·rsn-learning-outcomes
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rsn-learning-outcomes

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".

10Installs·0Trend·@bellabe

Installation

$npx skills add https://github.com/bellabe/lean-os --skill rsn-learning-outcomes

How to Install rsn-learning-outcomes

Quickly install rsn-learning-outcomes AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/bellabe/lean-os --skill rsn-learning-outcomes
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: bellabe/lean-os.

SKILL.md

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Systematic improvement from experience. Convert outcomes into better future performance.

Learning is not automatic. Experience without reflection is just repetition. Learning requires deliberate extraction of insight and updating of beliefs and behaviors.

| Single-loop | Did action work? | Corrected action | Gap between expected/actual | | Double-loop | Is frame right? | Updated frame | Pattern of single-loop failures | | Reflection | What can we learn? | Transferable insights | Experience completed | | Experimentation | Should we test this? | Validated/invalidated belief | Belief needs validation |

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". Source: bellabe/lean-os.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/bellabe/lean-os --skill rsn-learning-outcomes
Category
</>Dev Tools
Verified
First Seen
2026-02-22
Updated
2026-03-10

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Quick answers

What is rsn-learning-outcomes?

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". Source: bellabe/lean-os.

How do I install rsn-learning-outcomes?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/bellabe/lean-os --skill rsn-learning-outcomes Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/bellabe/lean-os