dce-edge▌
vercel/next.js · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Use this skill when changing conditional require() paths, Node-only imports, or edge/runtime branching.
DCE + Edge
Use this skill when changing conditional require() paths, Node-only imports, or edge/runtime branching.
DCE-Safe require() Pattern
Webpack only DCEs a require() when it sits inside the dead branch of an if/else whose condition DefinePlugin can evaluate at compile time.
// CORRECT - webpack can eliminate the dead branch
if (process.env.__NEXT_USE_NODE_STREAMS) {
require('node:stream')
} else {
// web path
}
What does NOT work:
- Early-return/throw guards: webpack doesn't do control-flow analysis for throws/returns, so the
require()is still traced. - Bare
ifwithoutelse: works for inlinenode:*specifiers but NOT forrequire('./some-module')that pulls a new file into the module graph.
Always test edge changes with pnpm test-start-webpack on test/e2e/app-dir/app/standalone.test.ts (has edge routes), not with NEXT_SKIP_ISOLATE=1 which skips the full webpack compilation.
TypeScript + DCE Interaction
Use if/else (not two independent if blocks) when assigning a variable conditionally on process.env.X. TypeScript cannot prove exhaustiveness across if (flag) { x = a }; if (!flag) { x = b } and will error with "variable used before being assigned". The if/else pattern satisfies both TypeScript (definite assignment) and webpack DCE.
Compile-Time Switcher Pattern
Platform-specific code (node vs web) can use a single .ts switcher module that conditionally require()s either .node.ts or .web.ts into a typed variable, then re-exports the shared runtime API as named exports. Keep the branch as if/else so DefinePlugin can dead-code-eliminate the unused require(). Keep shared types canonical in .node.ts, with .web.ts importing them via import type and the switcher re-exporting types as needed. Examples: stream-ops.ts and debug-channel-server.ts.
NEXT_RUNTIME Is Not a Feature Flag
In user-project webpack server compilers, process.env.NEXT_RUNTIME is inlined to 'nodejs'. Guarding Node-only require('node:*') paths with NEXT_RUNTIME === 'nodejs' does not prune anything. For feature-gated codepaths, guard on the real feature define (e.g. process.env.__NEXT_USE_NODE_STREAMS).
Edge Runtime Constraints
Edge routes do NOT use pre-compiled runtime bundles. They are compiled by the user's webpack/Turbopack, so define-env.ts controls DCE. Feature flags that gate node:* imports must be forced to false for edge builds in define-env.ts (isEdgeServer ? false : flagValue), otherwise webpack will try to resolve node:stream etc. and fail.
app-page.ts Template Gotchas
app-page.tsis a build template compiled by the user's bundler. Anyrequire()in this file is traced by webpack/turbopack atnext buildtime. You cannot require internal modules with relative paths because they won't be resolvable from the user's project. Instead, export new helpers fromentry-base.tsand access them viaentryBase.*in the template.- Template helpers should stay out of
RenderResult. Ifapp-page.tsneeds a Node-stream-only utility, prefer a small dedicated helper module inserver/stream-utils/(with DCE-safeif/else+require()).
Verification
- Validate edge bundling regressions with
pnpm test-start-webpack test/e2e/app-dir/app/standalone.test.ts - For module-resolution/build-graph fixes, verify without
NEXT_SKIP_ISOLATE=1
Related Skills
$flags- flag wiring (config/schema/define-env/runtime env)$react-vendoring- entry-base boundaries and vendored React$runtime-debug- reproduction and verification workflow
How to use dce-edge on Cursor
AI-first code editor with Composer
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 dce-edge
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches dce-edge from GitHub repository vercel/next.js and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate dce-edge. Access the skill through slash commands (e.g., /dce-edge) 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
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★48 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
dce-edge fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Neel Haddad· Dec 28, 2024
dce-edge reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Xiao Rao· Dec 20, 2024
Useful defaults in dce-edge — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Torres· Dec 12, 2024
dce-edge is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Srinivasan· Dec 4, 2024
dce-edge has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Amina Taylor· Nov 23, 2024
Keeps context tight: dce-edge is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 19, 2024
Registry listing for dce-edge matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Neel Yang· Nov 19, 2024
We added dce-edge from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Rahman· Nov 3, 2024
Solid pick for teams standardizing on skills: dce-edge is focused, and the summary matches what you get after install.
- ★★★★★Kabir Singh· Oct 22, 2024
dce-edge has been reliable in day-to-day use. Documentation quality is above average for community skills.
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