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Tinley Park · October 13, 2026
Nate Herk | AI AutomationOct 13, 2026

I Tested the Viral Reverse Engineer Anything Skill. What You Need to Know.

What it covers

The creator tests the viral Reverse Engineer Anything (REA) skill with Claude Code to rebuild features from existing apps, including a Loom-inspired screen recorder, and breaks down how it works, a five-step workflow, and its limitations. The video also shows how giving an AI agent clear reference examples of desired output can produce better results and improve your own AI skills and workflows.

The outline

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  1. Reverse Engineer Anything

    The creator introduces the viral Reverse Engineer Anything skill and sets up the test using Claude Code.

  2. Better AI Outputs With References

    He explains how providing your AI agent with clear reference examples of the output you want leads to better AI results.

  3. Rebuilding App Features

    He demonstrates REA by rebuilding features from existing apps, including his own Loom-inspired screen recorder.

  4. How REA Works

    He breaks down the underlying mechanics of how the Reverse Engineer Anything skill operates.

  5. A Five-Step REA Workflow

    He walks through a five-step process for applying REA to your own projects and workflows.

  6. Limits and Caveats

    He discusses the limitations and caveats he encountered while testing REA with Claude Code.

  7. Results and Final Takeaways

    He shares the final results of the test and offers key takeaways on using REA to build better AI skills and workflows.

Reference quality is the skill

The five-step workflow handles mechanical recreation, but the transcript makes clear that reference examples of desired output determine whether the result is usable. For a solo builder shipping AI products, that shifts daily practice from writing code to articulating what 'good' looks like with concrete artifacts. The 'software is done' framing is half-joke, but the underlying point holds: the constraint moves from implementation to specification.