marsai:linting-codebase

Group lint issues into independent streams and dispatch AI agents to fix them.

2|Updated Apr 10, 2026

Search Tags:#automation #devops #codebase #parallel #static-analysis #lint #fixes

Ready to run

npx skills add https://github.com/V4-Company/marsai --skill marsai-linting-codebase

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Please help me install this Agent Skill.
Skill: marsai:linting-codebase
Source: https://github.com/V4-Company/marsai/tree/main/default/skills/linting-codebase
Command: npx skills add https://github.com/V4-Company/marsai --skill marsai-linting-codebase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing lint across a codebase can be slow and error-prone when fixes are attempted in isolation. This Skill automates and orchestrates lint fixes by grouping issues into independent streams and dispatching AI agents to fix them until the codebase passes lint checks.

Core Features & Use Cases

Group lint issues into independent streams based on file or module boundaries to enable safe parallel work.
Dispatch AI agents to fix issues concurrently, reducing overall remediation time while avoiding conflicts.
Iterate until lint checks pass, providing a verifiable, clean state ready for review or release.

Quick Start

Invoke the lint workflow with /marsai:lint to start parallel streams and fix eligible issues.

Frequently Asked Questions about marsai:linting-codebase

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

FAQPage Schema

How do I automate lint fixes across a multi-file codebase?▼

You can automate lint fixes across a codebase by grouping issues into independent streams and dispatching AI agents to fix them concurrently. The Skill orchestrates parallel work to reduce remediation time while avoiding conflicts.

What is the best way to fix lint errors in parallel without causing conflicts?▼

The best way to fix lint errors in parallel is by grouping issues based on file or module boundaries. This creates independent streams that AI agents can work on concurrently without conflicting with each other.

How does parallel static analysis handle iterative lint checks?▼

Parallel static analysis handles iterative lint checks by applying direct, minimal edits and validating them with subsequent lint runs. It iterates until checks pass, providing a verifiable, clean state ready for review.

Can I use parallel lint fixes for large codebases spanning multiple modules?▼

Yes, you can use parallel lint fixes for multi-file projects where lint errors span modules. The Skill specifically applies to large codebases that require safe, parallel work to avoid conflicts across module boundaries.

How do I start an automated lint workflow for my project?▼

You can start an automated lint workflow by invoking the lint command to start parallel streams and fix eligible issues. The Skill orchestrates the dispatch of AI agents to handle the codebase fixes automatically.

What are the limitations of automating lint fixes with AI agents?▼

Automating lint fixes with AI agents works within a defined maximum of iterative checks. Edits are direct and minimal, meaning the automation focuses on safe remediation rather than complex refactoring or architectural changes.