Learning-Opportunities: An AI Coding Skill for Deliberate Skill Development During Agentic Programming
By
cdrnsf
Toasted golden, schmeared with insight. Top of the rack.
Summary
A GitHub repository (learning-opportunities) by DrCatHicks introduces a skill for Claude or Codex AI coding assistants that integrates deliberate skill development exercises into the coding workflow. When developers complete architectural work like new files or refactors, the AI offers optional 10-15 minute learning exercises based on evidence-based learning science techniques such as prediction, generation, retrieval practice, and spaced repetition. The approach uses an adaptive "dynamic textbook" method to help developers build expertise through semi-worked examples drawn from their own project work, rather than just focusing on shipping code.
Key quotes
· 4 pulledBuild your expertise, not just your projects.
This skill uses an adaptive 'dynamic textbook' approach to help you integrate science-based expertise building exercises while doing agentic coding.
When you complete architectural work (new files, schema changes, refactors), Claude offers optional 10-15 minute learning exercises grounded in evidence-based learning science.
The exercises use techniques like prediction, generation, retrieval practice, and spaced repetition to provide you with semi-worked examples from across your own project work.
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