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Tanstack Start Best Practices

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DeckardGer
tanstack-start-best-practices

TanStack Start best practices for full-stack React applications. Server functions, middleware, SSR, authentication, and deployment patterns. Activate when building full-stack apps with TanStack Start.

Overview

PublisherDeckardGer
Repositorytanstack-agent-skills
Skill nametanstack-start-best-practices
Stars
225
Forks
19
Bundled files
32
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.

  • 32 bundled files

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

  • Open source

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

Installation

Install the Tanstack Start Best Practices 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/DeckardGer/tanstack-agent-skills/tree/main/skills/tanstack-start
  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/DeckardGer/tanstack-agent-skills.git /tmp/tanstack-agent-skills
mkdir -p .claude/skills
cp -r /tmp/tanstack-agent-skills/skills/tanstack-start .claude/skills/tanstack-start-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tanstack Start 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 Tanstack Start 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 Tanstack Start 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.

TanStack Start Best Practices

Comprehensive guidelines for implementing TanStack Start patterns in full-stack React applications. These rules cover server functions, middleware, SSR, authentication, and deployment.

When to Apply

  • Creating server functions for data mutations
  • Setting up middleware for auth/logging
  • Configuring SSR and hydration
  • Implementing authentication flows
  • Handling errors across client/server boundary
  • Organizing full-stack code
  • Deploying to various platforms

Rule Categories by Priority

PriorityCategoryRulesImpact
CRITICALServer Functions5 rulesCore data mutation patterns
CRITICALSecurity4 rulesPrevents vulnerabilities
HIGHMiddleware4 rulesRequest/response handling
HIGHAuthentication4 rulesSecure user sessions
MEDIUMAPI Routes1 ruleExternal endpoint patterns
MEDIUMSSR5 rulesServer rendering patterns
MEDIUMError Handling3 rulesGraceful failure handling
MEDIUMEnvironment1 ruleConfiguration management
LOWFile Organization3 rulesMaintainable code structure
LOWDeployment2 rulesProduction readiness

Quick Reference

Server Functions (Prefix: sf-)

  • sf-create-server-fn — Use createServerFn for server-side logic
  • sf-input-validation — Always validate server function inputs
  • sf-method-selection — Choose appropriate HTTP method
  • sf-error-handling — Handle errors in server functions
  • sf-response-headers — Customize response headers when needed

Security (Prefix: sec-)

  • sec-validate-inputs — Validate all user inputs with schemas
  • sec-auth-middleware — Protect routes with auth middleware
  • sec-sensitive-data — Keep secrets server-side only
  • sec-csrf-protection — Implement CSRF protection for mutations

Middleware (Prefix: mw-)

  • mw-request-middleware — Use request middleware for cross-cutting concerns
  • mw-function-middleware — Use function middleware for server functions
  • mw-context-flow — Properly pass context through middleware
  • mw-composability — Compose middleware effectively

Authentication (Prefix: auth-)

  • auth-session-management — Implement secure session handling
  • auth-route-protection — Protect routes with beforeLoad
  • auth-server-functions — Verify auth in server functions
  • auth-cookie-security — Configure secure cookie settings

API Routes (Prefix: api-)

  • api-routes — Create API routes for external consumers

SSR (Prefix: ssr-)

  • ssr-data-loading — Load data appropriately for SSR
  • ssr-hydration-safety — Prevent hydration mismatches
  • ssr-streaming — Implement streaming SSR for faster TTFB
  • ssr-selective — Apply selective SSR when beneficial
  • ssr-prerender — Configure static prerendering and ISR

Environment (Prefix: env-)

  • env-functions — Use environment functions for configuration

Error Handling (Prefix: err-)

  • err-server-errors — Handle server function errors
  • err-redirects — Use redirects appropriately
  • err-not-found — Handle not-found scenarios

File Organization (Prefix: file-)

  • file-separation — Separate server and client code
  • file-functions-file — Use .functions.ts pattern
  • file-shared-validation — Share validation schemas

Deployment (Prefix: deploy-)

  • deploy-env-config — Configure environment variables
  • deploy-adapters — Choose appropriate deployment adapter

How to Use

Each rule file in the rules/ directory contains:

  1. Explanation — Why this pattern matters
  2. Bad Example — Anti-pattern to avoid
  3. Good Example — Recommended implementation
  4. Context — When to apply or skip this rule

Full Reference

See individual rule files in rules/ directory for detailed guidance and code examples.

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 Start Best Practices AI skill do?

TanStack Start best practices for full-stack React applications. Server functions, middleware, SSR, authentication, and deployment patterns. Activate when building full-stack apps with TanStack Start.

Why use Tanstack Start Best Practices on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DeckardGer/tanstack-agent-skills/tree/main/skills/tanstack-start. 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 Start 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 Tanstack Start Best Practices?

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

Is the Tanstack Start Best Practices AI skill free?

Yes. It is published on GitHub by DeckardGer 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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