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rsn-learning-outcomes

maintained by NeverSight

star 66 account_tree 19 verified_user MIT License
bolt View GitHub

Extracts insights and improves performance from experience. Applies single-loop (fix action), double-loop (fix frame), reflection (extract insight), experimentation (test belief), and calibration (adjust confidence) modes. Use when correcting mistakes, learning from outcomes, testing hypotheses, or improving predictions. Triggers on "why did this fail", "what can we learn", "test this", "how accurate are we", "pattern of failures".

Key Features

  • Comprehensive skill evaluation and performance tracking
  • Community-driven ratings and reviews
  • Easy integration with Claude Code
  • Regular updates and maintenance

Quick Start

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Skill Details

GitHub Stars 66
GitHub Forks 19
Created Mar 2026
Last Updated il y a 3 mois
tools tools debugging

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