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Design Brain Add Source

Community
fabioalencar
design-brain-add-source

Add a published design source (an article, a guideline page, a study) to the design-brain ledger as reviewable candidates. Use whenever the user shares a link or a passage and says to add it, save it, capture it, or "put this in the brain" — and whenever they read something and want its rules kept. Extracts only checkable rules, cites the source, and files them for review; it never promotes anything.

Overview

Publisherfabioalencar
Repositorydesign-brain
Skill namedesign-brain-add-source
Stars
12
Forks
0
Bundled files
Instructions only
LicenseMIT
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 fabioalencar on GitHub. Read the source before you install it.

Installation

Install the Design Brain Add Source 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/fabioalencar/design-brain/tree/master/agent-skills/design-brain-add-source
  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/fabioalencar/design-brain.git /tmp/design-brain
mkdir -p .claude/skills
cp -r /tmp/design-brain/agent-skills/design-brain-add-source .claude/skills/design-brain-add-source
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Brain Add Source 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 Design Brain Add Source 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 Design Brain Add Source 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.

design-brain-add-source

Turns something the user just read into candidates in their brain's inbox/, each with a reference back to where it came from. The user reviews them later in the queue; nothing here decides what they believe.

When to use this

They paste a URL or a passage and want it kept: "add this", "save this to the brain", "capture these guidelines". If they are describing a decision from their own work instead of a published source, that is a different thing — a harvested rule, not a reference.

Steps

  1. Check the reading list first. If they say "process my reading list" or give no source at all, read inbox/_reading-list.md in their brain: links they saved from the review app. Work through them, and remove each line once its candidates are filed.

  2. Read the source. Fetch the URL with whatever browsing tool this session has, or use the text they pasted. If you cannot reach it, say so and ask them to paste the passage rather than writing rules from the title alone.

  3. Find the brain. Run design-brain check in their brain directory to confirm it is there. If they have not said which, ask, or use $DESIGN_BRAIN.

  4. Extract only checkable rules. A rule earns a candidate when a reviewer could look at a screen and say whether it holds. Keep the source's substance, write it in your own words, and drop:

    • restatements of something the ledger already says (grep inbox/ and decisions/ for the idea first, and say which ones you skipped),
    • advice too vague to check ("be consistent", "know your users"),
    • anything specific to that author's product.

    Expect two to eight from a long article. Fewer, well-stated, beats many.

  5. Shape each one.

    • title: one sentence naming the rule, at most 80 characters. It is the rule, not the article's headline and not the law's name.
    • rule: one sentence stating what to do or avoid, then at most two short paragraphs of one idea each, five rows maximum. Three or more cases become a list.
    • why: one or two short paragraphs. The mechanism, not a summary of the article.
    • kind: heuristic (a general usability rule), bias (something to avoid, whether a pattern that exploits users or one the designer falls into), or practice (good practice for a named component — then set component).
    • stance: always, never, prefer, avoid or context, honestly. supports the direction without saying it; note the doubt in why.
    • scope: universal. A published source is never the user's personal taste.
    • evidence: at least one reference:<url> — Publisher, Title. Cite the specific page, never a homepage. Add a second line for a study or spec the page rests on.
  6. Stage and write. Put the objects in one JSON array in a scratch file, then:

    bash
    design-brain add /tmp/staged.json --brain <their brain>

    The ledger allocates the ids, writes the frontmatter and refuses anything malformed. Never write into inbox/ by hand, and never set status: confirmed.

  7. Report. List what you added with its id and title, name what you skipped as already covered, and tell them the queue is where they decide. Do not confirm, retire, or compile.

The shape design-brain add expects

json
[
  {
    "title": "Put the primary action where the eye already is",
    "dimension": "layout",
    "stance": "prefer",
    "kind": "practice",
    "component": "modals",
    "rule": "One sentence, then at most two short paragraphs.",
    "why": "The mechanism, briefly.",
    "examples": "Optional, neutral, no project names.",
    "exceptions": "Optional.",
    "evidence": ["reference:https://example.com/article — Publisher, Title"]
  }
]

dimension is one of typography, color, spacing, layout, motion, copy, components, process, anti-slop. component applies to a practice only.

Rules this obeys

  • Candidates never self-accept. Everything lands as status: candidate.
  • No client or project names in a rule's text; a published source is universal.
  • Evidence is mandatory: no reference, no candidate.
  • Titles are two lines, bodies read in short paragraphs.

Frequently asked questions

What does the Design Brain Add Source AI skill do?

Add a published design source (an article, a guideline page, a study) to the design-brain ledger as reviewable candidates. Use whenever the user shares a link or a passage and says to add it, save it, capture it, or "put this in the brain" — and whenever they read something and want its rules kept. Extracts only checkable rules, cites the source, and files them for review; it never promotes anything.

Why use Design Brain Add Source on TypingMind?

Because you install it once and use it with any model. Design Brain Add Source 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 Design Brain Add Source in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fabioalencar/design-brain/tree/master/agent-skills/design-brain-add-source. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Brain Add Source?

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 Design Brain Add Source?

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

Is the Design Brain Add Source AI skill free?

Yes. It is published on GitHub by fabioalencar under the MIT 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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