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Sveltekit Remote Functions

Community
spences10
sveltekit-remote-functions

SvelteKit remote functions guidance. Use for query(), form(), command(), and prerender() patterns in .remote.ts files.

Overview

Publisherspences10
Repositorysvelte-skills-kit
Skill namesveltekit-remote-functions
Stars
93
Forks
2
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by spences10 on GitHub. Read the source before you install it.

Installation

Install the Sveltekit Remote Functions 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/spences10/svelte-skills-kit.git /tmp/svelte-skills-kit
mkdir -p .claude/skills
cp -r /tmp/svelte-skills-kit/plugins/svelte-skills/skills/sveltekit-remote-functions .claude/skills/sveltekit-remote-functions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sveltekit Remote Functions 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 Sveltekit Remote Functions 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 Sveltekit Remote Functions 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.

SvelteKit Remote Functions

Current Status

Remote functions are experimental in SvelteKit 2.58. Enable them in svelte.config.js:

js
export default {
	kit: { experimental: { remoteFunctions: true } },
	compilerOptions: { experimental: { async: true } } // only for await in components
};

Quick Start

File naming: export remote functions from *.remote.ts or *.remote.js. Remote files can live anywhere under src except src/lib/server.

Which function?

  • Dynamic reads → query()
  • Progressive forms → form()
  • Event-handler mutations → command()
  • Build-time/static reads → prerender()

Example

ts
// posts.remote.ts
import { command, query, requested } from '$app/server';
import * as v from 'valibot';

export const getPosts = query(v.object({ tag: v.optional(v.string()) }), async (filter) => {
	return db.posts.find(filter);
});

export const createPost = command(v.object({ title: v.string() }), async (data) => {
	await db.posts.create(data);

	for (const { query } of requested(getPosts, 5)) {
		void query.refresh();
	}
});

Client:

svelte
<script lang="ts">
	import { createPost, getPosts } from './posts.remote';

	const posts = $derived(await getPosts({ tag: 'svelte' }));
</script>

<button onclick={() => createPost({ title: 'New' }).updates(getPosts)}>
	Create
</button>

Current Rules

  • Remote functions always run on the server, even when called from the browser.
  • Args/returns use devalue; avoid functions, class instances, symbols, circular refs, and RegExp.
  • Validate exposed inputs with Standard Schema (valibot, zod, arktype, etc.) or use .unchecked/'unchecked' deliberately.
  • query.batch() batches calls from the same macrotask to solve n+1 reads.
  • form().enhance() submit() returns true when submission is valid/successful and false for validation failures.
  • .updates() is client-requested; server handlers must opt in with requested(queryFn, limit).
  • requested() now yields { arg, query }; call query.refresh()/query.set(...) on the bound instance.
  • limit is required for requested() to cap client-controlled refresh requests.
  • Inside command/form handlers, use void query.refresh()/void query.set(value); SvelteKit awaits and serializes the updates.
  • Prefer form() over command() where progressive enhancement matters.
  • Use prerender() for data that changes at most once per deployment.
  • Last verified: SvelteKit 2.58.0, 2026-04-24

Reference Files

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 Sveltekit Remote Functions AI skill do?

SvelteKit remote functions guidance. Use for query(), form(), command(), and prerender() patterns in .remote.ts files.

Why use Sveltekit Remote Functions on TypingMind?

Because you install it once and use it with any model. Sveltekit Remote Functions 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 Sveltekit Remote Functions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/spences10/svelte-skills-kit/tree/main/plugins/svelte-skills/skills/sveltekit-remote-functions. 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 Sveltekit Remote Functions?

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 Sveltekit Remote Functions?

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

Is the Sveltekit Remote Functions AI skill free?

It is published on GitHub by spences10. Check the repository for licensing terms. 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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