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Factory Explain

Community
MikeFishbeinAtherial
factory-explain

Explain a codebase or build plan like the listener is 10 years old - household analogies, mermaid diagrams, zero unexplained jargon. Two factory checkpoints (after planning - "here's what we're about to build"; after review - "here's how what got built actually works") plus standalone on any codebase. Explanations accumulate into factory/GUIDE.md, a plain-language owner's manual. Understanding is a first-class output of the factory, not a byproduct. Triggers - "explain like I'm 10", "how does this codebase work", "what did we just build", "factory explain".

Overview

PublisherMikeFishbeinAtherial
Repositoryinfinite-headcount
Skill namefactory-explain
Stars
50
Forks
5
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 MikeFishbeinAtherial on GitHub. Read the source before you install it.

Installation

Install the Factory Explain 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/MikeFishbeinAtherial/infinite-headcount/tree/main/factory-explain
  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/MikeFishbeinAtherial/infinite-headcount.git /tmp/infinite-headcount
mkdir -p .claude/skills
cp -r /tmp/infinite-headcount/factory-explain .claude/skills/factory-explain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Factory Explain 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 Factory Explain 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 Factory Explain 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.

Factory Explain

Giving the user real understanding is what separates owning your software from renting it from an AI. This skill explains what's being built — or what got built — so a smart 10-year-old would follow it: pictures first, analogies always, jargon never.

Three modes:

  • Pre-build (factory stage 3→4): explain the plan — what we're about to build and how the pieces will fit. The cheapest moment to catch "wait, that's not what I meant."
  • Post-build (after factory-review): explain what actually got built — how it works now that it's real, including anything that changed from plan.
  • Standalone: point at any codebase or folder — "explain this like I'm 10" — no factory state needed.

Rules of explanation

  1. Analogy before mechanism. Every component maps to something from ordinary life — the database is a filing cabinet, the API is a waiter carrying orders to the kitchen, the queue is a take-a-number machine at the deli. Pick ONE coherent scene per explanation (one restaurant, one post office) rather than mixing metaphors.
  2. Picture before paragraph. Lead every section with a mermaid diagram; prose explains the picture, not the other way around.
  3. Zero unexplained jargon. Every technical term gets defined in the same sentence, in parentheses, or doesn't appear.
  4. Follow one thing through the system. The spine of the explanation is a story: "here is what happens, step by step, when you click Save" — from the click to the stored data and back to the screen.
  5. Honest, not dumbed down. Simplify the language, never the truth. If something is fragile or was parked, the explanation says so plainly.
  6. End with "what you can now say." Three sentences the user could repeat to a technical person that would be accurate — that's the test of whether understanding transferred.

Structure of one explanation

markdown
## <Title: "What we're about to build" | "How <project> works">
### The whole thing in one picture
<mermaid flowchart: 5-9 boxes MAX, plain-language labels — "Saves your
items", never "ItemService". More boxes = zoom out further.>
### The cast of characters
<each box: what it does, its analogy, where it lives (folder/file)>
### Follow one click through the system
<the sequence story — mermaid sequenceDiagram if it earns it>
### The parts most likely to confuse you
<2-3 honest gotchas in plain language>
### What you can now say
<the three accurate sentences>

Diagram hygiene: quote node labels, keep them under ~6 words, direction top-down for structure and left-right for flows. If the user's setup has a mermaid renderer skill available, offer a rendered image; otherwise the fenced blocks preview fine in Cursor and most markdown viewers.

Accumulate into factory/GUIDE.md

In factory modes, every explanation is appended to factory/GUIDE.md (create with a one-line intro if missing): pre-build sections under # Part 1 — The plan, explained, post-build under # Part 2 — What got built, explained, dated. Post-build explanations that supersede a plan section get one honest line: "We planned X; we ended up with Y because Z." Over time GUIDE.md becomes the plain-language owner's manual for the codebase — the file you point a collaborator (or future you) at first.

Interactive close

End every explanation with: "Which part should I zoom into?" — then explain that part one level deeper, same rules, same analogy scene. Depth on demand beats length by default.

In factory mode, update STATE.md's notes line ("plan explained to user " / "build explained ") — the conductor uses it to avoid re-offering what's already been done. If factory/STATE.md doesn't exist (standalone use), create it first with a minimal version of the schema described in factory/SKILL.md.

Frequently asked questions

What does the Factory Explain AI skill do?

Explain a codebase or build plan like the listener is 10 years old - household analogies, mermaid diagrams, zero unexplained jargon. Two factory checkpoints (after planning - "here's what we're about to build"; after review - "here's how what got built actually works") plus standalone on any codebase. Explanations accumulate into factory/GUIDE.md, a plain-language owner's manual. Understanding is a first-class output of the factory, not a byproduct. Triggers - "explain like I'm 10", "how does this codebase work", "what did we just build", "factory explain".

Why use Factory Explain on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MikeFishbeinAtherial/infinite-headcount/tree/main/factory-explain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Factory Explain?

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 Factory Explain?

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

Is the Factory Explain AI skill free?

Yes. It is published on GitHub by MikeFishbeinAtherial 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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