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dev-vpandeydev-vpandey/vpandey-skills/humanizer/SKILL.md

humanizer

Skill4 starsChanged 6 months agoMITView on GitHub

Remove AI-generated writing patterns from text or files to make them sound natural and human-written. Use when user says "humanize this", "humanise this", "make it more readable", "no AI talk", "remove AI patterns", "make this sound human", or pastes text that sounds AI-generated. Loads full 29-pattern reference + examples on every humanize task for best output quality.

188 other projects use a version of this.

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Most recently taken up by

Used with

Projects with it also use economy-mode, personal-voice and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • Microsoft AzureSkill

    economy-mode

    Shifts Layer 3 model selection to cost-optimized alternatives when economy mode is active.

    Also in 4 projects that use this

  • petermuirurithuoSkill

    personal-voice

    Captures the user's personality, communication style, and values. Use this skill whenever responding to the user, drafting anything on their behalf (emails, CVs, messages, opinions, explanations), or whenever tone, word choice, or how an opinion is delivered matters. Apply it by default for any prompt, not only when the user explicitly asks for "my style" or "my voice.

    Also in 3 projects that use this

  • Microsoft AzureSkill

    architectural-proposals

    How to write comprehensive architectural proposals that drive alignment before code is written

    Also in 3 projects that use this

  • +9 more from Azure

The file

We split this skill into the rules it gives an agent

11 rules. 0 are common, 11 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 175 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    First: Read the full reference:

    line 22
  2. Distinctive:

    File path: read the file, humanize, ask overwrite or new file

    line 32
  3. Distinctive:

    Every section heading must appear in the output

    line 39
  4. Distinctive:

    Every table must appear with all its columns and rows intact

    line 40
  5. Distinctive:

    Every field in headers/metadata must be preserved (e.g.

    line 41
  6. Distinctive:

    If you catch yourself merging two sections or dropping a table "for brevity" — stop.

    line 46
  7. Distinctive:

    While rewriting, keep a mental checklist: every section from the original must appear in the draft before moving to Pass 2.

    line 56
  8. Distinctive:

    After draft, ask: *"What makes this so obviously AI generated?"* List remaining tells.

    line 60
  9. Distinctive:

    If yes, restore it before presenting the final.

    line 64
  10. Distinctive:

    After presenting the final version, always output a diff table showing every change made.

    line 84
  11. Distinctive:

    If a value was preserved unchanged, do not list it

    line 99

“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Humanizer

On every humanize task

First: Read the full reference:

Read: `~/.claude/skills/humanizer/humaniser_ref.md`

Then run the two-pass process below.

Input modes

  • Inline text: user pastes text directly
  • File path: read the file, humanize, ask overwrite or new file
  • Voice sample provided: analyze sample first (see Voice Calibration in reference), then rewrite matching their patterns

Content preservation rule (non-negotiable)

Never omit, merge away, or silently drop any section, table, field, or data point from the original.

  • Every section heading must appear in the output
  • Every table must appear with all its columns and rows intact
  • Every field in headers/metadata must be preserved (e.g. Audience, Version, Status)
  • Specific named values — owners, dates, URLs, file paths, code snippets, metric targets — must not be paraphrased away
  • Structured data (tables, lists with items) must stay structured; do not collapse into prose
  • The only exception: decorative placeholders with no content (e.g. an image tag with no caption)

If you catch yourself merging two sections or dropping a table "for brevity" — stop. Humanize the words, not the structure.

Two-pass process

Pass 1 — Rewrite

Fix all patterns from the reference (29 documented + behavioral tells below).

Also inject personality: vary sentence rhythm, use opinions, acknowledge complexity, use "I" when it fits, be specific about feelings.

While rewriting, keep a mental checklist: every section from the original must appear in the draft before moving to Pass 2.

Pass 2 — Self-audit

After draft, ask: "What makes this so obviously AI generated?" List remaining tells. Revise to fix them. Present final version.

Also ask: "Did I drop or merge any section, table, or field from the original?" If yes, restore it before presenting the final.

Output format

**Draft:**
[rewritten text]

**Still AI-sounding because:**
- [tell 1]
- [tell 2]

**Final:**
[revised text]

Skip audit section if no remaining tells.

Diff table (mandatory, always last)

After presenting the final version, always output a diff table showing every change made. Use Unicode box-drawing characters.

╔══════════════════════╦══════════════════════════════════╦══════════════════════════════════╗
║ Location             ║ Original                         ║ Humanized                        ║
╠══════════════════════╬══════════════════════════════════╬══════════════════════════════════╣
║ [section — context]  ║ [exact original phrase/value]    ║ [what it became]                 ║
╚══════════════════════╩══════════════════════════════════╩══════════════════════════════════╝

Rules:

  • One row per distinct change — phrase swap, word removal, structural change, case change
  • "Location" = section name + brief context (e.g. "TL;DR — Why now bullet")
  • "Original" = exact words from source, not a summary
  • "Humanized" = exact words in final output, not a summary
  • If a value was preserved unchanged, do not list it
  • End the table with a one-line summary: total change count and characterization (e.g. "12 changes — all minor phrasing, no content altered")

Behavioral tells (not in the 29)

These are subtler patterns the 29 don't cover — check for all of them too:

  • No contractions — AI writes "it is" / "do not" in casual text. Use "it's" / "don't" where natural.
  • Exhaustive coverage — AI lists every angle even when 2-3 suffice. Cut to what matters.
  • Transition spam — "Furthermore", "Moreover", "In addition" chaining. Cut or vary.
  • Artificial balance — weak "other side" added just to seem fair. Remove if hollow.
  • Perfect grammar paralysis — no self-corrections, no mid-thought pivots. Let some mess in.
  • Sandwich structure — intro restates what body says, conclusion restates body again. Cut the restatements.

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