One-click install
npx skills add https://github.com/kaiohenricunha/dotbabel --skill audit-and-fix-kaiohenricunha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: audit-and-fix
Source: https://github.com/kaiohenricunha/dotbabel/tree/main/plugins/dotbabel/templates/claude/skills/audit-and-fix
Command: npx skills add https://github.com/kaiohenricunha/dotbabel --skill audit-and-fix-kaiohenricunha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually auditing large codebases for issues, clustering related findings into manageable work items, and coordinating fix implementation is time-consuming and error-prone, especially for overnight or domain-wide cleanup runs. This Skill automates the entire end-to-end workflow to eliminate manual coordination overhead.

Core Features & Use Cases

  • Structured Audit Generation: Invokes the /create-audit skill to produce a documented audit of the target domain with clear findings and issue tracking.
  • Intelligent Finding Clustering: Groups related findings into 4–8 PR-sized chunks to avoid unmanageable micro-PRs, with a clear clustering plan printed before implementation.
  • Parallel Fix Implementation: Spawns up to 6 concurrent subagents to implement fixes as draft PRs, with real-time status tracking and failure handling for blocked clusters.
  • Use Case: A team needing to remove deprecated Storage API calls across a 10-service monorepo can run this skill to get a full audit, grouped fix PRs, and tracked progress without manual project coordination.

Quick Start

Use the audit-and-fix skill to audit and fix deprecated Storage API calls across the entire codebase.

Frequently Asked Questions about audit-and-fix

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

FAQPage Schema
How do I automate codebase cleanup for deprecated API usage across a monorepo?▼

You can automate codebase cleanup by generating a structured audit of deprecated API usage, clustering related findings into PR-sized chunks, and spawning parallel subagents to implement fixes as draft pull requests across your monorepo.

What is the best way to group technical debt findings into manageable pull requests?▼

The best way to group technical debt findings is through intelligent clustering, which automatically groups related audit findings into 4 to 8 PR-sized chunks to avoid unmanageable micro-PRs and streamline remediation workflows.

How does parallel implementation work for automated code audit fixes?▼

Parallel implementation works by spawning up to 6 concurrent subagents to implement fixes as draft PRs simultaneously. It includes real-time status tracking and failure handling for blocked clusters during the codebase maintenance run.

Can I run overnight maintenance to remove unused exports and hardcoded business logic?▼

Yes, you can run overnight maintenance to remove unused exports and hardcoded business logic. The automated workflow handles domain-specific code cleanups across multi-package repositories without requiring manual project coordination.

Does this code audit workflow support multi-package repositories?▼

Yes, the code audit workflow fully supports multi-package repositories and monorepos. It audits target domains, clusters findings into work items, and tracks implementation status across all included services.