runtime-debug

vercel/next.js · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/vercel/next.js --skill runtime-debug
0 commentsdiscussion
summary

Use this skill when reproducing runtime-bundle, module-resolution, or user-bundle inclusion regressions.

skill.md

Runtime Debug

Use this skill when reproducing runtime-bundle, module-resolution, or user-bundle inclusion regressions.

Local Repro Discipline

  • Mirror CI env vars when reproducing CI failures.
  • Key variables: IS_WEBPACK_TEST=1 forces webpack (turbopack is default), NEXT_SKIP_ISOLATE=1 skips packing next.js.
  • For module-resolution validation, always rerun without NEXT_SKIP_ISOLATE=1.

Stack Trace Visibility

Set __NEXT_SHOW_IGNORE_LISTED=true to disable the ignore-list filtering in dev server error output. By default, Next.js collapses internal frames to at ignore-listed frames, which hides useful context when debugging framework internals. Defined in packages/next/src/server/patch-error-inspect.ts.

User-Bundle Regression Guardrail

When user next build starts bundling internal Node-only helpers unexpectedly:

  1. Inspect route trace artifacts (.next/server/.../page.js.nft.json).
  2. Inspect traced server chunks for forbidden internals (e.g. next/dist/server/stream-utils/node-stream-helpers.js, node:stream/promises).
  3. Add a test-start-webpack assertion that reads the route trace and traced server chunks, and fails on forbidden internals. This validates user-project bundling (not publish-time runtime bundling).

Bundle Tracing / Inclusion Proof

To prove what user bundling includes, emit webpack stats from the app's next.config.js:

// next.config.js
module.exports = {
  webpack(config) {
    config.profile = true
    return config
  },
}

Then use stats.toJson({ modules: true, chunks: true, reasons: true }) and diff webpack-stats-server.json between modes. This gives concrete inclusion reasons (e.g. which module required node:stream/promises) and is more reliable than analyzer HTML alone.

Related Skills

  • $flags - flag wiring (config/schema/define-env/runtime env)
  • $dce-edge - DCE-safe require patterns and edge constraints
  • $react-vendoring - entry-base boundaries and vendored React
how to use runtime-debug

How to use runtime-debug on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add runtime-debug
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vercel/next.js --skill runtime-debug

The skills CLI fetches runtime-debug from GitHub repository vercel/next.js and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/runtime-debug

Reload or restart Cursor to activate runtime-debug. Access the skill through slash commands (e.g., /runtime-debug) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.770 reviews
  • Hassan Park· Dec 24, 2024

    Registry listing for runtime-debug matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Emma Kim· Dec 20, 2024

    runtime-debug reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dev Khan· Dec 20, 2024

    runtime-debug fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zara Reddy· Dec 8, 2024

    We added runtime-debug from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Arya Park· Dec 4, 2024

    runtime-debug fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Bhatia· Nov 27, 2024

    runtime-debug reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Emma Park· Nov 23, 2024

    Registry listing for runtime-debug matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sophia Dixit· Nov 15, 2024

    runtime-debug fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Arya White· Nov 11, 2024

    We added runtime-debug from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Arya Anderson· Nov 11, 2024

    Registry listing for runtime-debug matched our evaluation — installs cleanly and behaves as described in the markdown.

showing 1-10 of 70

1 / 7