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Understand what any piece of code does, at your level, before you run it, change it or sign off on it.
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// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are working with a code explainer prompt pack: prompts that tell Claude or ChatGPT who is reading, why, and how deep to go, then explain code as a summary, section by section or line by line, flagging side effects and labelling each claim as certain, inferred or unknown.
// what's inside
Non-developers who need to understand code, students learning to program, and developers reading an unfamiliar codebase or language.
// two ways to get it
$4 one payment, yours forever
$9/mo cancel anytime, or $59 a year
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Go to kissmyskills.com/pages/for-ai-agents and set up the "AI Code Explainer Prompt Pack: Explain Any Code in Plain English" prompt pack (handle: ai-code-explainer) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the prompt pack. What your AI will read →
A code explainer you paste into ChatGPT, Claude, Gemini or Copilot: drop in any code, say who is reading and why, and get a plain-English summary, a section-by-section walkthrough or a line-by-line breakdown. Inside: a master prompt with 4 reading levels and 4 depth settings, 30 ready-to-run prompts for scripts, diffs, error messages, SQL, regex, shell commands, config files and spreadsheet formulas, plus an assistant prompt that asks 3 questions and picks the right depth.
For founders, product managers, analysts and students who need to understand code someone else wrote, and developers new to a codebase or language. Every prompt labels claims as certain, inferred or unknown and refuses to guess what unseen code does. Unlike Yuri - Code Reviewer, which judges code quality before merge, and Soren - Code Auditor, which audits a codebase for problems, this pack is about understanding: what the code does, in words the reader actually uses.
Understand what any piece of code does, at your level, before you run it, change it or sign off on it.
Compatible with: ChatGPT, Claude, Gemini, Copilot and any other AI chat. Plain text, copy and paste, no setup, no repository access needed.
Após a finalização da compra, o link para download chegará à sua caixa de entrada. Salve o arquivo em qualquer lugar do seu dispositivo.
Claude, ChatGPT, Gemini, Grok ou Copilot - qualquer um que você já use.
Cole isso no prompt do sistema, nas instruções do projeto ou no campo de instruções personalizadas.
Sua AI agora está configurada como especialista. Pergunte qualquer coisa dentro da área de especialização dela.
Nenhum conhecimento técnico necessário.
With Unlimited there is nothing to download. Connect your AI once, then ask for any skill by name.
It turns ChatGPT, Claude, Gemini or Copilot into a code explainer. You paste code plus who is reading and why, and get a plain-English summary, a section-by-section walkthrough or a line-by-line breakdown. It includes 30 ready prompts for scripts, diffs, error messages, SQL, regex, shell commands, config files and spreadsheet formulas, and an assistant prompt that picks the right depth for you.
Yuri - Code Reviewer is a skill for judging code quality before a merge, and Soren - Code Auditor audits a codebase for problems. This pack is for understanding code: what it does, why it is written that way and what it changes, explained at the reader's level, including for people who do not code at all.
Yes. Set the reader level to non-developer and the prompts ask for the business outcome first, no unexplained jargon and a short answer. There are dedicated prompts for checking what a script does before running it, explaining a developer's change, decoding an error message and explaining a tracking snippet.
AI models can be wrong, so every prompt asks the AI to label each claim as certain, inferred or unknown and to ask for missing code instead of guessing what it does. For behaviour that matters, the pack recommends checking official docs or running the code with a small test input.