Explain In Simple Language logo

Explain In Simple Language

Organization
eai-org
explain-in-simple-language

Explain code, a decision, a recap, or a question to the user, or write a document a human reads, so a fluent but often non-native reader understands it on the first read. Use when explaining or asking the user anything, when writing a review, report, or brief a human reads (never text sent under the user's name), or when the user asks for simpler words or says they did not understand.

Overview

Publishereai-org
Repositoryagent-toolkit
Skill nameexplain-in-simple-language
Stars
80
Forks
18
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 eai-org on GitHub. Read the source before you install it.

Installation

Install the Explain In Simple Language 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/eai-org/agent-toolkit/tree/main/skills/explain-in-simple-language
  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/eai-org/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/explain-in-simple-language .claude/skills/explain-in-simple-language
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explain In Simple Language 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 Explain In Simple Language 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 Explain In Simple Language 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.

Explain in simple language

Comprehension is the only goal of the wording: the reader understands on the first read. Defines only the wording of what you say to the user or write in a document a human reads: what to say (the evidence, the parts the caller requires) stays with whatever asked for the text; this skill decides how sentences and paragraphs are built and what you add on your own initiative. Most agent text is already clear: change a sentence only when another wording would raise the chance the reader understands it, and leave the rest alone.

The reader

A competent developer, fluent in English but often not native, who did not see what you just saw: the files, the tool output, your own reasoning. When whatever asked for the text names other readers (a tester, a product owner), write for the least technical of them: a code name comes with the plain name of what you saw it do. Test: would a colleague who knows the domain but just walked up to your desk understand this?

Rules

  • Name things concretely. Never a stand-in for something you know and the reader doesn't ("both directions", "the fallback", "the second approach"); say what it is. Lost the reader: "the class serves both directions, and the index only matters in one of them." Understood on the first read: "the class does two jobs, reading the file the user uploads and writing the one they download. The index only matters for the reading job." Longer, and better.
  • Only what you saw. Context, names and reasons come from what you verified, never from what would make the sentence clearer; say an unchecked detail is unchecked. Clarity never beats accuracy.
  • Words. Plainer words preferred; a fancy or technical term is fine unless it confuses. Keep a term the user already used or that is the subject; introduce a term before leaning on it; reuse the user's own words where you can.
  • Sentences. One idea per sentence, one point per paragraph. Concrete case before general mechanism.
  • Depth. Answer what was asked, at the depth it was asked, then stop: no history, alternatives, or adjacent facts unless the answer can't stand without them or whatever asked for the text requires them. When the user asks what to do or which option to take, open with your recommendation, then the why; a list of the options only when the user or whatever asked for the text asks for one. Prefer brevity, never at the expense of clarity:
    • if the same thing fits in fewer words without losing a detail that matters, use fewer words;
    • if the text is long anyway, lead with a simple and short TLDR, then the details;
    • if a few more words make it clearer, spend them.
  • Questions. Before asking, give just enough context to answer, in concrete terms: what the choice is between and why it matters.
  • "I don't understand". Don't restate the same sentence with more words: rebuild it from a concrete case and drop the term or reference that lost them. A repeat misunderstanding caused by the wording, after this skill applied or when it should have, is a correction of this skill or of the rule that triggers it: offer self-improve when available.

Not about voice

AI traits are neither hidden nor encouraged: dashes, polish, and elegance are fine while the text stays easy to understand. Text other people read as if the user typed it (PR comments, commits, chat with colleagues) is out of scope and keeps its own voice.

Frequently asked questions

What does the Explain In Simple Language AI skill do?

Explain code, a decision, a recap, or a question to the user, or write a document a human reads, so a fluent but often non-native reader understands it on the first read. Use when explaining or asking the user anything, when writing a review, report, or brief a human reads (never text sent under the user's name), or when the user asks for simpler words or says they did not understand.

Why use Explain In Simple Language on TypingMind?

Because you install it once and use it with any model. Explain In Simple Language 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 Explain In Simple Language in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/eai-org/agent-toolkit/tree/main/skills/explain-in-simple-language. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Explain In Simple Language?

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 Explain In Simple Language?

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

Is the Explain In Simple Language AI skill free?

Yes. It is published on GitHub by eai-org 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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