Tanstack Router logo

Tanstack Router

Organization
blencorp
tanstack-router

TanStack Router file-based routing patterns including route creation, navigation, loaders, type-safe routing, and lazy loading. Use when creating routes, implementing navigation, or working with TanStack Router.

Overview

Publisherblencorp
Repositoryclaude-code-kit
Skill nametanstack-router
Stars
102
Forks
14
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Tanstack Router 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.
  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/blencorp/claude-code-kit.git /tmp/claude-code-kit
mkdir -p .claude/skills
cp -r /tmp/claude-code-kit/cli/kits/tanstack-router/skills/tanstack-router .claude/skills/tanstack-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tanstack Router 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 Tanstack Router 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 Tanstack Router 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.

TanStack Router Patterns

Purpose

File-based routing with TanStack Router, emphasizing type-safe navigation, route loaders, and lazy loading.

When to Use This Skill

  • Creating new routes
  • Implementing navigation
  • Using route loaders for data
  • Type-safe routing with parameters
  • Lazy loading routes

Quick Start

Basic Route

typescript
// routes/posts/index.tsx
import { createFileRoute } from '@tanstack/react-router';
import { postsApi } from '~/features/posts/api/postsApi';

export const Route = createFileRoute('/posts')({
  loader: async () => {
    const posts = await postsApi.getAll();
    return { posts };
  },
  component: PostsPage,
});

function PostsPage() {
  const { posts } = Route.useLoaderData();

  return (
    <div>
      <h1>Posts</h1>
      {posts.map(post => (
        <PostCard key={post.id} post={post} />
      ))}
    </div>
  );
}

File-Based Routing

Directory Structure

routes/
├── __root.tsx          # Root route
├── index.tsx           # /
├── about.tsx           # /about
├── posts/
│   ├── index.tsx       # /posts
│   └── $postId.tsx     # /posts/:postId
└── users/
    ├── index.tsx       # /users
    └── $userId/
        ├── index.tsx   # /users/:userId
        └── posts.tsx   # /users/:userId/posts

Route Mapping

File Path                        → URL Path
routes/index.tsx                 → /
routes/about.tsx                 → /about
routes/posts/index.tsx           → /posts
routes/posts/$postId.tsx         → /posts/:postId
routes/users/$userId/index.tsx   → /users/:userId
routes/users/$userId/posts.tsx   → /users/:userId/posts

Route Parameters

Dynamic Routes

typescript
// routes/posts/$postId.tsx
import { createFileRoute } from '@tanstack/react-router';
import { postsApi } from '~/features/posts/api/postsApi';

export const Route = createFileRoute('/posts/$postId')({
  loader: async ({ params }) => {
    const post = await postsApi.get(params.postId);
    return { post };
  },
  component: PostDetails,
});

function PostDetails() {
  const { post } = Route.useLoaderData();
  const { postId } = Route.useParams();

  return (
    <div>
      <h1>{post.title}</h1>
      <p>{post.content}</p>
    </div>
  );
}

Multiple Parameters

typescript
// routes/users/$userId/posts/$postId.tsx
export const Route = createFileRoute('/users/$userId/posts/$postId')({
  loader: async ({ params }) => {
    const { userId, postId } = params;
    const post = await postsApi.getByUserAndId(userId, postId);
    return { post };
  },
  component: UserPostDetails,
});

Route Loaders

Basic Loader

typescript
export const Route = createFileRoute('/posts')({
  loader: async () => {
    const posts = await postsApi.getAll();
    return { posts };
  },
  component: PostsPage,
});

Loader with Dependencies

typescript
export const Route = createFileRoute('/users/$userId/posts')({
  loader: async ({ params, context }) => {
    const [user, posts] = await Promise.all([
      userApi.get(params.userId),
      postsApi.getByUser(params.userId),
    ]);
    return { user, posts };
  },
  component: UserPosts,
});

Loader Error Handling

typescript
export const Route = createFileRoute('/posts/$postId')({
  loader: async ({ params }) => {
    try {
      const post = await postsApi.get(params.postId);
      return { post, error: null };
    } catch (error) {
      return { post: null, error: 'Post not found' };
    }
  },
  component: PostDetails,
});

function PostDetails() {
  const { post, error } = Route.useLoaderData();

  if (error) return <Error message={error} />;
  return <div>{post.title}</div>;
}

Navigation

typescript
import { Link, useNavigate } from '@tanstack/react-router';

// Link component
<Link to="/posts/$postId" params={{ postId: '123' }}>View Post</Link>

// Programmatic navigation
const navigate = useNavigate();
navigate({ to: '/posts', search: { filter: 'published' } });

Lazy Loading

Lazy Route Component

typescript
// routes/posts/index.tsx
import { createFileRoute } from '@tanstack/react-router';
import { lazy } from 'react';

const PostsPage = lazy(() => import('~/features/posts/PostsPage'));

export const Route = createFileRoute('/posts')({
  component: PostsPage,
});

Lazy Loader

typescript
export const Route = createFileRoute('/posts')({
  loader: async () => {
    // Dynamically import heavy module only when route loads
    const { processData } = await import('~/lib/heavyModule');
    const posts = await postsApi.getAll();
    const processed = processData(posts);
    return { posts: processed };
  },
  component: PostsPage,
});

