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Explain Then Fix

Community
jnsahaj
explain-then-fix

Work through bugs or reported issues one cause at a time — reproduce the reporter's own case, explain the root cause with annotated evidence and a diagram, lay out fix options, wait for "go", then fix and show before/after.

Overview

Publisherjnsahaj
Repositoryskills
Skill nameexplain-then-fix
Stars
106
Forks
1
Bundled files
Instructions only
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 jnsahaj on GitHub. Read the source before you install it.

Installation

Install the Explain Then Fix 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/jnsahaj/skills/tree/main/skills/explain-then-fix
  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/jnsahaj/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/explain-then-fix .claude/skills/explain-then-fix
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explain Then Fix 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 Then Fix 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 Then Fix 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, Then Fix

The user decides every fix. Nothing is changed, pushed, closed or published until they say so, and everything happens in this chat.

Steps

  1. Pick. One problem, or a few that look like one cause. Say which, in one line.

  2. Reproduce. On the reporter's own case: their data, their environment, their steps. Use the project's own repro and screenshot tooling (its AGENTS.md or CLAUDE.md, and its skills). Measure it: a number, a count, the exact message. If their case can't be had, say so and ask for it; a stand-in is labelled as a stand-in.

  3. Explain. In plain words, naming things the way the reporter would, never internal ids.

    • The evidence with the cause drawn over it, whenever there is a screenshot, output or trace that shows the problem: the measured values marked on it, from what the program computed, not eyeballed.
    • A diagram of the cause, in chat: what the code believes, and what the user sees because of it.
    • The code locations (file:line) in text, under the pictures.
  4. Discuss. Lay out the fix options, each with what it fixes, what it doesn't, and what else it touches. Give a recommendation. Then stop and wait for "go".

  5. Fix, on "go". Implement it. Add the few tests that fail before and pass after, on the reporter's case where there is one. Show before/after of the reported case, and look at it yourself before sending it.

  6. Next. Say what is left of the group, then propose the next group and go back to 1.

Rules

  • No code change before "go".
  • No push, issue close or page publish without an explicit yes, every time.
  • A page published earlier is read-only reference.
  • Show the reported case, not a synthetic one; a stand-in can hide the bug.

Frequently asked questions

What does the Explain Then Fix AI skill do?

Work through bugs or reported issues one cause at a time — reproduce the reporter's own case, explain the root cause with annotated evidence and a diagram, lay out fix options, wait for "go", then fix and show before/after.

Why use Explain Then Fix on TypingMind?

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

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

Which AI models can use Explain Then Fix?

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 Then Fix?

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

Is the Explain Then Fix AI skill free?

It is published on GitHub by jnsahaj. Check the repository for licensing terms. 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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