Rslib Best Practices

Organization

rstackjs

rslib-best-practices

Configure, review, or troubleshoot Rslib library builds, output formats, declarations, dependency handling, and integrations.

Overview

Publisher	rstackjs
Repository	`agent-skills`
Skill name	`rslib-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 Rslib 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/rslib-best-practices .claude/skills/rslib-best-practices

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

Use it in TypingMind

Enable Rslib 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 Rslib 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 Rslib 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.

Rslib best practices

Apply these rules when writing or reviewing Rslib library projects.

Configuration

Use rslib.config.ts and defineConfig
Check Rslib-specific configurations first (e.g., lib.*), and also leverage Rsbuild configurations (e.g., source.*, output.*, tools.*) as needed
For deep-level or advanced configuration needs, use tools.rspack or tools.bundlerChain to access Rspack's native configurations
In TypeScript projects, prefer tsconfig.json path aliases

CLI

Use rslib to build
Use rslib --watch to build in watch mode for local development
Use rslib inspect to inspect final Rslib/Rsbuild/Rspack configs

Output

Prefer to build pure-ESM package with "type": "module" in package.json
Prefer to use bundleless mode with output.target set to 'web' when building component libraries
Prefer to use bundle mode when building Node.js utility libraries
Ensure exports field in package.json is correctly configured and matches the actual JavaScript output and declaration files output of different formats (ESM, CJS, etc.)

Declaration files

Prefer to enable declaration file generation with lib.dts: true or detailed configurations
For faster type generation, enable lib.dts.tsgo experimental feature with @typescript/native-preview installed

Dependencies

Prefer to place dependencies to be bundled in devDependencies in bundle mode and dependencies in dependencies and peerDependencies will be automatically externalized (not bundled) by default
Verify the build output and dependency specifiers in package.json carefully to ensure no missing dependency errors occur when consumers install and use this package

Build optimization

Keep syntax target in lib.syntax aligned with real compatibility requirements to enable better optimizations
Avoid format-specific APIs in source code for better compatibility with different output formats
Prefer lightweight dependencies to reduce bundle size

Toolchain integration

Prefer to use Rstest with @rstest/adapter-rslib for writing tests
Prefer to use Rspress for writing library documentation, with @rspress/plugin-preview and @rspress/plugin-api-docgen for component previews and API docs

Debugging

Run with DEBUG=rsbuild when diagnosing config resolution or plugin behavior
Read generated files in dist/.rsbuild to confirm final Rsbuild/Rspack config, not assumed config

Documentation

For the latest Rslib docs, read https://rslib.rs/llms.txt

Frequently asked questions

What does the Rslib Best Practices AI skill do?

Configure, review, or troubleshoot Rslib library builds, output formats, declarations, dependency handling, and integrations.

Why use Rslib Best Practices on TypingMind?

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

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

Which AI models can use Rslib 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 Rslib Best Practices?

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

Is the Rslib 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

Rslib best practices

Configuration

CLI

Output

Declaration files

Dependencies

Build optimization

Toolchain integration

Debugging

Documentation

Frequently asked questions

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