigation

// Instrument cold start timing in your function
let coldStart = true;
const initTime = Date.now();

export default function handler(req, res) {
  const isCold = coldStart;
  coldStart = false;

  const handlerStart = Date.now();
  // ... your logic ...

  res.setHeader('x-cold-start', String(isCold));
  res.setHeader('x-init-duration', String(handlerStart - initTime));
  res.json({
    coldStart: isCold,
    initDuration: isCold ? handlerStart - initTime : 0,
    handlerDuration: Date.now() - handlerStart,
    region: process.env.VERCEL_REGION,
  });
}
# Measure cold start frequency over N requests
for i in $(seq 1 20); do
  curl -s https://yourdomain.com/api/endpoint \
    | jq '{coldStart, initDuration, region}'
  sleep 2  # Wait between requests to allow isolate recycling
done

Step 3: Function Bundle Analysis

# Check what's being bundled into your function
vercel inspect https://my-app-xxx.vercel.app

# Check function sizes in the deployment
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v13/deployments/dpl_xxx" \
  | jq '.functions | to_entries[] | {path: .key, size: .value.size, regions: .value.regions}'

# Locally — check what @vercel/nft traces for a function
npx @vercel/nft print api/heavy-endpoint.ts 2>/dev/null | head -50
# Shows all files that will be bundled

# Find unexpectedly large dependencies
npx @vercel/nft print api/heavy-endpoint.ts 2>/dev/null \
  | xargs -I {} du -sh {} 2>/dev/null | sort -rh | head -20

Step 4: Region-Specific Debugging

# Test from different regions to isolate geographic issues
# Use Vercel's deployment URL with region hints
for region in iad1 sfo1 cdg1 hnd1; do
  echo "=== Region: $region ==="
  curl -s -w "HTTP %{http_code} | Time: %{time_total}s\n" \
    -H "x-vercel-ip-country: US" \
    https://yourdomain.com/api/endpoint
done

# Check if the issue is region-dependent
# If latency varies wildly, check:
# 1. Function region vs database region (cross-region latency)
# 2. Edge middleware adding delay
# 3. External API calls from wrong region

Step 5: Edge Function Crash Debugging

// Edge functions crash silently on Node.js API usage
// Common crashes and their symptoms:

// Symptom: EDGE_FUNCTION_INVOCATION_FAILED with no error details
// Cause: Using Node.js Buffer, fs, crypto.createHash in edge runtime

// Diagnostic: check if imports are edge-compatible
export const config = { runtime: 'edge' };

export default function handler(request: Request) {
  // This will crash silently:
  // const hash = require('crypto').createHash('sha256');

  // Use Web Crypto instead:
  const encoder = new TextEncoder();
  const data = encoder.encode('test');
  const hashBuffer = await crypto.subtle.digest('SHA-256', data);

  return Response.json({ ok: true });
}
# Check if a module is edge-compatible
npx edge-runtime --eval "import('your-module')" 2>&1
# Errors here mean the module won't work in edge functions

Step 6: Concurrency and Throttling Debug

# Check current function concurrency limits
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v9/projects/my-app" \
  | jq '{plan: .plan, concurrency: .concurrencyBucketName}'

# Hobby: 10 concurrent, Pro: 1000, Enterprise: 100000

# Load test to find throttling threshold
npx autocannon -c 50 -d 10 https://yourdomain.com/api/endpoint
# Watch for 429 responses indicating FUNCTION_THROTTLED

Step 7: Systematic Isolation

Issue persists? Isolate systematically:

1. Does it happen on preview deployments?
   └── No → Production-only env var or domain issue

2. Does it happen with a minimal function?
   └── No → Issue is in your code, not Vercel platform

3. Does it happen in all regions?
   └── No → Region-specific infrastructure issue

4. Does it happen with edge runtime?
   └── No → Node.js-specific issue (cold starts, module compat)

5. Does it happen without middleware?
   └── No → Middleware is interfering — check matcher scope

6. Create minimal reproduction:
   └── api/test.ts with only the failing behavior
   └── Deploy standalone and test

Step 8: Vercel Support Escalation

# Collect comprehensive evidence
mkdir vercel-debug && cd vercel-debug

# Deployment details
vercel inspect https://yourdomain.com > inspect.txt
vercel logs https://yourdomain.com --limit=200 > logs.txt

# Request trace
curl -v https://yourdomain.com/api/failing-endpoint 2>&1 > curl-trace.txt

# Function analysis
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v13/deployments/dpl_xxx" > deployment.json

# Platform status at time of issue
curl -s "https://www.vercel-status.com/api/v2/summary.json" > status.json

tar czf vercel-debug-$(date +%Y%m%d).tar.gz .

Output

  • Request traced through Vercel's edge network with region and cache data
  • Cold start frequency and duration quantified
  • Function bundle analyzed for size issues
  • Issue isolated to specific layer (edge, runtime, region, middleware)
  • Evidence bundle ready for support escalation

Error Handling

SymptomLikely CauseDebug Approach
Intermittent 500 errorsCold start + unhandled asyncAdd global error handler, check init code
Latency spikes every ~15 minFunction isolate recycling (cold start)Measure with x-cold-start header
Works in preview, fails in prodEnv var scope mismatchCompare env vars across environments
EDGE_FUNCTION_INVOCATION_FAILEDNode.js API in edge runtimeCheck imports for Node.js-only modules
Function works locally, fails deployedMissing dependency or env varRun vercel build locally, check output

Resources

Next Steps

For load testing and scaling, see vercel-load-scale.

平台分布

Codex

33.56%
按下载量换算70

Claude

31.84%
按下载量换算67

Cursor

20.89%
按下载量换算44

Gemini CLI

10.36%
按下载量换算22

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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