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Judge Group Closure

Organization
sno-ai
judge-group-closure

Judge which offered rows one nominated statement retires or replaces.

Overview

Publishersno-ai
Repositorysno-station
Skill namejudge-group-closure
Stars
622
Forks
363
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 sno-ai on GitHub. Read the source before you install it.

Installation

Install the Judge Group Closure 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/sno-ai/sno-station/tree/main/packages/memory/skills/judge-group-closure
  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/sno-ai/sno-station.git /tmp/sno-station
mkdir -p .claude/skills
cp -r /tmp/sno-station/packages/memory/skills/judge-group-closure .claude/skills/judge-group-closure
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Judge Group Closure 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 Judge Group Closure 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 Judge Group Closure 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.

Judge Group Closure

Group Closure

  • A nominated row is a retirement statement when it says that a fact in one candidate row is no longer current, including when it describes that fact as a past preference.
  • Past tense or a shared topic is not enough. Choose a target only when the nominated row makes the candidate row's present claim no longer true.
  • Return null when both rows can be true at the same time, including when they describe different strengths of interest or different aspects of one topic.
  • Treat strength as part of the fact. A past strong preference does not retire a present weaker interest in the same topic. It retires only a candidate that claims the same strong preference is current.
  • Example: "used to be interested in X" retires "enjoys X" because it says the base interest is no longer current.
  • Counterexample: "used to really like X" does not retire "is currently drawn to X" because a former strong preference and a present weaker interest can both be true. Return null.
  • Choose every candidate row whose current meaning the nominated row retires.
  • Return those candidate row ids. Return an empty set when the nominated row retires no offered candidate.
  • Choose only by meaning. Shared words, text order, and age do not identify the target row.

Frequently asked questions

What does the Judge Group Closure AI skill do?

Judge which offered rows one nominated statement retires or replaces.

Why use Judge Group Closure on TypingMind?

Because you install it once and use it with any model. Judge Group Closure 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 Judge Group Closure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sno-ai/sno-station/tree/main/packages/memory/skills/judge-group-closure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Judge Group Closure?

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 Judge Group Closure?

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

Is the Judge Group Closure AI skill free?

Yes. It is published on GitHub by sno-ai 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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