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SKILL verified MIT Self-run

Write Like A Human

skill-spencerpauly-skills-repo-write-like-a-human · by spencerpauly

Strip the AI-isms out of any text — em-dash overuse, "It's not just X, it's Y", inflated significance, sycophantic openers, rule-of-three padding. Use when the user says "humanize this", "make this less AI", "tighten this", or pastes obviously-AI prose and asks for a rewrite.

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Install

$ agentstack add skill-spencerpauly-skills-repo-write-like-a-human

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Write Like a Human

Rewrite text so it stops sounding like a language model wrote it. Wraps the open-source humanizer skill, which catalogs ~30 specific tells (em-dash overuse, "stands as a testament", -ing analyses, rule-of-three padding, inline-bold lists, and so on).

When to use

  • The user pastes a chunk of writing and asks to "humanize", "de-AI", "tighten", or "make this sound like me".
  • The user asks for editing on something they wrote with an LLM.
  • A blog post / launch email / README draft has tells the user wants gone.

Steps

  1. Pull down the reference list of patterns the first time this skill activates in a session:

``bash curl -fsSL https://raw.githubusercontent.com/blader/humanizer/main/SKILL.md `` Read it. There are ~30 patterns; you don't need to memorize them, just keep them visible while editing.

  1. Ask for a voice sample if you don't already have one. One paragraph the user wrote themselves is enough. Match cadence, vocabulary, and how they handle transitions.
  1. Do a first pass removing the highest-signal tells in this order:
  2. Sycophantic openers ("Great question!", "Absolutely!").
  3. Em-dashes that should be commas, periods, or parens.
  4. "It's not just X, it's Y" / "Not only … but …" parallelisms.
  5. Inflated significance words: testament, pivotal, landscape, vibrant, tapestry, underscore.
  6. Rule-of-three lists that pad ideas into groups of three.
  7. Inline-bold vertical lists (- **Speed:** …).
  1. Do a second "audit" pass. Re-read your draft and ask out loud: "What still makes this sound AI-generated?" Answer briefly, then revise once more. This step is the difference between "cleaned up" and "actually sounds human".
  1. Return three things:
  • A draft rewrite.
  • A short list of remaining tells you noticed during the audit.
  • A final rewrite with those fixed.

Don't

  • Don't replace AI mush with new AI mush. If the original said "stands as a testament to" and you change it to "represents a key milestone in", you haven't fixed anything.
  • Don't sand off the user's voice. Quirks, opinions, and the occasional sentence fragment are the point.
  • Don't add em-dashes back in. If you must use a punctuation break, prefer a period.

Reference

Patterns and examples:

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.