AI Trace Humanizer

What It Solves

In technical writing, the problem is often not grammar but an overly templated AI cadence: openings like first... second... last, closings like in summary or the road ahead is long, and vague fillers such as to some extent, empower, or closed loop. This skill addresses that: it does not rewrite a paragraph into marketing copy; it identifies AI traces and proposes targeted edits with reasons.

How It Works

It treats common AI tells as checkable patterns, such as:
- Three-part summary cadence: first... second... last, in summary
- Over-qualified phrasing: to some extent, relatively
- Business filler terms: empower, leverage, closed loop
- Generic endings: the future is promising, let’s wait and see
The workflow is explicit: given text to revise, it marks hits, suggests replacements, and explains each change. The default output includes the revised text, a change table, and a self-check; users can also limit the scan to specific patterns.
It preserves substance: technical terms such as ROI, YoY, and penetration rate stay intact; core data and claims are not rewritten away. If the input is short and shows no obvious AI traces, it should say no edit is needed instead of forcing changes.

Boundaries

This skill fits technical blogs, product docs, proposal notes, emails, and general business writing. It should not be used to alter academic papers, assignments, or exam answers to evade detection. If academic content is detected, it should refuse and explain why.
It also does not publish results automatically. For formal official documents, keep serious wording intact; remove only obvious AI traces, not phrases like it has been decided that carry formal weight.