Add Backend logo

Add Backend

Community
ahpxex
add-backend

Everything about the data layer — pick one of six ready-to-run backend templates (TanStack Start + Drizzle + better-auth, Hono + Drizzle + better-auth, Hono + Prisma + better-auth, Hono + Drizzle + Auth.js/NextAuth, FastAPI + SQLAlchemy + JWT, Supabase) and wire the frontend to it through the Repository + AuthProvider seams; scaffold a CRUD resource (Postgres table + server fns + query hooks + DataTable page + create/edit dialog + sidebar entry); bind or swap one resource's data source (Drizzle / REST / GraphQL / in-memory); or re-point the whole app's data + auth at a different backend. Use when adding a data entity or pointing the app at a backend other than the default Postgres + better-auth.

Overview

Publisherahpxex
Repositoryopen-dashboard
Skill nameadd-backend
Stars
148
Forks
13
Bundled files
82
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.

  • 82 bundled files

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

  • Open source

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

Installation

Install the Add Backend 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/ahpxex/open-dashboard/tree/main/.claude/skills/add-backend
  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/ahpxex/open-dashboard.git /tmp/open-dashboard
mkdir -p .claude/skills
cp -r /tmp/open-dashboard/.claude/skills/add-backend .claude/skills/add-backend
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Backend 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 Add Backend 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 Add Backend 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.

Add a backend (resources, data sources & presets)

The app is backend-agnostic by design: it reaches data and auth only through two seams, so adding a resource, swapping one resource's data source, or re-pointing the whole app at a different backend are all localized operations.

Routing rule: use add-backend whenever a screen needs its own data (a new entity/table, or a different backend); use add-component when composing UI on top of data that already exists.

ConcernSeamDefault presetSwap point
Business data (resources)Repository<T, TInput> (@/infra/data/repository)Postgres via drizzleRepository; in-memory when no DBeach resource's server.ts binding
Auth (server)AuthProvider (@/lib/auth-provider)better-auth (betterAuthProvider)the authProvider binding
Auth (browser)@/lib/auth-clientbetter-auth React clientreimplement that one file

Zero-config (bun dev, no DATABASE_URL) already runs on in-memory presets, so you can build UI before wiring a real backend. Full guides: docs/data-adapters.md, docs/backends.md.

Backend presets — ready-to-run templates

Six runnable backend templates ship in this skill's templates/<preset>/ (generated from the repo's backends/ source and contract-tested — templates/<preset>/README.md

  • a shared CONTRACT.md). Pick one as the project's backend; each connects to the dashboard frontend through the two seams above — no page, query, table, or form changes — and each is independently verified.
PresetStackFrontend wiringReference
tanstack-drizzle-betterauthTanStack Start server fns + Drizzle + better-auth (in-process — the default)none — it is the scaffoldreferences/tanstack-drizzle-betterauth.md
hono-drizzle-betterauthHono + Drizzle + better-auth (standalone TS service)restRepository + remoteBetterAuthProviderreferences/hono-drizzle-betterauth.md
hono-prisma-betterauthHono + Prisma + better-auth (standalone TS service)restRepository + remoteBetterAuthProvider (same as Drizzle)references/hono-prisma-betterauth.md
hono-drizzle-authjsHono + Drizzle + Auth.js / NextAuth v5 (standalone TS service)restRepository + remoteAuthjsProvider + authjs clientreferences/hono-drizzle-authjs.md
fastapi-sqlalchemy-jwtFastAPI + SQLAlchemy + JWT (standalone Python service)restRepository + externalJwtAuthProviderreferences/fastapi-sqlalchemy-jwt.md
supabaseSupabase Postgres + Auth (BaaS — SQL + config)supabaseRepository + Supabase AuthProvider (copy-ready)references/supabase.md

The HTTP-API presets (the hono-* services + fastapi) all speak one shared wire contract, so their frontend auth providers ship pre-wired and typechecked in the base under src/lib/auth-providers/ (externalJwtAuthProvider, remoteBetterAuthProvider, remoteAuthjsProvider) — activating is a one-line swap. Supabase needs the Supabase SDKs, so its wiring ships as copy-ready files in templates/supabase/frontend-wiring/.

Stack matrix: framework (TanStack / Hono / FastAPI / Supabase) × ORM (Drizzle / Prisma / SQLAlchemy) × auth (better-auth / Auth.js / custom-JWT / Supabase). The presets are the idiomatic, verified combinations — not a blind cartesian product.

To stand up a preset:

  1. Read references/<preset>.md (Add it / Foundation / Invariants / Verify).
  2. Copy the template out as the service (cp -R templates/<preset> <dest>); follow its README to run it (zero-config: SQLite + a dev secret, one install + one run command).
  3. Wire the frontend: bind the resource's server.ts to the preset's Repository adapter (§2) and point authProvider at the preset's AuthProvider (§3).
  4. Verify end-to-end (the reference's Verify block).

