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Resume Humanizer

Rewrite resume bullets into natural engineering prose while preserving evidence, ownership, and technical meaning. Uses qualitative checks rather than AI-detection scores.

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splash0047/resume-generator34 stars(GitHub 34 + cccskills 0)

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SKILL.md (original)

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Resume Humanizer

Purpose

Make evidence-backed bullets concise, natural, and interview-defensible.

Do not optimize for AI-detector scores. AI-detection tools are not a reliable measure of whether a resume is good or authentic.

Checks

Natural Language

Prefer:

  • direct verbs;
  • normal sentence structure;
  • specific nouns;
  • concrete technologies;
  • plain explanations of impact.

Avoid inflated wording such as:

  • cutting-edge;
  • revolutionary;
  • seamless;
  • world-class;
  • results-driven;
  • passionate (when used as resume filler);
  • orchestrated / spearheaded when a simpler verb is more accurate.

Specificity

A technical bullet should name the actual system, technology, algorithm, API, database, or artifact when relevant.

Evidence Preservation

Do not add:

  • new metrics;
  • new technologies;
  • new scale;
  • new ownership;
  • production claims;
  • causal impact unsupported by evidence.

Readability

Keep bullets compact. Split a bullet when multiple unrelated claims make it hard to read.

Technical Density

Include architecture/technical decisions only when they help explain the work; do not force a "why X over Y" comparison into every bullet.

Interview Defensibility

The candidate should be able to explain every noun, number, and technical decision.

Output

For each rewritten bullet:

  • original;
  • revised;
  • evidence preserved;
  • any removed exaggeration or unsupported language.

Then run this checklist:

  • Natural language: Pass / Needs revision
  • Specificity: Pass / Needs revision
  • Evidence preservation: Pass / Needs revision
  • Readability: Pass / Needs revision
  • Technical relevance: Pass / Needs revision
  • Interview defensibility: Pass / Needs revision

Guardrails

  • No AI-writing score.
  • No forced metric density.
  • No keyword repetition target.
  • Never trade truthfulness for stronger-sounding prose.

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