product-question

Analyze source code to explain user-facing behavior and business rules in plain English.

37|2|Updated Mar 25, 2026

Search Tags:#code analysis #codebase investigation #plain English #product explanation #PM tool

Ready to run

npx skills add https://github.com/jpcaparas/skills --skill product-question

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: product-question
Source: https://github.com/jpcaparas/skills/tree/main/skills/product-question
Command: npx skills add https://github.com/jpcaparas/skills --skill product-question

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps product and PM professionals quickly understand and articulate app behavior from code, eliminating the need for complex technical explanations.

Core Features & Use Cases

Codebase Investigation: Analyze code to uncover user-facing behavior, business rules, and exceptions.
Share-Ready Responses: Generate plain-English answers suitable for emails, Slack, or product documentation.
Use Case: When a stakeholder asks why a feature behaves a certain way, use this Skill to investigate the code and provide a concise, jargon-free explanation.

Quick Start

Ask the product-question skill to explain how the 'user registration' feature works in the app.

Frequently Asked Questions about product-question

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

FAQPage Schema

How do I explain complex source code behavior in plain English for stakeholders?▼

To explain source code behavior in plain English, the product-question Skill analyzes your codebase to extract user-facing behavior and business rules, providing concise, jargon-free explanations suitable for stakeholders. It handles edge cases with confidence labels.

Can I extract business rules and exceptions directly from a codebase for product documentation?▼

Yes, you can extract business rules and exceptions directly from a codebase for product documentation. The Skill investigates source code to interpret user-facing behavior and exceptions, generating share-ready responses for emails and product docs.

Do I need Python 3 to analyze source code for product explanations?▼

Yes, you need Python 3 installed to analyze source code for product explanations. The Skill requires Python 3 to execute its internal scripts and investigate the codebase to extract business rules and user-facing behavior.

What is the best way to translate codebase investigation results into jargon-free product answers?▼

The best way to translate codebase investigation results into jargon-free product answers is using a dedicated PM tool that analyzes source code and outputs plain-English explanations. It extracts business rules and handles uncertainties with confidence labels.

How does code analysis handle edge cases and uncertainties when generating product explanations?▼

Code analysis handles edge cases and uncertainties by applying confidence labels to the generated product explanations. When investigating the codebase for business rules, the Skill explicitly marks uncertainties to ensure accurate plain-English responses.

Why does my codebase investigation produce technical jargon instead of product-ready explanations?▼

Your codebase investigation produces technical jargon because it lacks a plain-English translation layer. The product-question Skill bridges this gap by interpreting source code and generating concise, share-ready answers tailored for PM stakeholders.