Can I skip the exercises if I'm in a rush?

Yes. The skill always asks for permission before starting an exercise and includes escape hatches to resume normal coding at any time.

How long do the exercises typically take?

Each interactive exercise is designed to be brief and impactful, usually taking between 10 to 15 minutes to complete.

What is the 'AI productivity trap'?

The AI productivity trap occurs when a developer ships code quickly using AI but fails to understand the underlying logic, leading to a gap in genuine skill development.

When does this skill suggest learning exercises?

Exercises are offered after major changes such as creating new modules, database schema updates, or when architectural design decisions are made.

What is Orientation Mode?

Orientation Mode uses a repository-specific file to guide you through a new codebase, helping you understand its structure and logic through active exploration.

Learning Opportunities

Name: Learning Opportunities
Author: andrew-d

byandrew-d

•

学習とドキュメンテーション

Facilitates deliberate skill development by turning AI-assisted coding tasks into interactive learning exercises.

This skill transforms the AI coding experience from passive output generation into active learning by introducing deliberate practice exercises after key development milestones. By prompting users to predict outcomes, explain architectural choices, and trace execution paths, it prevents the 'AI productivity trap' and helps developers build genuine domain expertise while they ship code. It utilizes evidence-based learning science—such as elaborative interrogation and fading scaffolding—to ensure that high-velocity coding leads to long-term skill retention and a deeper understanding of codebase architecture.

主な機能

01Evidence-based techniques like prediction-observation and retrieval practice

02Hard-stop pause points that require active mental engagement before proceeding

03Guided repository orientation mode for onboarding to new codebases

04Dynamic scaffolding that adjusts guidance based on developer familiarity

05Interactive exercises triggered by architectural changes and refactors

061 GitHub stars

ユースケース

01Mastering unfamiliar design patterns while implementing new features

02Onboarding to a complex project through guided codebase exploration

03Deepening architectural understanding after performing major system refactors

主な機能

01Evidence-based techniques like prediction-observation and retrieval practice

02Hard-stop pause points that require active mental engagement before proceeding

03Guided repository orientation mode for onboarding to new codebases

04Dynamic scaffolding that adjusts guidance based on developer familiarity

05Interactive exercises triggered by architectural changes and refactors

061 GitHub stars

ユースケース

01Mastering unfamiliar design patterns while implementing new features

02Onboarding to a complex project through guided codebase exploration

03Deepening architectural understanding after performing major system refactors