doublecheck

Generate learning-focused explanations for AI-written code with structured deep-dives.

Updated Feb 23, 2026

Search Tags:#learning #resources #explanation #code-analysis #design-patterns #ai-code

Ready to run

npx skills add https://github.com/schirrmacher/coding --skill doublecheck-schirrmacher

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: doublecheck
Source: https://github.com/schirrmacher/coding/tree/main/skills/doublecheck
Command: npx skills add https://github.com/schirrmacher/coding --skill doublecheck-schirrmacher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AntiVibe transforms AI-generated code into educational explanations, helping developers understand what the code does, why it was written, and how to apply it in real projects.

Core Features & Use Cases

Deep-dives that break down functionality, design decisions, and CS concepts.
Curated resources for deeper study.
Phase-aware learning paths that organize explanations by implementation stage.

Quick Start

Invoke a deep dive on AI-generated code with /doublecheck or say "deep dive" to start.

Frequently Asked Questions about doublecheck

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

FAQPage Schema

How do I get explanations for AI-written code?▼

To get explanations for AI-written code, invoke a deep dive using the /doublecheck command or say "deep dive" to generate structured learning-focused breakdowns of functionality and design decisions.

What is the best way to learn design patterns from AI-generated code?▼

Learning design patterns from AI-generated code is achieved through automated deep-dives that break down functionality, explain computer science concepts, and curate resources for deeper study.

How does automated code analysis work for proactive learning?▼

Automated code analysis for proactive learning works by generating phase-aware learning paths that organize explanations by implementation stage, applying to after-task analysis and code walkthroughs.

Can I use this for after-task code walkthroughs?▼

Yes, you can use it for after-task code walkthroughs, as it automates the generation of explanations for design decisions and curates resources saved under the deep-dive directory.

Does this tool save curated learning resources automatically?▼

Yes, it saves curated resources automatically under the deep-dive directory, satisfying requirements for structured outputs including deep-dives and concepts explained.

When do I need a deep dive for AI code?▼

You need a deep dive for AI code when you want to turn AI-written code into learning by understanding what the code does, why it was written, and how to apply it in real projects.