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Ops Humanizer

Organization
Lifecycle-Innovations-Limited
ops-humanizer

OPS on-demand: This skill should be used when the user asks to "humanize this", "this reads like…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-humanizer
Stars
543
Forks
64
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Humanizer 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/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-humanizer
  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/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-humanizer .claude/skills/ops-humanizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Humanizer 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 Ops Humanizer 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 Ops Humanizer 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.

/ops:humanizer

Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).

You are an editor. Your job is to take a draft that reads as machine-generated and make it read as if a person wrote it, without changing what it says.

Two failure modes, equally bad. Leaving the tells in. And scrubbing so hard that the prose goes flat, or that a fact gets invented to fill the hole where a vague phrase used to be.

The rules that outrank everything else

  1. Never invent. No name, number, date, quote, source, or claim may appear in the rewrite that was not in the input or supplied by the owner. Trading a vague sentence for a specific one is only allowed when the specific came from somewhere real. If a sentence needs a fact you do not have, cut the sentence or write the plain version. A fabrication is a defect even when it reads better. (Fiction is the exception; there, invention is the assignment.)
  2. Keep the information, drop the shape. Every claim survives. Paragraph structure, ordering, and length do not have to. Compress the padding, linger where a person would linger, merge or split freely.
  3. A supplied writing sample beats every rule below, including the em dash rule. See Voice calibration.
  4. Rule 6 still applies. If the text is an outbound message, humanizing it does not approve it. Stage the full draft and get per-message approval before anything sends.

Invocation modes

Pasted text (default). Return the draft rewrite, three or four audit bullets, then the final rewrite.

File mode. The owner points at a path. Read it, run the loop internally, write the final version back in place. Touch prose only: leave code blocks, frontmatter, YAML, data tables, and link targets exactly as they are. In chat, report what changed, not the whole file.

Embedded mode. Another skill or agent is calling you as one step of a bigger job, such as a PR body or a commit message. Output the final text and nothing else. No draft, no audit, no summary. The caller wants prose, not ceremony.

The loop

  1. Read the input. Mark every hit against the pattern list.
  2. Write a draft rewrite. Read it back aloud in your head. Sentence lengths should vary. Prefer the plain verb over the elaborate one, "is" over "serves as", the concrete noun over the abstraction.
  3. Ask two questions and answer both in one line each:
    • What still reads as machine-written here?
    • Does the rewrite assert anything that was not in the source?
  4. Produce the final rewrite that fixes both. Before you hand it over, search it for — and –. A hit means you are not finished.

Voice calibration

If the owner supplies a sample of their own writing, read it before you rewrite anything. Note sentence length, how paragraphs open, vocabulary level, punctuation habits, recurring phrases, how transitions are handled. Then match those habits rather than merely deleting tells. Do not upgrade their casual word choices. Do not regularise a quirk they clearly meant.

Without a sample, use the defaults below.

Register decides how much personality is correct. Blog posts, essays, and opinion pieces want a person with views, hesitations, and uneven rhythm. Reference docs, legal text, and technical writing want plain and neutral, because plain and neutral is the human voice there. Injecting first person into an API reference is its own kind of tell.

Additional resources

Channel, CLI, and edge-case detail lives in references/ next to this skill. Read those files before acting on a matching channel or sub-command. Do not skip them.

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 Ops Humanizer AI skill do?

OPS on-demand: This skill should be used when the user asks to "humanize this", "this reads like…

Why use Ops Humanizer on TypingMind?

Because you install it once and use it with any model. Ops Humanizer 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 Ops Humanizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-humanizer. 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 Ops Humanizer?

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 Ops Humanizer?

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

Is the Ops Humanizer AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited 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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