A collection of skills that improve how AI coding agents scaffold, review, and architect Svelte 5 and SvelteKit applications. Instead of generating outdated patterns, the AI follows modern Svelte 5 best practices with runes-based reactivity, TypeScript strict mode, and Tailwind CSS v4.
Works via CLI for all major AI coding agents (Cursor, Antigravity, Claude Code, Codex, Windsurf, Copilot, etc.):
npx skills add https://github.com/OliveiraCleidson/svelte-5-skills
| Skill | Description |
|---|---|
| svelte5-init | Scaffolds production-ready Svelte 5 + SvelteKit projects. Covers 6 deployment targets (Cloudflare, Vercel, Netlify, Node, Static, SPA), Tailwind CSS v4, and full project structure. |
| svelte5-review | Expert code review for Svelte 5 components. Validates rune correctness, template syntax, state management, cohesion, TypeScript safety, and performance. |
| sveltekit-review | Architectural review for SvelteKit apps. Covers routing, load functions, form actions, rendering modes, hooks, security, performance, and accessibility. |
Scaffolds production-ready Svelte 5 + SvelteKit projects using the sv CLI. Configures the full stack out of the box:
App namespace declarations$lib/server/, $lib/components/, $lib/stores/, $lib/utils/$state, $derived, $effect, $props), snippets, attachmentsExpert-level code review focused on Svelte 5 component correctness and quality:
$state, $derived, $effect, $props, $bindable{#snippet} + {@render}, {@attach}, and onclick={} patterns.svelte.ts files, Context API, no global state in SSRany$state.raw for large data, keyed {#each}, lazy importsArchitectural review for SvelteKit applications covering routing, rendering, and server-side patterns:
fail(), named actionsprerender, ssr, csr flagssequence() composition$lib/server/, auth cookie flags, input sanitizationDoes it work with all AI coding agents? Yes. These skills use the Agent Skills standard and work across Cursor, Claude Code, Antigravity, Codex, Windsurf, Copilot, and any agent that supports SKILL.md files.
What is a SKILL.md file? A portable instruction file that AI coding agents detect and follow automatically. No configuration is needed — just install it and your agent reads it.
Why separate skills instead of one big file? Each skill has a focused scope. You can install only what you need: scaffolding for new projects, component review for code quality, or architecture review for full apps.
I'd love to hear your thoughts! If you have suggestions or find any bugs:
This project is licensed under the MIT License — see the LICENSE file for details.