ultracite

Enforce AI-ready formatting and linting across code and markup files.

Updated Oct 18, 2025
One-click install
npx skills add https://github.com/masonjames/sparka --skill ultracite-masonjames
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ultracite
Source: https://github.com/masonjames/sparka/tree/main/.claude/skills/ultracite
Command: npx skills add https://github.com/masonjames/sparka --skill ultracite-masonjames

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ultracite provides AI-ready formatting and linting to automatically enforce consistent code styles and quality across diverse file types, reducing manual review time and errors.

Core Features & Use Cases

  • AI-ready formatter and linter that supports multiple languages and file types.
  • Enforces project-wide style guides and code quality standards with deterministic results.
  • Use Case: Integrate into CI/CD workflows to format PRs and catch style issues early.

Quick Start

Run Ultracite on the project to format and lint all eligible files.

Frequently Asked Questions about ultracite

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce consistent code formatting and linting across multiple file types?▼

You can enforce consistent code formatting and linting by running an automated linter that supports ts, js, json, html, css, yaml, and markdown files. This applies project-wide style guides and deterministic quality standards across diverse file types.

What is AI-ready linting and how does it maintain code quality?▼

AI-ready linting automatically enforces consistent code styles and quality standards across diverse file types using deterministic rule sets. This process reduces manual review time and catches formatting inconsistencies early.

Can I integrate automated formatting and linting into CI/CD pipelines?▼

Yes, you can integrate automated formatting and linting into CI/CD workflows to format pull requests and catch style issues early. This ensures project-wide code quality standards are enforced during continuous integration.

Does this static analysis tool support frontend frameworks like Vue, Svelte, and Astro?▼

Yes, the static analysis tool supports Vue, Svelte, and Astro file formats alongside ts, js, json, html, css, yaml, and markdown. It applies AI-ready linting and formatting rules across all these supported markup and code files.

How do I configure custom linting rules for a multilang codebase?▼

You can configure custom linting rules for a multilang codebase using AI-ready rule sets to tailor formatting and linting behavior. This allows you to enforce specific project-wide style guides and quality standards across diverse languages.

What are the limitations of using automated formatting for markdown and MDX files?▼

Automated formatting for markdown and MDX files applies deterministic style enforcement but relies on configured AI-ready rule sets. Complex or non-standard syntax structures may require manual review to ensure formatting consistency.