The numbered sections below are the building blocks these presets compose: add a resource (§1), bind/swap a data source (§2), swap the auth preset (§3).

1. Add a CRUD resource

The CRUD table is the base archetype. products is the canonical reference; orders is a generated example.

  1. Generate the vertical (table + feature + route + sidebar entry, auto-formatted):
    bash
    bun run create-resource <plural-name>   # e.g. customers
    This creates src/features/<name>/{schema,server,demo-data,queries,columns,config}.ts(x) and the route src/routes/_app/<name>.tsx, appends a Drizzle table to src/db/schema.ts, and inserts a sidebar item. Like products, the generated server.ts binds drizzleRepository when DATABASE_URL is set and falls back to memoryRepository over demo-data.ts otherwise — so the new resource runs under zero-config bun dev (no database) before you ever migrate.
  2. Customise the fields in src/db/schema.ts (the appended pgTable) and in src/features/<name>/schema.ts (the zod input / form / list-params schemas). Keep numeric form fields non-coercing in *FormSchema (input must match the form value type); the server *InputSchema may coerce. Filter params that can be numeric must use z.coerce.string() (the router JSON-parses search params).
  3. Adjust columns.tsx (cells, sortable columns), config.ts (filters, search placeholder), the server.ts repository config (searchColumns / sortColumns / filterColumns on the drizzle branch, and the matching searchFields / sortFields / filterFields on the memory branch), and the seed rows in demo-data.ts.
  4. Migrate (only on Postgres — zero-config dev needs no DB): bun run db:generate && bun run db:migrate.
  5. Verify: bun run typecheck && bun run check && bun run test, then open /<name> (it lists the demo-data.ts rows with no DB).

Resource invariants (must hold)

  • Every server-fn handler calls requireUser() first and validates input via .validator((data) => zodSchema.parse(data)) (an arrow wrapper, not a bare zodSchema.parse method reference).
  • List state lives in the URL (validateSearch + useTableSearch); never local useState.
  • Mutations show a toast and invalidate the resource's query keys; deletes go through useConfirm().
  • The repository binding lives in server.ts (server-only): drizzleRepository from @/infra/data/drizzle-repository behind hasDatabase, with a memoryRepository fallback for zero-config dev — never imported from a client component.
  • The page wraps DataTable in a full-height flex column — <div className="flex h-full flex-col gap-6"> with the header as shrink-0 — so the pagination bar pins to the bottom (the shell sizes each page to the viewport). The generator emits this; keep it.

2. Bind / swap a resource's data source

Every page archetype is written against Repository<T, TInput> (src/infra/data/repository.ts), so swapping a resource's backend touches only its server.ts binding — queries.ts, columns.tsx, the table/detail/form, and the route do not change.

Adapters:

  • Drizzle (Postgres) — drizzleRepository(table, config) from @/infra/data/drizzle-repository (import directly; server-only). Backs products/orders.
  • In-memory — memoryRepository(seed, config). The zero-config default; backs every demo when DATABASE_URL is unset.
  • REST — restRepository({ baseUrl, path, map, … }) from @/infra/data. Backs posts (jsonplaceholder). Defaults target json-server (_page/_limit/_sort/_order/q + x-total-count); override params / totalHeader for other shapes.
  • GraphQL — graphqlRepository({ endpoint, map, operations }) from @/infra/data. Each op supplies a document + variable builder + extractor.

To back a resource with REST/GraphQL (no DB table needed):

  1. Define the resource's type + zod schemas.
  2. In server.ts, build the repository with the right adapter and a map from the raw API record to your type; wrap each op in a createServerFn handler that calls requireUser() (the fetch stays server-side, so API keys never reach the client):
    ts
    export const widgetsRepository = restRepository<Widget, WidgetInput>({
      baseUrl: process.env.WIDGETS_API_URL!,
      path: "/widgets",
      map: (raw) => ({ ...raw }),
    });
  3. Map the resource's flat list params to the repository's filters (toListParams). Numeric filter params → z.coerce.string().

Data-source invariants

  • Adapters run only inside server fns. The @/infra/data barrel is isomorphic-safe (no @/db); the Drizzle adapter is imported from its own path.
  • Always provide a unit test mocking the transport (fetch / db) — see rest-repository.test.ts, graphql-repository.test.ts, drizzle-repository.test.ts.

3. Swap the whole-app backend + auth preset

Two classes of data, two different rules:

  • Business data (your resources) — swap per resource via the Repository adapter in server.ts (section 2).
  • Platform data (users/sessions, later RBAC) — owned by the auth preset; swap it via AuthProvider (server) + @/lib/auth-client (browser).

