Brief logo

Brief

Organization
greenfield-inc
brief

Use when a problem, idea, or change of intent is worth capturing as a long-form page, or the person asks to write it up. Never chooses a solution; the tracker issue belongs to create-ticket.

Overview

Publishergreenfield-inc
RepositoryPane
Skill namebrief
Stars
529
Forks
227
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by greenfield-inc on GitHub. Read the source before you install it.

Installation

Install the Brief 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/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/brief
  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/greenfield-inc/Pane.git /tmp/Pane
mkdir -p .claude/skills
cp -r /tmp/Pane/main/src/services/paneChatBundle/skills/brief .claude/skills/brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brief 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 Brief 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 Brief 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.

Brief

A brief says what is wrong or wanted, for whom, and how a user would know it is solved. It survives a change of approach, because it contains no approach. Alternatives belong in the options document. Steps belong in the plan.

Capture the intent

  • Preserve the person's language and constraints. Ground every statement in a source: the conversation, an issue, a bug report, the code.
  • Keep four things visibly apart: facts, decisions already made, proposals, and open questions. Label suspected causes and unmeasured impact as such.
  • Capture the trigger: what happened, what was expected, and what it costs. For a new idea, capture the unmet need.
  • When the request arrives with a solution attached ("add patches to cut editing costs"), look at the actual behaviour and cost first, and write the problem underneath it.
  • Ask what is missing instead of inventing it: what prompted this, who is affected, what a good result would enable, what would make the current approach good enough.
  • Read the code, or give a fresh-context subagent one question to answer with the gather-evidence skill, when a fact about today's behaviour is needed. Give the subagent just that question.
  • Research settles behaviour, never approach. A researched answer about what a user observes goes in as a labelled proposal with its source, pending the person's confirmation; anything about how it is built is only named here and argued in the options document.

When intent changes

Revise the same brief. Mark the earlier goal as superseded, cite the decision that replaced it, refresh success and constraints, and add a change-log line. Keep constraints that still hold. If what changed is only the approach, the brief does not change: that belongs in the options document.

One brief or several

Keep one coherent outcome together. Split work that has independent outcomes, owners, or release timing, and link the shared context.

Layout

An HTML page for a person, rendered with the page house standard. Layout: references/brief-layout.md. Someone who was not in the conversation should understand the problem in a minute.

Save and link

Draft freely during discussion. Save or publish only when the person asks or confirms it is ready. Filing an issue does not mean work starts. When you save, follow references/saving.md: the bundle first, the tracker issue when they use one, then read back what you saved.

Ready check

Before calling it ready, read it as the person who will pick it up: can they say what is wrong, why it matters, how success is observed, and which decisions are still open? Set the status chip accordingly. When the person is ready to choose a direction, the brief goes to Socrates review with the options document, as the options skill describes.

Banned

  • An architecture or implementation presented as decided
  • Acceptance criteria written as implementation steps
  • Implementation steps, file lists, or a plan

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Brief AI skill do?

Use when a problem, idea, or change of intent is worth capturing as a long-form page, or the person asks to write it up. Never chooses a solution; the tracker issue belongs to create-ticket.

Why use Brief on TypingMind?

Because you install it once and use it with any model. Brief 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 Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/brief. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Brief?

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 Brief?

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

Is the Brief AI skill free?

It is published on GitHub by greenfield-inc. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