Svelte Code Writer

Name: Svelte Code Writer
Author: sveltejs

Official

sveltejs·vlatest·frontend·MIT

Generates clean, efficient Svelte components and code snippets based on your descriptions and requirements.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add sveltejs/ai-tools --skill svelte-code-writer -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sveltejs

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 30 Sept 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned sveltejs/ai-tools at a5a92c680e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: a5a92c680e
Manifest: tools/skills/svelte-code-writer/SKILL.md
Scanned: 3 files, 165 lines
Copies in repo: 3 — all of them scanned

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

This skill allows AI agents to generate Svelte code. It can create components, layouts, and other Svelte structures based on natural language instructions. The agent can produce functional code snippets or complete project files, accelerating frontend development workflows.

When to use it

Rapid prototyping: Quickly generate basic UI elements for testing ideas without manual coding.
Component creation: Have the AI write a specific Svelte component based on a description of its functionality and appearance.
Code scaffolding: Generate initial project structures or boilerplate code for new Svelte projects.
Learning Svelte: Use the skill to generate examples of different Svelte features and patterns.

Key capabilities

Svelte code generation
Component creation
Layout generation
Project scaffolding

Example prompts

"Create a Svelte component that displays a counter with increment and decrement buttons."
"Generate the basic structure for a Svelte app with a navigation bar and a main content area."
“Write a Svelte component to display a list of items fetched from an API.”

Tips & gotchas

The quality of generated code depends heavily on the clarity and specificity of the prompt. Providing detailed instructions about desired functionality, styling, and data sources will yield better results.