Search Params

Type-Safe Search Params

typescript
import { z } from 'zod';

const postsSearchSchema = z.object({
  filter: z.enum(['all', 'published', 'draft']).default('all'),
  sort: z.enum(['date', 'title']).default('date'),
  page: z.number().default(1),
});

export const Route = createFileRoute('/posts')({
  validateSearch: postsSearchSchema,
  loader: async ({ search }) => {
    const posts = await postsApi.getAll(search);
    return { posts };
  },
  component: PostsPage,
});

function PostsPage() {
  const { posts } = Route.useLoaderData();
  const search = Route.useSearch();

  return (
    <div>
      <p>Filter: {search.filter}</p>
      <p>Sort: {search.sort}</p>
      <p>Page: {search.page}</p>
    </div>
  );
}

Updating Search Params

typescript
import { useNavigate } from '@tanstack/react-router';

function FilterButtons() {
  const navigate = useNavigate();
  const search = Route.useSearch();

  const setFilter = (filter: string) => {
    navigate({
      to: '.',
      search: (prev) => ({ ...prev, filter }),
    });
  };

  return (
    <div>
      <button onClick={() => setFilter('all')}>All</button>
      <button onClick={() => setFilter('published')}>Published</button>
      <button onClick={() => setFilter('draft')}>Draft</button>
    </div>
  );
}

Layouts

Root Layout

typescript
// routes/__root.tsx
import { createRootRoute, Outlet } from '@tanstack/react-router';

export const Route = createRootRoute({
  component: RootLayout,
});

function RootLayout() {
  return (
    <div>
      <Header />
      <main>
        <Outlet />  {/* Child routes render here */}
      </main>
      <Footer />
    </div>
  );
}

Nested Layouts

typescript
// routes/dashboard.tsx
export const Route = createFileRoute('/dashboard')({
  component: DashboardLayout,
});

function DashboardLayout() {
  return (
    <div className="dashboard">
      <Sidebar />
      <div className="content">
        <Outlet />  {/* Dashboard child routes */}
      </div>
    </div>
  );
}

// routes/dashboard/index.tsx
export const Route = createFileRoute('/dashboard')({
  component: DashboardHome,
});

// routes/dashboard/analytics.tsx
export const Route = createFileRoute('/dashboard/analytics')({
  component: Analytics,
});

Route Guards

Authentication Guard

typescript
export const Route = createFileRoute('/admin')({
  beforeLoad: async ({ context }) => {
    if (!context.auth.isAuthenticated) {
      throw redirect({
        to: '/login',
        search: { redirect: '/admin' },
      });
    }
  },
  component: AdminPage,
});

Permission Guard

typescript
export const Route = createFileRoute('/admin/users')({
  beforeLoad: async ({ context }) => {
    if (!context.auth.hasPermission('users:manage')) {
      throw redirect({ to: '/unauthorized' });
    }
  },
  component: UsersPage,
});

Breadcrumbs

Route Breadcrumbs

typescript
export const Route = createFileRoute('/posts/$postId')({
  loader: async ({ params }) => {
    const post = await postsApi.get(params.postId);
    return { post };
  },
  meta: ({ loaderData }) => [
    { title: 'Home', path: '/' },
    { title: 'Posts', path: '/posts' },
    { title: loaderData.post.title, path: `/posts/${loaderData.post.id}` },
  ],
  component: PostDetails,
});

Best Practices

1. Use Loaders for Data

typescript
// ✅ Good: Loader fetches data
export const Route = createFileRoute('/posts')({
  loader: async () => {
    const posts = await postsApi.getAll();
    return { posts };
  },
  component: PostsPage,
});

// ❌ Avoid: Fetching in component
function PostsPage() {
  const [posts, setPosts] = useState([]);

  useEffect(() => {
    postsApi.getAll().then(setPosts);
  }, []);

  return <div>...</div>;
}

2. Lazy Load Heavy Routes

typescript
// ✅ Good: Lazy load admin panel
const AdminPanel = lazy(() => import('~/features/admin/AdminPanel'));

export const Route = createFileRoute('/admin')({
  component: AdminPanel,
});

3. Type-Safe Navigation

typescript
// ✅ Good: Type-safe Link
<Link to="/posts/$postId" params={{ postId: post.id }}>
  View Post
</Link>

// ❌ Avoid: String concatenation
<a href={`/posts/${post.id}`}>View Post</a>

Additional Resources

For more patterns, see:

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tanstack Router AI skill do?

TanStack Router file-based routing patterns including route creation, navigation, loaders, type-safe routing, and lazy loading. Use when creating routes, implementing navigation, or working with TanStack Router.

Why use Tanstack Router on TypingMind?

Because you install it once and use it with any model. Tanstack Router 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 Tanstack Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/blencorp/claude-code-kit/tree/main/cli/kits/tanstack-router/skills/tanstack-router. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tanstack Router?

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 Tanstack Router?

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

Is the Tanstack Router AI skill free?

Yes. It is published on GitHub by blencorp 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