explaingit

breadoncee/dumb-it-down

Analysis updated 2026-05-18

0Audience · pm founderComplexity · 1/5LicenseSetup · easy

TLDR

An Agent Skill that rewrites dense AI-generated plans and code reviews into plain language, without hiding the risks or hard decisions.

Mindmap

mindmap
  root((dumb-it-down))
    What it does
      Rewrites plans in plain language
      Keeps risks and stakes visible
      Suggests follow-up questions
    Tech stack
      Agent Skills format
      Single markdown file
    Use cases
      Review AI-generated plans
      Explain code reviews simply
      Decode jargon in RFCs
    Audience
      PMs and founders
      Non-technical decision makers

Code map

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What do people build with it?

USE CASE 1

Turn a dense AI-generated plan into a plain-language summary before approving it.

USE CASE 2

Get a plain-English breakdown of a code review or pull request description.

USE CASE 3

Generate follow-up questions to push back on an AI coding agent's proposal.

USE CASE 4

Translate jargon in an architecture doc or RFC without losing the stated risks.

What is it built with?

Agent SkillsMarkdown

How does it compare?

breadoncee/dumb-it-down00kaku/gallery-slider-block04amanrajj/netwatch
Stars00
LanguageJavaScriptRust
Last pushed2021-05-19
MaintenanceDormant
Setup difficultyeasyeasymoderate
Complexity1/52/53/5
Audiencepm foundergeneralops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

dumb-it-down is an Agent Skill, a small set of instructions that a coding assistant like Claude Code, Cursor, or Copilot can follow, that turns dense technical plans into plain language a non-expert can actually decide on. You paste something like an AI-generated project plan, a code review, a pull request description, or an architecture document, say "dumb it down," and get back a plain-language rewrite organized into fixed sections. Those sections cover the whole thing in one sentence, what you are actually being asked to decide, how the idea works using everyday comparisons, what to watch out for such as risks or things that cannot be undone, good follow-up questions to ask, and a short glossary translating any technical terms that had to stay. The goal is to let someone skim a plan and still understand enough to push back on it, rather than approving something just because reading it carefully felt like too much work. The project's stated rule is that it simplifies the wording, not the stakes: it will not quietly drop the risky or irreversible parts of a plan to make it sound friendlier, unlike some plain-language tools. The whole skill lives in one readable file that instructs an AI agent how to read a plan, pull out the goal, the real decisions, the risks, and the jargon, and rewrite them in the fixed structure, with no code to run and no external dependencies. Installing it is a single command through the skills.sh installer, or you can clone the repository directly into a personal or project-level skills folder, since the repository itself is the skill file. It works across any AI coding agent that supports the open Agent Skills format.

Copy-paste prompts

Prompt 1
Install dumb-it-down with npx skills add breadoncee/dumb-it-down and dumb down this plan.
Prompt 2
Say dumb it down on this pull request description and show me the risks section.
Prompt 3
Use dumb-it-down to explain this architecture doc in plain language with analogies.
Prompt 4
Ask dumb-it-down what questions I should ask back about this coding agent's proposal.

Frequently asked questions

What is dumb-it-down?

An Agent Skill that rewrites dense AI-generated plans and code reviews into plain language, without hiding the risks or hard decisions.

How hard is dumb-it-down to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is dumb-it-down for?

Mainly pm founder.

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