Humanize Copy logo

Humanize Copy

Organization
KyaniteLabs
humanize-copy

Humanize prose by removing LLM tells. Use for landing copy, docs, READMEs, emails, UI microcopy, release notes, social posts, or requests like humanize, less robotic, remove AI tells, punch up, or make this sound human.

Overview

PublisherKyaniteLabs
Repositorytastecheck
Skill namehumanize-copy
Stars
10
Forks
7
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by KyaniteLabs on GitHub. Read the source before you install it.

Installation

Install the Humanize Copy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/KyaniteLabs/tastecheck/tree/main/skills/humanize-copy
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/KyaniteLabs/tastecheck.git /tmp/tastecheck
mkdir -p .claude/skills
cp -r /tmp/tastecheck/skills/humanize-copy .claude/skills/humanize-copy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Humanize Copy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Humanize Copy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Humanize Copy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Humanize Copy

Human copy sounds meant for this reader, now. Keep facts; replace formula with consequence, stance, and cadence the speaker can sustain aloud.

Establish the speaking situation before editing

Do not synonym-swap detached text. Build a voice brief from source, reader job, protected language, defensible claim, and register. For a real author, use supplied/approved samples; never infer private identity from stereotypes.

Voice brief fieldEvidence to use
Speaker and audienceNamed role, relationship, and reader context from the request/source
Reader jobDecision, action, reassurance, or understanding the text must support
Defensible claimSource fact, direct quote, measurement, or explicitly marked opinion
Protected languageLegal, safety, product, customer, or brand wording that cannot be casually altered
Register boundaryDegree of formality, humor, intimacy, and certainty the situation can bear

Without facts/voice authority, change only clarity, order, and cadence; never invent claims, metrics, anecdotes, testimony, or personal voice.

Edit in three passes

  1. Source: mark protected meaning and authority behind every claim.
  2. Stance: decide what the speaker can say plainly; lead with reader consequence, decision, or next action.
  3. Shape: cut wrapper, restore causal order, tune sentence length/register.

Compare revision to source; apply references/writing-constitution.md, then use kill-list and rhythm references as detectors after meaning is settled.

Detect formula before replacing words

The kill list is a detector, not a ban. Inspect buzzwords, ceremonial hooks, manufactured contrast, repeated rule-of-three/em-dash cadence, hedges, and generic metaphor. Preserve technical, legal, and brand terms. When it fires, name the subject, state the consequence, or remove the sentence; a fancier synonym is not repair.

Worked transformation

Source facts: appointments are booked online; technicians give a two-hour arrival window; customers receive a text before arrival.

Before: “Experience seamless repair solutions designed to get your day back on track.”

After: “Book online. We’ll give you a two-hour window and text before the technician arrives.”

The revision earns confidence from source: it replaces unsupported emotional promise with decision, timing, and useful reassurance. Target specificity and rhythm that fit authority, not universally casual copy.

Decision order and evidence

Build the brief/fact ledger; revise stance, order, precision, and cadence without changing facts or safety meaning. Record source authority for new specificity.

Self-check

  1. Read-aloud test, direct opening, and no formulaic cadence, hedge, or thesaurus-salad?
  2. Source-backed specifics and bounded claims—not competitor-generic copy or invented texture?
  3. Register fits this reader, task, and consequence?
  4. Writing rules applied and their IDs recorded in the evidence?

Reference files

  • references/kill-list.md — detector list and examples.
  • references/rhythm-and-voice.md — structure, stance, cadence.
  • references/decision-records.md — novel-case ADR rules.
  • references/writing-constitution.md — portable IA floor.

How to deliver

Deliver revised copy first when requested. Follow with voice brief and 2–5 high-leverage mechanism changes when useful. Preserve facts/register; pair non-English work with i18n-ready.

Information-architecture gate

Apply the bundled Writing Constitution floor (references/writing-constitution.md): old-before-new, stress position, anchor/linking/umbrella/preview, and exact key-term repetition. Run the three-pass audit and record rule IDs. This reference is portable; do not use a workstation-local copy. Echo argument terms; remove formulaic repetition.

Contract (generated)

Canonical detail: contract.json.

  • Route: UI or product copy is factually correct but generic, hedged, clichéd, or unlike the intended author voice.; avoid: The request requires changing product facts, legal meaning, or interaction behavior.
  • Exclude: Do not invent claims, testimonials, or product facts. (+2 in contract.json)
  • Stop / handoff: Stop when source facts or approval constraints are missing. (+1 in contract.json); receives [cognitive-a11y, design-system-interview, deslop-ui, empty-states, improve-existing-website, tasteroll] -> sends [form-ux, i18n-ready, tastecheck-pass]
  • Output: fact-preserving copy revision with voice rationale
  • Evidence: table_with_evidence with status, reason, remediation, evidence, provenance.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Humanize Copy AI skill do?

Humanize prose by removing LLM tells. Use for landing copy, docs, READMEs, emails, UI microcopy, release notes, social posts, or requests like humanize, less robotic, remove AI tells, punch up, or make this sound human.

Why use Humanize Copy on TypingMind?

Because you install it once and use it with any model. Humanize Copy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Humanize Copy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/KyaniteLabs/tastecheck/tree/main/skills/humanize-copy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Humanize Copy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Humanize Copy?

As many as you like. As long as a model supports skills, you can use Humanize Copy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Humanize Copy AI skill free?

Yes. It is published on GitHub by KyaniteLabs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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