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Inertia Rails Architecture

Organization
inertia-rails
inertia-rails-architecture

Server-driven architecture patterns for Inertia Rails + React. Load this FIRST when building any Inertia page or feature — it routes to the right skill. Decision matrix for data loading, forms, navigation, state management. NEVER useEffect+fetch, NEVER redirect_to for external URLs (use inertia_location), NEVER react-hook-form (use Form component). MUST invoke when adding pages, models with views, CRUD, or displaying data in an Inertia Rails app. ALWAYS `render inertia: { key: value }` to pass data — `@ivars` are NOT auto-passed as props.

Overview

Publisherinertia-rails
Repositoryskills
Skill nameinertia-rails-architecture
Stars
68
Forks
2
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by inertia-rails on GitHub. Read the source before you install it.

Installation

Install the Inertia Rails Architecture 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/inertia-rails/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/inertia-rails-architecture .claude/skills/inertia-rails-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Inertia Rails Architecture 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 Inertia Rails Architecture 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 Inertia Rails Architecture 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.

Inertia Rails Architecture

Server-driven architecture for Rails + Inertia.js + React when building pages, forms, navigation, or data refresh. Inertia is NOT a traditional SPA — the server owns routing, data, and auth. React handles rendering only.

The Core Mental Model

The server is the source of truth. React receives data as props and renders UI. There is no client-side router, no global state store, no API layer.

Before building any feature, ask:

  • Where does the data come from? → If server: controller prop. If user interaction: useState.
  • Who owns this state? → If it's in the URL or DB: server owns it (use props). If it's ephemeral UI: React owns it.
  • Am I reaching for a React/SPA pattern? → Check the decision matrix below first — Inertia likely has a server-driven equivalent.

Decision Matrix

NeedSolutionNOT This
Page data from serverController propsuseEffect + fetch
Global data (auth, config)inertia_share + usePage()React Context / Redux
Flash messages / toastsRails flash + usePage().flashinertia_share / React state
Form submission<Form> componentfetch/axios + useState
Navigate between pages<Link> / router.visitreact-router / window.location
Refresh specific datarouter.reload({ only: [...] })React Query / SWR
Expensive server dataInertiaRails.deferuseEffect + loading state
Infinite scrollInertiaRails.scroll + <InfiniteScroll>Client-side pagination
Stable reference dataInertiaRails.onceCache in React state
Real-time updates (core)ActionCable + router.reloadPolling with setInterval
Simple polling (MVP/prototyping)usePoll (auto-throttles in background tabs)setInterval + router.reload
URL-driven UI state (dialogs, tabs)Controller reads params → prop, router.get to updateuseEffect + window.location
Ephemeral UI stateuseState / useReducerServer props
External API callsDedicated API endpointMixing with Inertia props

Rules (by impact)

#ImpactRuleWHY
1CRITICALNever useEffect+fetch for page dataInertia re-renders the full component on navigation; a useEffect fetch creates a second data lifecycle that drifts from props and causes stale UI
2CRITICALNever check auth client-sideAuth state in React can be spoofed; server-side checks are the only real gate. Client-side "guards" give false security
3CRITICALUse <Form>, not fetch/axios<Form> handles CSRF, redirect-following, error mapping, file detection, and history state — fetch duplicates or breaks all of this
4HIGHUse <Link> and router, not <a> or window.location<a> triggers a full page reload, destroying all React state and layout persistence
5HIGHUse partial reloads, not React Query/SWRReact Query adds a second cache layer that conflicts with Inertia's page-based caching and versioning
5bHIGHUse usePoll only for MVPs; prefer ActionCable for production real-timeusePoll is convenient but wastes bandwidth — every interval hits the server even when nothing changed. ActionCable pushes only on actual changes
6HIGHUse inertia_share for global data, not React ContextContext re-renders consumers on every change; shared props are per-request and integrated with partial reloads
7HIGHUse Rails flash for notifications, not shared propsFlash auto-clears after one response; shared props persist until explicitly changed, causing stale toasts
8MEDIUMUse deferred/optional props for expensive queriesBlocks initial render otherwise — user sees blank page until slow query finishes
9MEDIUMUse persistent layouts for state preservationWithout persistent layout, layout remounts on every navigation — scroll position, audio playback, and component state are lost
10MEDIUMKeep React components as renderers, not data fetchersMixing data-fetching into components makes them untestable and breaks Inertia's server-driven model

Skill Map

Common workflows span multiple skills — load all listed for complete coverage:

WorkflowLoad these skills
New page with propsinertia-rails-controllers + inertia-rails-pages + inertia-rails-typescript
Form with validationinertia-rails-forms + inertia-rails-controllers
shadcn form inputsinertia-rails-forms + shadcn-inertia
Flash toastsinertia-rails-controllers + inertia-rails-pages + shadcn-inertia
Deferred/lazy datainertia-rails-controllers + inertia-rails-pages
URL-driven dialog/tabsinertia-rails-controllers + inertia-rails-pages
Alba serializationalba-inertia + inertia-rails-typescript
Testing controllersinertia-rails-testing + inertia-rails-controllers

References

MANDATORY — READ ENTIRE FILE before building a new Inertia page or feature: references/AGENTS.md (~430 lines) — full-stack examples for each pattern in the decision matrix above.

MANDATORY — READ ENTIRE FILE when unsure which Inertia pattern to use: references/decision-trees.md (~70 lines) — flowcharts for choosing between prop types, navigation methods, and data strategies.

Do NOT load references for quick questions about a single pattern already covered in the decision matrix above.

When You DO Need a Separate API

Not everything belongs in Inertia's request cycle. Use a traditional API endpoint when:

SignalWhyExample
Non-browser consumerInertia's JSON envelope (component, props, url, version) is designed for the frontend adapter — other consumers can't use itMobile API, CLI tools, payment webhooks
Large-dataset searchDataset is too big to load as a prop; each input needs per-keystroke server filtering. Use raw fetch for the search, let Inertia handle post-selection side effects via props.City/address autocomplete, postal code lookup
Binary/streaming responseInertia can only deliver JSON props. Use a separate route with a standard download response.PDF/CSV export, file downloads

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 Inertia Rails Architecture AI skill do?

Server-driven architecture patterns for Inertia Rails + React. Load this FIRST when building any Inertia page or feature — it routes to the right skill. Decision matrix for data loading, forms, navigation, state management. NEVER useEffect+fetch, NEVER redirect_to for external URLs (use inertia_location), NEVER react-hook-form (use Form component). MUST invoke when adding pages, models with views, CRUD, or displaying data in an Inertia Rails app. ALWAYS `render inertia: { key: value }` to pass data — `@ivars` are NOT auto-passed as props.

Why use Inertia Rails Architecture on TypingMind?

Because you install it once and use it with any model. Inertia Rails Architecture 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 Inertia Rails Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inertia-rails/skills/tree/main/skills/inertia-rails-architecture. 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 Inertia Rails Architecture?

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 Inertia Rails Architecture?

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

Is the Inertia Rails Architecture AI skill free?

Yes. It is published on GitHub by inertia-rails 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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