Implement AuthProvider and point authProvider at it. The contract:

ts
export interface AuthProvider {
  getSession(headers: Headers): Promise<AuthSession | null>; // AuthSession = { user: { id; email; name; image? } }
  handler(request: Request): Promise<Response>;              // serves /api/auth/*
}

For the bundled presets these now ship as real files — activate, don't hand-write. src/lib/auth-providers/external-jwt.ts (externalJwtAuthProvider, custom-JWT like the FastAPI preset) and src/lib/auth-providers/remote-better-auth.ts (remoteBetterAuthProvider, remote better-auth like the Hono preset) are pre-wired and typechecked; the Supabase provider is copy-ready in templates/supabase/frontend-wiring/auth-provider.ts. The examples below show the shape behind those files.

Example: Supabase auth provider

ts
// src/lib/auth-provider.ts (replace betterAuthProvider). bun add @supabase/ssr
import { createServerClient, parseCookieHeader } from "@supabase/ssr";

export const supabaseAuthProvider: AuthProvider = {
  async getSession(headers) {
    const cookies = parseCookieHeader(headers.get("cookie") ?? "");
    const supabase = createServerClient(
      process.env.SUPABASE_URL!,
      process.env.SUPABASE_ANON_KEY!,
      { cookies: { getAll: () => cookies } },
    );
    const { data } = await supabase.auth.getUser();
    if (!data.user) return null;
    return {
      user: {
        id: data.user.id,
        email: data.user.email ?? "",
        name: data.user.user_metadata?.name ?? data.user.email ?? "",
      },
    };
  },
  // Supabase auth runs client-side; no /api/auth/* routes to serve.
  handler: async () => new Response("Not found", { status: 404 }),
};

export const authProvider: AuthProvider = supabaseAuthProvider;

Then reimplement @/lib/auth-client with Supabase's browser client, exporting the same signIn / signUp / signOut / useSession surface the auth pages use.

Example: external-API (JWT) auth provider

ts
// src/lib/auth-provider.ts (replace betterAuthProvider)
export const externalApiAuthProvider: AuthProvider = {
  async getSession(headers) {
    const cookie = headers.get("cookie") ?? "";
    const token = /(?:^|;\s*)session=([^;]+)/.exec(cookie)?.[1];
    if (!token) return null;
    const res = await fetch(`${process.env.AUTH_API_URL}/me`, {
      headers: { authorization: `Bearer ${token}` },
    });
    if (!res.ok) return null;
    const u = await res.json();
    return { user: { id: String(u.id), email: u.email, name: u.name } };
  },
  // Proxy login/logout to the upstream API (set the session cookie on success).
  handler: async (request) => {
    const hasBody = request.method !== "GET" && request.method !== "HEAD";
    return fetch(
      `${process.env.AUTH_API_URL}/auth${new URL(request.url).pathname.replace("/api/auth", "")}`,
      {
        method: request.method,
        headers: request.headers,
        // Buffer the body before forwarding. Passing the raw `request.body`
        // ReadableStream to Node/undici's fetch requires `duplex: "half"` and
        // still can't be retried; reading it to a string sidesteps both.
        body: hasBody ? await request.text() : undefined,
      },
    );
  },
};

export const authProvider: AuthProvider = externalApiAuthProvider;

A different SQL engine (MySQL/SQLite/Turso) needs no preset swap — Drizzle supports them; see docs/backends.md for the files to touch.

Preset invariants

  • The app reaches auth ONLY via authProvider (server) and @/lib/auth-client (browser). Never call a specific auth SDK from a route or component.
  • getSession returns the normalized AuthSession ({ user: { id, email, name } }) so requireUser, the _app guard, and the route context are backend-neutral.
  • Keep the server seam server-only: auth-provider.ts may import DB/SDK clients, so it must only be reached from require-user, the api route, and the dynamic import in auth-server — never statically from a client-reachable module.

Verify

bun run typecheck && bun run check && bun run test (and bun run build for an auth-preset swap), then bun run dev: open /<name> and confirm list/paginate/filter/search work; for an auth swap, an unauthenticated request to / redirects to /login, sign-in works, and a protected page loads its data.

Bundled files

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

and 22 more files.

Frequently asked questions

What does the Add Backend AI skill do?

Everything about the data layer — pick one of six ready-to-run backend templates (TanStack Start + Drizzle + better-auth, Hono + Drizzle + better-auth, Hono + Prisma + better-auth, Hono + Drizzle + Auth.js/NextAuth, FastAPI + SQLAlchemy + JWT, Supabase) and wire the frontend to it through the Repository + AuthProvider seams; scaffold a CRUD resource (Postgres table + server fns + query hooks + DataTable page + create/edit dialog + sidebar entry); bind or swap one resource's data source (Drizzle / REST / GraphQL / in-memory); or re-point the whole app's data + auth at a different backend. Us...

Why use Add Backend on TypingMind?

Because you install it once and use it with any model. Add Backend 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 Add Backend in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahpxex/open-dashboard/tree/main/.claude/skills/add-backend. 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 Add Backend?

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 Add Backend?

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

Is the Add Backend AI skill free?

Yes. It is published on GitHub by ahpxex 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 👇