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Dce Edge

OrganizationPopular
vercel
dce-edge

DCE-safe require() patterns and edge runtime constraints. Use when writing conditional require() calls, guarding Node-only imports (node:stream etc.), or editing define-env-plugin.ts / app-render / stream-utils for edge builds. Covers if/else branching for webpack DCE, TypeScript definite assignment, the NEXT_RUNTIME vs real feature flag distinction, and forcing flags false for edge in define-env.ts.

Overview

Publishervercel
Repositorynext.js
Skill namedce-edge
Stars
143.1K
Forks
34.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Dce Edge AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vercel/next.js/tree/canary/.agents/skills/dce-edge
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel/next.js.git /tmp/next.js
mkdir -p .claude/skills
cp -r /tmp/next.js/.agents/skills/dce-edge .claude/skills/dce-edge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dce Edge in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dce Edge on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dce Edge is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

ts
// 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 if without else: works for inline node:* specifiers but NOT for require('./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.ts is a build template compiled by the user's bundler. Any require() in this file is traced by webpack/turbopack at next build time. You cannot require internal modules with relative paths because they won't be resolvable from the user's project. Instead, export new helpers from entry-base.ts and access them via entryBase.* in the template.
  • Template helpers should stay out of RenderResult. If app-page.ts needs a Node-stream-only utility, prefer a small dedicated helper module in server/stream-utils/ (with DCE-safe if/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

Frequently asked questions

What does the Dce Edge AI skill do?

DCE-safe require() patterns and edge runtime constraints. Use when writing conditional require() calls, guarding Node-only imports (node:stream etc.), or editing define-env-plugin.ts / app-render / stream-utils for edge builds. Covers if/else branching for webpack DCE, TypeScript definite assignment, the NEXT_RUNTIME vs real feature flag distinction, and forcing flags false for edge in define-env.ts.

Why use Dce Edge on TypingMind?

Because you install it once and use it with any model. Dce Edge is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dce Edge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/next.js/tree/canary/.agents/skills/dce-edge. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dce Edge?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dce Edge?

As many as you like. As long as a model supports skills, you can use Dce Edge with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dce Edge AI skill free?

Yes. It is published on GitHub by vercel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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