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Dumbify

Community
artemnovitckii
dumbify

Use when writing or auditing content that has to be easy to follow — explainer reels, teaching carousels, how-to scripts, any piece that teaches or explains something — or when a draft feels dense, jargony, high-effort, or hard to follow. Lowers reading level and mental load so people keep watching and reading. Pairs with the other writing skills in this pack.

Overview

Publisherartemnovitckii
Repositorycontent-skills
Skill namedumbify
Stars
118
Forks
25
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Dumbify 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/artemnovitckii/content-skills/tree/master/dumbify
  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/artemnovitckii/content-skills.git /tmp/content-skills
mkdir -p .claude/skills
cp -r /tmp/content-skills/dumbify .claude/skills/dumbify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dumbify 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 Dumbify 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 Dumbify 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.

Dumbify

People don't churn because content is too simple. They churn because following it is too much work. Every bit of mental effort — a fancy word, a nested sentence, undefined jargon — is a reason to swipe away. This skill cuts that effort.

Target: ~8th-grade reading level for the body, ~6th for hooks. Easy to follow = low strain = high retention.

Simple language, not simple ideas

You are lowering the reading level, not dumbing down the thinking. The idea can be sophisticated; the words shouldn't be. Simple ≠ simplistic. A sharp 13-year-old should be able to follow it — that doesn't mean the insight is for 13-year-olds.

Where it earns its keep

  • High value: explainers, educational/teaching content, how-to, anything on a technical, financial, or abstract topic. This is where dense writing kills retention.
  • Low value: already-conversational captions, short hooks, casual personal stories — these come out simple naturally. Don't force this skill where there's nothing to simplify.

The moves

  1. Cut jargon — or swap it for the word you'd use telling a friend who isn't in the field. (Jargon the audience shares is fine — it's only friction when they don't have it. If you have an audience profile, respect the jargon they already know; a technical audience keeps its technical words.)
  2. One idea per sentence — break nested clauses into separate sentences.
  3. Common words over fancy ones — use not utilize, help not facilitate, show not demonstrate, enough not sufficient, about not approximately.
  4. Concrete over abstract — "the export button" not "the relevant control"; "you'll save 2 hours" not "efficiency gains."
  5. Active voice — "the model picks the next word," not "the next word is selected by the model."
  6. Cut filler that adds no meaning — "basically," "in order to," "the fact that."
  7. Teach by example — one concrete example lowers load more than a precise definition. Show it happening.

Don't let it fight the other skills

  • Rhythm (storytelling): simplify the words and structure, not the length variety. A long sentence is fine if it's made of simple words and reads in one breath. Never flatten everything into short choppy sentences to "hit a grade level" — that kills the music storytelling builds. Vary length; keep words plain.
  • Specificity (anti-ai-writing): these agree. Concrete specifics — a number, a name, an example — make a piece easier to follow, not harder. "$1,000 becomes $10,000 in 30 years" is both more specific and more readable than "your money grows substantially."
  • Voice: don't sand off your personality to simplify. Keep your words and your slang; cut the complexity around them.

How to gauge the level (no tool needed)

  • Read it aloud. Stumble, run out of breath, or have to re-read a sentence? Too dense — break it up.
  • The 13-year-old test. Would a sharp 13-year-old follow it on the first pass?
  • Spot the load: flag words over 3 syllables that have a plain substitute, sentences over ~25 words, more than one clause nested in a sentence, and any jargon the audience may not share.

Writing mode

Draft normally first. Then do a load pass: find the two or three densest sentences and lighten them — plainer words, split the nests, add an example where a definition is doing the work.

Audit mode

Flag each high-load spot with the exact line, then give the simpler rewrite. Keep the meaning and the voice intact.

SIMPLIFY AUDIT (target ~8th grade):
  Jargon:        FLAG — "returns compound on the principal" → "you earn money on the money you already earned"
  Nested clause: FLAG — "Because the gains, which accrue annually, are reinvested, the balance grows faster"
                 → "Each year's gains get added back in. So the next year, they earn too."
  Abstraction:   FLAG — "significant long-term growth" → "$1,000 becomes over $10,000 in 30 years"
  Reading level: ~11th grade → rewrite lands ~7th
  Rewrite: [plainer version, rhythm and voice preserved]

Anti-overfitting

Don't baby-talk. Don't strip nuance the idea needs. Don't make every sentence short — that's flattening, not simplifying. Don't remove a technical term the audience knows and expects. The test: could a smart person in the target audience follow this without effort, while still feeling it respects their intelligence? If it reads as dumbed-down, you went too far.

Frequently asked questions

What does the Dumbify AI skill do?

Use when writing or auditing content that has to be easy to follow — explainer reels, teaching carousels, how-to scripts, any piece that teaches or explains something — or when a draft feels dense, jargony, high-effort, or hard to follow. Lowers reading level and mental load so people keep watching and reading. Pairs with the other writing skills in this pack.

Why use Dumbify on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/artemnovitckii/content-skills/tree/master/dumbify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dumbify?

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 Dumbify?

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

Is the Dumbify AI skill free?

Yes. It is published on GitHub by artemnovitckii 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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