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Mind To Report

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junruxiong
mind-to-report

Turns the User's Mind, meaning the Notes, Questions and earlier Answers above the Question, into a structured report draft with a title, a summary, sections and a conclusion, keeping their Citations and inventing no sources. Use when the User asks to write up, draft a report, compile or turn their notes or this Mind into a document.

Overview

Publisherjunruxiong
RepositoryIncarnaMind
Skill namemind-to-report
Stars
804
Forks
55
Bundled files
Instructions only
LicenseApache-2.0
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 junruxiong on GitHub. Read the source before you install it.

Installation

Install the Mind To Report 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/junruxiong/IncarnaMind/tree/main/resources/skills/mind-to-report
  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/junruxiong/IncarnaMind.git /tmp/IncarnaMind
mkdir -p .claude/skills
cp -r /tmp/IncarnaMind/resources/skills/mind-to-report .claude/skills/mind-to-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mind To Report 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 Mind To Report 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 Mind To Report 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.

Mind to report

Turn the User's Mind into a draft report. The material is what came above this Question: the User's Notes and earlier Questions, and the earlier Answers (your previous messages).

Read the material

  • Read all of it before writing. The Question may say what the report is for, who will read it, how long it should be, or what to leave out: follow that.
  • Citations in the Mind appear as references in square brackets after a claim, such as [Attention Is All You Need, p. 3]. Note which claim each one belongs to.
  • The report drafts what the Mind already says. Don't add new topics, findings or facts. Leave out earlier Questions as questions, but use what their Answers found.

Structure

Write in the language the Question is written in, even when the Mind is in another language, and translate the headings too.

  1. Title: a # heading that says what the report is about.
  2. Summary: one short paragraph with the main points and conclusions.
  3. Sections: ## headings, organised by topic rather than in the order things were written. Merge points that are repeated, keep the reasoning that connects them, and turn notes and fragments into full sentences. Where the Notes and the Answers disagree, say so in the text rather than silently choosing one.
  4. Conclusion: what follows from the sections, and what is still open or unresolved in the Mind.

Write connected paragraphs; use lists only where the material is a list. Don't use tables.

Keep the Citations

  • Every claim that carried a Citation in the Mind keeps one in the report, attached to the same claim.
  • Where you can, cite it again the way your instructions for citing say: search the Documents (search_documents) for the claim, and cite the Passage that supports it with a marker.
  • Where you can't find that Passage again, or can't search, keep the reference exactly as it appears in the Mind, such as [Attention Is All You Need, p. 3], right after the claim.
  • Never invent a source, a page or a quote, never attach a reference to a claim it wasn't attached to, and don't write a list of sources or a bibliography.
  • Claims that had no Citation stay without one. If one of them is an important factual claim, you may mark it "(source needed)", in the language of the report, so the User can check it.

Say what is missing

If the Mind has little in it, or nothing on part of what the Question asks for, say so plainly and draft only what the Mind supports. Don't pad the report with general knowledge.

Frequently asked questions

What does the Mind To Report AI skill do?

Turns the User's Mind, meaning the Notes, Questions and earlier Answers above the Question, into a structured report draft with a title, a summary, sections and a conclusion, keeping their Citations and inventing no sources. Use when the User asks to write up, draft a report, compile or turn their notes or this Mind into a document.

Why use Mind To Report on TypingMind?

Because you install it once and use it with any model. Mind To Report 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 Mind To Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/junruxiong/IncarnaMind/tree/main/resources/skills/mind-to-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mind To Report?

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 Mind To Report?

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

Is the Mind To Report AI skill free?

Yes. It is published on GitHub by junruxiong under the Apache-2.0 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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