A Claude Code and Codex Skill for Deliberate Skill Development
github.com
May 14, 2026
10 min read
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47/100
Summary
DrCatHicks' learning-opportunities skill for Claude or Codex facilitates deliberate skill development during AI-assisted coding. It provides optional 10-15 minute learning exercises based on evidence-based learning science, utilizing techniques such as prediction, generation, retrieval practice, and spaced repetition.
Key Takeaways
- The "learning-opportunities" skill provides evidence-based learning exercises during coding tasks, integrating techniques like prediction and spaced repetition.
- The repository includes a Codex plugin marketplace that allows users to install various learning and orientation tools for coding projects.
- AI coding tools may lead to inefficient learning habits, such as the fluency illusion and decreased engagement in active learning, which the "learning-opportunities" skill aims to mitigate.
- Users can create an orientation file to suggest lessons for new repositories, applying strategies from research on program comprehension and codebase navigation.
Community Sentiment
Positives
- The integration of learning exercises into coding workflows enhances skill development, making the learning process more engaging and effective.
- Using Claude to create personalized learning tools can significantly reduce token costs, demonstrating the potential for cost-effective AI applications in education.
- The concept of Skills as incremental software encourages users to develop tailored solutions, promoting a deeper understanding of AI capabilities.
Concerns
- The lack of benchmarks and evaluations raises concerns about the effectiveness of the new skill compared to existing solutions, undermining confidence in its performance.
- The reliance on decorative code and prompts may complicate the user experience, suggesting that the implementation could be streamlined for better usability.
