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    Vercel Build Log Doctor

    Vercel Build Log Doctor

    by JustHandled Labs

    Figure out why your Vercel build or deploy failed without scrolling the whole log. Reads the build log plus your package manifest and framework config to pinpoint missing modules, Node and package-manager mismatches, missing env vars, monorepo root mistakes, and serverless/edge runtime errors, with the likely cause and a fix for each.

    Updated Jun 2026
    Security scanned
    Works with Claude Code

    $15

    · or 75 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Identify exact causes of 'Module Not Found' errors in production builds
    • Detect Node.js version mismatches between local and Vercel environments
    • terminal, file_read automation included
    • Ready for Works with Claude Code
    • Instant install

    Sample input

    My Vercel build failed with a 'Module not found' error but it works locally. Here are my logs and package.json.

    Sample output

    Confirmed Findings

    • High: Dependency Mismatch
      • Evidence: Log line 452: Module not found: Can't resolve 'lucide-react'
      • Cause: lucide-react is in devDependencies but required at runtime.
    • Fix: Move lucide-react to dependencies.
    • Snippet: npm install lucide-react

    About This Skill

    What it does

    Vercel Build Log Doctor is a specialized diagnostic skill designed to get your deployments back on track. It moves beyond generic AI advice by performing a structured, evidence-based analysis of your Vercel build logs, project manifests, framework configurations (Next.js, Vite, etc.), and environment variable setups. Using a built-in heuristic scanner, it pinpoints the exact cause of deployment failures—whether it's a Node.js version mismatch, a missing dependency in a monorepo, or a serverless function runtime error.

    Why use this skill

    Debugging CI/CD pipelines is notoriously time-consuming. Instead of manually parsing thousands of lines of logs, this skill automates the "Log-File-Config" triangulation. It separates confirmed bugs from hypotheses, providing you with high-signal remediation snippets that are safe to copy-paste. It prevents "guessing" by citing exact evidence for every finding, ensuring you spend less time on trial-and-error and more time shipping code.

    Supported Tools & Frameworks

    • Frameworks: Next.js, Nuxt, Remix, Astro, SvelteKit, and more.
    • Runtimes: Node.js, Edge Runtime, Serverless Functions.
    • Package Managers: npm, pnpm, yarn, bun.
    • Architecture: Monorepos (Turborepo, Nx), standalone apps, and micro-frontends.

    Use Cases

    • Identify exact causes of 'Module Not Found' errors in production builds
    • Detect Node.js version mismatches between local and Vercel environments
    • Debug monorepo root directory and build command configuration issues
    • Resolve Serverless and Edge runtime compatibility errors in Next.js projects

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files

    File Scopes

    vercel-build-log-doctor/**
    **/*.log
    **/*.txt
    **/*.json
    **/*.js
    **/*.ts
    **/*.mjs
    **/*.cjs
    **/package.json

    Read-only inspection first. The bundled scanner reads matching logs, manifests, and config files and prints markdown or JSON findings. It installs nothing, transmits nothing, and modifies nothing. It does not call the Vercel API or read your live project. Any write, install, deploy, or live-account action requires explicit user confirmation.

    Works with Claude Code, Codex CLI, Cursor, OpenCode/OpenClaw, Gemini CLI, and other agents that load SKILL.md folders. The bundled scanner uses the Python 3 standard library only and degrades to manual checklist mode when Python or matching files are unavailable.

    Creator

    JustHandled Labs creates focused agent skills and workflow packs for Claude, Codex, Cursor, and AI-assisted builders. Each tool is designed around a real repeatable task: cleaner commits, better PRs, stronger handoffs, safer repo hygiene, clearer documentation, and less copy-paste chaos. The goal is not generic AI productivity. The goal is specific workflows that are easier to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. JustHandled Labs builds tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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