bee:linting-codebase

Automates detection, grouping, and parallel AI-agent fixing of linting errors across a codebase.

2|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-linting-codebase
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bee:linting-codebase
Source: https://github.com/luanrodrigues/ia-frmwrk/tree/main/default/skills/linting-codebase
Command: npx skills add https://github.com/luanrodrigues/ia-frmwrk --skill bee-linting-codebase

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of identifying and fixing linting errors across a codebase, ensuring code quality and consistency without manual intervention.

Core Features & Use Cases

  • Parallel Lint Fixing: Runs lint checks, groups issues into independent streams, and dispatches AI agents to fix them concurrently.
  • Iterative Improvement: Repeats the linting and fixing process until the codebase is clean or a maximum number of iterations is reached.
  • Use Case: When a developer commits code with multiple linting errors, this Skill can be triggered to automatically resolve them, preventing merge conflicts and saving developer time.

Quick Start

Use the bee:linting-codebase skill to fix all linting issues in the current project.

Frequently Asked Questions about bee:linting-codebase

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

FAQPage Schema
How do I automate fixing linting errors across a codebase?

Automate codebase linting by running checks, grouping issues into independent streams, and dispatching AI agents to fix them concurrently. This process repeats iteratively until the codebase is completely clean or a maximum iteration limit is reached.

Can I fix multiple lint errors in different files at the same time?

Yes, the system groups multiple linting issues across different files or components into independent streams. It then dispatches AI agents to fix these streams concurrently, significantly reducing the time required for codebase cleanup.

What happens if linting errors are not fixed on the first attempt?

If linting errors persist, the system uses iterative improvement to repeat the linting and fixing process. It continues dispatching AI agents until the codebase is clean or a specified maximum number of iterations is reached.

Does automated linting work for large projects with many components?

Automated linting is designed for large projects by grouping issues across different files or components into independent streams. This allows AI agents to resolve errors concurrently, addressing scenarios with multiple lint errors efficiently.

Why use an AI agent for codebase linting instead of a standard linter?

Using an AI agent automates the actual code fixing required after a standard linter identifies issues. It groups errors into independent streams and fixes them concurrently, saving developer time and preventing merge conflicts automatically.