ask

Answers questions about AI-written code from the author's perspective.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/wendeus0/AI-dotfiles --skill ask-wendeus0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ask
Source: https://github.com/wendeus0/AI-dotfiles/tree/main/core/skills/ask
Command: npx skills add https://github.com/wendeus0/AI-dotfiles --skill ask-wendeus0

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

You can understand unfamiliar AI-written code by asking the original author questions about design decisions, implementation details, and rationale behind choices.

Core Features & Use Cases

  • Ask questions about code authorship and intent
  • Retrieve design rationale from the author's perspective
  • Use in code reviews, onboarding, and debugging sessions

Quick Start

Ask the tool a question about a specific file or code region to get the author's reasoning.

Frequently Asked Questions about ask

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

FAQPage Schema
How do I understand the rationale behind AI-written code during a review?

To understand AI-written code rationale during a review, you can retrieve design insights by tracing original prompts and conversations to answer from the author's perspective. This resolves questions about why specific implementation choices exist.

What is the best way to get design intent for unfamiliar code during onboarding?

The best way to get design intent for unfamiliar code during onboarding is asking the original author questions about implementation details. This traces recorded prompts to provide concise rationale and context for comprehension tasks.

Can I ask questions about a specific code region for debugging purposes?

Yes, you can ask questions about a specific code region for debugging purposes. The tool queries the author's reasoning by accessing code text and recorded prompts to return a concise explanation of the change.

Does this code explanation tool require external dependencies or data sources?

No, this code explanation tool has no external dependencies. It satisfies explicit data source constraints by using a minimal, deterministic subagent with access only to code text and recorded prompts.

When should I not use an author-perspective approach for code comprehension?

You should not use an author-perspective approach for code comprehension when original prompts and recorded conversations are unavailable. The tool requires these historical traces to accurately reconstruct the author's design rationale.