How does the rollback mechanism function?

Every successful commit automatically archives the previous version of the file, allowing for immediate restoration if issues are discovered later.

Can I prevent the skill from making automatic commits?

Yes, the skill includes human gate triggers that pause the pipeline for manual review whenever high-risk changes are detected.

What happens if a benchmark test fails?

The pipeline will issue a REJECT verdict, halting the improvement cycle and preventing the change from being committed to ensure system stability.

What is the primary benefit of the Compare stage?

It mathematically compares baseline scores against candidate performance, ensuring that only changes with a positive average improvement delta are accepted.

How does the Propose stage work in this skill?

It analyzes audit reports and current content to generate specific diffs, assessing risks and predicting improvement deltas before any code is changed.

Recursive Improvement Pipeline

Name: Recursive Improvement Pipeline
Author: DNYoussef

byDNYoussef

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생산성 및 워크플로

Automates the lifecycle of code and prompt enhancements through an executable Propose-Test-Compare-Commit workflow.

소개

The Recursive Improvement skill provides a rigorous framework for the continuous evolution of Claude Code skills and prompts. By implementing a formal pipeline that includes automated proposal generation, risk assessments, and regression testing, it ensures that every update is evidence-based and performance-positive. This skill is essential for maintaining complex AI-driven systems, allowing users to iterate on logic with confidence through automated validation, performance benchmarking, and built-in rollback mechanisms.

주요 기능

Automated proposal generation with diff-based changes and risk assessment
Logic-driven comparison engine with automated Accept/Reject verdicts
Automated versioning and archiving for seamless rollbacks
6 GitHub stars
Integrated benchmark and regression testing for performance validation
Configurable human gates for high-risk modification oversight

사용 사례

Automating regression testing for prompt engineering iterations
Refining complex AI skills to improve specific performance metrics
Implementing a self-optimizing development workflow for AI agents

소개

주요 기능

Automated proposal generation with diff-based changes and risk assessment
Logic-driven comparison engine with automated Accept/Reject verdicts
Automated versioning and archiving for seamless rollbacks
6 GitHub stars
Integrated benchmark and regression testing for performance validation
Configurable human gates for high-risk modification oversight

사용 사례

Automating regression testing for prompt engineering iterations
Refining complex AI skills to improve specific performance metrics
Implementing a self-optimizing development workflow for AI agents