·self-improving-agent-builder
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self-improving-agent-builder

Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle".

34Installs·2Trend·@rysweet

Installation

$npx skills add https://github.com/rysweet/amplihack --skill self-improving-agent-builder

How to Install self-improving-agent-builder

Quickly install self-improving-agent-builder 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/rysweet/amplihack --skill self-improving-agent-builder
  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: rysweet/amplihack.

SKILL.md

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Run a closed-loop improvement cycle on any goal-seeking agent implementation:

Each iteration measures L1-L12 progressive test scores, identifies failures with erroranalyzer.py, runs a research step with hypothesis/evidence/ counter-arguments, applies targeted fixes, and gates promotion through regression checks.

Run the L1-L12 progressive test suite on the current agent implementation.

Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle". Source: rysweet/amplihack.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/rysweet/amplihack --skill self-improving-agent-builder
Category
</>Dev Tools
Verified
First Seen
2026-03-03
Updated
2026-03-10

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Quick answers

What is self-improving-agent-builder?

Encodes a continuous improvement loop for goal-seeking agents: EVAL, ANALYZE, RESEARCH (hypothesis + evidence + counter-arguments), IMPROVE, RE-EVAL, DECIDE. Auto-commits improvements (+2% net, no regression >5%) and reverts failures. Works with all 4 SDK implementations. Auto-activates on "improve agent", "self-improving loop", "agent eval loop", "benchmark agents", "run improvement cycle". Source: rysweet/amplihack.

How do I install self-improving-agent-builder?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rysweet/amplihack --skill self-improving-agent-builder 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/rysweet/amplihack