Analyze source code to explain user-facing behavior and business rules in plain English.
npx skills add https://github.com/jpcaparas/skills --skill product-question
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
This Skill helps product and PM professionals quickly understand and articulate app behavior from code, eliminating the need for complex technical explanations.
Ask the product-question skill to explain how the 'user registration' feature works in the app.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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