project-learner

Generate interview-style questions from codebase and docs to assess learning.

Updated May 13, 2026

Search Tags:#codebase analysis #Q&A #knowledge assessment #project learning #interactive coaching

Ready to run

npx skills add https://github.com/CoalSeensei/RagDev --skill project-learner-coalseensei

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: project-learner
Source: https://github.com/CoalSeensei/RagDev/tree/main/.github/skills/project-learner
Command: npx skills add https://github.com/CoalSeensei/RagDev --skill project-learner-coalseensei

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides an interactive learning experience for mastering a project through interview-style Q&A, covering all aspects of the project in detail.

Core Features & Use Cases

Interview-style Q&A: Offers comprehensive interview questions for in-depth understanding.
Dynamic Learning: Generates questions based on knowledge domains and sub-topics.
Evaluation & Guidance: Scores answers and provides learning resources.

Quick Start

Ask "学习项目" to start learning about the project.

Frequently Asked Questions about project-learner

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

FAQPage Schema

How do I learn a new codebase through interactive Q&A?▼

Interactive Q&A helps you learn a codebase by using a coach that reads your project files and docs, dynamically generates interview questions per knowledge domain, and scores your answers to guide mastery.

What is dynamic knowledge assessment for project learning?▼

Dynamic knowledge assessment for project learning generates targeted interview questions based on specific codebase domains and sub-topics, conducting follow-up rounds to evaluate understanding and provide scoring with learning guidance.

Does interactive project coaching require Python to process codebases?▼

Interactive project coaching requires Python and relevant libraries to process code and documentation, enabling the environment to read the codebase and dynamically generate interview questions for the learning experience.

How do I start an interactive coaching session for codebase analysis?▼

To start an interactive coaching session for codebase analysis, prompt the system to begin project learning, and the coach will read your code and docs to dynamically generate interview-style questions.

What is the best way to master a project through reading code and docs?▼

The best way to master a project through reading code and docs is using an interview-style Q&A coach that dynamically generates questions per knowledge domain, scores answers, and provides learning resources for comprehensive understanding.