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.