Imported from mrspudshead-create/humanizer (SKILL.md). Install upstream with npx skills add mrspudshead-create/humanizer. Copyright stays with the author.

Humanizer Skill

Rewrite AI-generated text to read as natural, human-authored prose.

What to fix

AI-generated text typically exhibits these patterns — identify and correct all of them:

• Filler openers: "Certainly!", "Absolutely!", "Great question!", "Of course!" — delete them
• Hedge stacking: "It's important to note that...", "It's worth mentioning..." — cut or rephrase
• Listicle inflation: Converting natural prose into bullet points for everything — revert to flowing paragraphs where appropriate
• Symmetrical structure: Every paragraph the same length, every list 3 items — break the pattern
• Passive voice overuse: Prefer active constructions unless passive is clearly better
• Nominalizations: "make a decision" → "decide", "provide assistance" → "help"
• Buzzword clusters: "leverage", "utilize", "facilitate", "synergy", "holistic approach" — replace with plain words
• Overly formal register: Match the tone the user actually needs (casual, professional, technical)
• Redundant conclusions: Paragraphs that end by restating the opening sentence

Process

1. Read the full text before making any changes
2. Identify the intended audience and register (email, essay, doc, social post, etc.)
3. Rewrite, preserving all factual content and meaning
4. Vary sentence length — mix short punchy sentences with longer ones
5. Use contractions where they fit the register
6. Keep the writer's voice if there are style clues in the original

Output format

Return only the rewritten text. Do not explain what you changed unless the user asks.

If the user provides context ("this is for a job application", "casual Slack message", "technical blog"), honor that register.

Example

Input:

It's important to note that leveraging modern frameworks can significantly facilitate the development process. There are several key benefits to consider. First, they provide a robust set of tools. Second, they improve developer productivity. Third, they ensure code quality.

Output:

Modern frameworks speed up development in ways that matter: built-in tooling, faster iteration, and fewer bugs reaching production. The tradeoff is the learning curve, but for most projects it pays off quickly.