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𝕏@adikara55GitHub

code

Inspect, modify, and validate codebase changes with apply_patch, rg, and linting.

Updated Feb 13, 2026
Search Tags:#automation#analysis#debug#refactor#code#patch#lint
One-click install
npx skills add https://github.com/kardelitaitu/auto-ai --skill code-kardelitaitu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code
Source: https://github.com/kardelitaitu/auto-ai/tree/main/.agents/skills/code
Command: npx skills add https://github.com/kardelitaitu/auto-ai --skill code-kardelitaitu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Facilitates concise codebase inspection, safe edits, and validation to accelerate reliable changes in a repository.

Core Features & Use Cases

  • Code Analysis: understand structure, dependencies, and risks within a project.
  • Refactoring & Generation: safely restructure code and generate new snippets while preserving behavior.
  • Documentation & Validation: generate or enforce documentation and run lint/tests to validate changes.
  • Use Case: before implementing a feature or fixing a bug, quickly inspect related modules, propose targeted edits, and verify with tests.

Quick Start

Ask the AI to inspect the repository, implement a small, scoped change using apply_patch, and validate via lint and tests.

Frequently Asked Questions about code

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

FAQPage Schema
How do I inspect a codebase before implementing a new feature or bug fix?▼

Codebase inspection involves using targeted searches with ripgrep to understand project structure, dependencies, and risks. This allows you to quickly analyze related modules before safely proposing scoped edits and verifying changes with tests.

What is the best way to safely apply code patches and refactor without breaking existing behavior?▼

Safe code refactoring uses non-destructive edits via apply_patch to restructure code while preserving behavior. You generate new snippets, apply modifications, and validate the changes through linting and tests to ensure repository conventions are maintained.

How do I automate code analysis and validation tasks across multiple project structures?▼

Automating code analysis and validation involves inspecting the repository, applying scoped modifications, and running lint and tests. This ensures reliable changes across multiple languages and project structures without violating repo conventions.

Can I use this for updating tests and enforcing documentation across different programming languages?▼

Yes, you can enforce documentation and update tests across multiple languages. The process applies non-destructive edits and validates them through linting and tests to ensure documentation and code changes align with project conventions.

What are the limitations of using targeted searches for codebase inspection?▼

Targeted searches with rg require specific queries to be effective and do not automatically fix issues. You must manually analyze the returned results and use apply_patch for non-destructive edits to ensure safe code modifications.

Does the code Skill work with my existing repository conventions and linting setup?▼

Yes, it preserves repository conventions by requiring non-destructive edits and verifying modifications through existing linting and tests. This ensures all generated code and refactoring adhere to your project's specific validation rules.

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