Explain This logo

Explain This

Community
DannyMac180
explain-this

Explain any digital artifact — a paper, PDF, article, code diff, or codebase — so the person actually understands it, not just skims it. Explanations are shaped by a persistent learner profile, gated by comprehension quizzes, and feed a spaced-repetition review loop. USE WHEN: explain this, explain this paper / PDF / article / diff / repo, help me understand this, what does this mean, what is this really saying, break this down, walk me through this, quiz me, review my cards, explain-this review, explain-this interview. NOT FOR: plain summarization when the user only wants a TL;DR, writing new content, or reviewing code for defects.

Overview

PublisherDannyMac180
Repositoryskills
Skill nameexplain-this
Stars
538
Forks
49
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

    Published by DannyMac180 on GitHub. Read the source before you install it.

Installation

Install the Explain This 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/DannyMac180/skills/tree/main/explain-this
  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/DannyMac180/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/explain-this .claude/skills/explain-this
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explain This 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 This 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 This 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 This

Understanding is the bottleneck, not information. This skill turns any digital artifact into an explanation the user can genuinely absorb — shaped to how they learn, checked by quizzes that prevent false confidence, and retained through spaced-repetition review. The goal is formation, not summarization: who the user becomes by understanding, not just what they can skim.

State contract

All user state lives in EXPLAIN_THIS_HOME (default ~/.explain-this/) — never in this skill's install directory, so it survives skill updates and is shared across agent hosts:

~/.explain-this/
  LEARNER.md            # who this person is as a learner — read before EVERY explanation
  memory/cards.jsonl    # spaced-repetition cards + SM-2 scheduling state
  memory/signals.jsonl  # append-only quiz-attempt evidence

First run

If ~/.explain-this/LEARNER.md does not exist, do NOT explain anything yet. Run the interview in references/interview.md (~10 minutes), draft LEARNER.md from references/learner-template.md, show it to the user, and apply their corrections. The profile is the product's first artifact.

Every explanation follows the spine

Read LEARNER.md first, then build the explanation in this order:

  1. Why does this exist? — the problem the artifact answers. Context before content.
  2. The one idea — the single sentence worth retaining above all others.
  3. How it works — intuition before mechanism, prose-ordered (literate sequencing), analogies drawn from the learner's deep domains, skipping what their profile says they already know.
  4. What can you now do — point at the learner's formation goals: what can they build, argue, or decide that they couldn't before.
  5. Check yourself — the quiz. Generate per references/quiz.md; add each question to the card deck per references/review.md.

Depth dial

Default comes from LEARNER.md frontmatter; per-request override phrases win:

DepthMeaningTrigger phrases
orient5-minute orientation"just orient me", "quick pass"
workingcan explain it to a colleague (default)—
rederivablecould re-derive / re-build it"really grok", "go deep"

Artifact adapters

Pick the adapter for the artifact type; it defines ingestion and what "meaning" means for that type:

  • Papers / PDFs → references/adapters/paper.md
  • Articles / markdown / essays → references/adapters/article.md
  • Code, diffs, repos → references/adapters/code.md

Output destinations

Markdown is canonical. The user directs the destination ("put it in Obsidian", "give me an HTML file", "just tell me here"); the default lives in LEARNER.md frontmatter. In document output, embed quiz questions at section ends with answers in <details> blocks. An HTML render is an optional layer for interactive quiz widgets — never required.

Review mode

"quiz me" / "review my cards" / "explain-this review" → run the conversational review loop in references/review.md (due cards via scripts/sm2.ts due). When invoked for a NEW explanation while cards are due, mention it once ("6 cards due — review first, or after?") but never block.

Gotchas

  • Never skip the profile read. An explanation not shaped by LEARNER.md is a generic summary — the exact thing this skill exists to avoid.
  • A summary is not an explanation. If the output could have been produced without the artifact's actual content or without the profile, start over.
  • Never write LEARNER.md's Known Weak Patterns from a single session. Only the evidence loop (references/review.md, thresholds) may add entries, and every entry must cite its evidence. One bad quiz is noise, not identity.
  • Quiz questions come from the artifact, not the explanation — otherwise they're echo questions that test short-term verbal memory. See references/quiz.md two-pass procedure.
  • Grade the user's free-text answers yourself (hit/partial/miss). Never ask them to self-grade; self-grading is generous and corrupts the evidence.
  • You wrote the explanation AND grade the quiz — watch for grading inflation. Grade against the artifact and the stored answer/rubric, not against your own explanation's wording. When unsure between hit and partial, choose partial.
  • State is sacred. Never reset, rewrite, or prune ~/.explain-this/ except through the documented flows. Losing a learner's history is the worst failure this tool can have.

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 Explain This AI skill do?

Explain any digital artifact — a paper, PDF, article, code diff, or codebase — so the person actually understands it, not just skims it. Explanations are shaped by a persistent learner profile, gated by comprehension quizzes, and feed a spaced-repetition review loop. USE WHEN: explain this, explain this paper / PDF / article / diff / repo, help me understand this, what does this mean, what is this really saying, break this down, walk me through this, quiz me, review my cards, explain-this review, explain-this interview. NOT FOR: plain summarization when the user only wants a TL;DR, writing...

Why use Explain This on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DannyMac180/skills/tree/main/explain-this. 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 Explain This?

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 This?

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

Is the Explain This AI skill free?

Yes. It is published on GitHub by DannyMac180 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