improve

Audit codebases for security, performance, and architectural issues and generate implementation plans.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/allanweber/cartogra --skill improve-allanweber
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: improve
Source: https://github.com/allanweber/cartogra/tree/main/.agents/skills/improve
Command: npx skills add https://github.com/allanweber/cartogra --skill improve-allanweber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining large codebases by providing expert-level architectural analysis and creating actionable, self-contained implementation plans that any model can execute.

Core Features & Use Cases

  • Expert Auditing: Performs deep-dive analysis across security, performance, correctness, and technical debt categories.
  • Implementation Planning: Generates detailed, step-by-step plans that include verification commands, scope boundaries, and drift checks.
  • Use Case: Use this Skill to audit a legacy repository for security vulnerabilities and tech debt, then generate a prioritized roadmap of implementation plans for junior developers or other AI agents to execute.

Quick Start

Use the improve skill to audit the current repository and generate a prioritized implementation plan for the top three identified issues.

Frequently Asked Questions about improve

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

FAQPage Schema
How do I audit a legacy codebase for security vulnerabilities and technical debt?

You can conduct a comprehensive codebase audit by performing a systematic, read-only analysis of your source code and documentation to identify security vulnerabilities, performance bottlenecks, and technical debt across the repository.

How do I generate implementation plans for automated code refactoring?

Generate implementation plans for automated refactoring by creating structured, self-contained documents that include step-by-step instructions, scope boundaries, verification gates, and drift checks for automated execution by any model.

Can I use an automated codebase audit to create a roadmap for junior developers?

Yes, you can use an automated codebase audit to analyze technical debt and architectural issues, then generate a prioritized roadmap of detailed, self-contained implementation plans specifically structured for junior developers or AI agents to execute.

What is the best way to reduce technical debt across a large software architecture?

The best way to reduce technical debt in a large software architecture is to perform deep-dive analysis across correctness and performance categories, then systematically generate structured implementation plans with scope constraints and verification commands.

Does codebase auditing require modifying the source code during analysis?

No, codebase auditing does not require modifying the source code; it facilitates technical debt reduction and roadmap development through a strictly systematic, read-only analysis of your existing source code and documentation.