Rspack Best Practices

Organization

rstackjs

rspack-best-practices

Configure, review, or troubleshoot Rspack builds, including loaders, CSS, assets, type checking, bundle optimization, and profiling.

Overview

Publisher	rstackjs
Repository	`agent-skills`
Skill name	`rspack-best-practices`
Stars	93
Forks	4
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 rstackjs on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/rstackjs/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/rspack-best-practices .claude/skills/rspack-best-practices

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rspack Best Practices 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 Rspack Best Practices 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 Rspack Best Practices 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.

Rspack best practices

Apply these rules when writing or reviewing Rspack projects.

Configuration

Use rspack.config.ts and defineConfig
Define explicit entry values for multi-page applications
Keep one main config and branch by process.env.NODE_ENV only when needed
Keep rule conditions narrow and explicit (test, include, exclude, resourceQuery)
Prefer built-in Rspack plugins/loaders over community JS alternatives when equivalent features exist

CLI

If @rspack/cli is installed:

Use rspack dev for local development
Use rspack build for production build
Use rspack preview only for local production preview

Type checking

Use ts-checker-rspack-plugin for integrated dev/build type checks
Or run tsc --noEmit/vue-tsc --noEmit as an explicit script step

CSS

Choose one strategy:

Built-in CSS (type: 'css' | 'css/auto' | 'css/module') for modern setups
css-loader + CssExtractRspackPlugin for webpack migration compatibility
style-loader for pure style-in-JS runtime injection scenarios

Optional:

Use builtin:lightningcss-loader when goals are syntax downgrade + vendor prefixing
Use sass-loader/less-loader for preprocessing Sass/Less files
Use @tailwindcss/webpack for Tailwind CSS integration

Bundle size optimization

Prefer dynamic import() for non-critical code paths
Prefer lightweight libraries where possible
Keep target aligned with real compatibility requirements

Asset management

Import source-managed assets from project source directories, not from public
Reference public files by absolute URL path
Prefer asset modules (asset, asset/resource, asset/inline, asset/source) over legacy file-loader/url-loader/raw-loader

Profiling

Use Node CPU profiling (--cpu-prof) when JavaScript-side overhead is suspected
Use RSPACK_PROFILE=OVERVIEW and analyze trace output for compiler-phase bottlenecks
Replace known slow stacks first (babel-loader, PostCSS, terser) with Rspack built-ins when feasible

Security

Do not publish .map files to public servers/CDNs when production source maps are enabled

Documentation

For the latest (v2) docs, read http://rspack.rs/llms.txt
For Rspack v1 docs, read http://v1.rspack.rs/llms.txt

Frequently asked questions

What does the Rspack Best Practices AI skill do?

Configure, review, or troubleshoot Rspack builds, including loaders, CSS, assets, type checking, bundle optimization, and profiling.

Why use Rspack Best Practices on TypingMind?

Because you install it once and use it with any model. Rspack Best Practices 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 Rspack Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rstackjs/agent-skills/tree/main/skills/rspack-best-practices. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rspack Best Practices?

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 Rspack Best Practices?

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

Is the Rspack Best Practices AI skill free?

Yes. It is published on GitHub by rstackjs 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Rspack best practices

Configuration

CLI

Type checking

CSS

Bundle size optimization

Asset management

Profiling

Security

Documentation

Frequently asked questions

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