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Brand Setup

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hassancs91
brand-setup

Makes this repo's videos look like YOUR channel instead of the house default — interviews you for palette, fonts, wordmark, motion energy, delivery specs and SFX taste, then rewrites brand.md + remotion/src/brand.ts + remotion/src/fonts.ts together and renders a proof card so you SEE it. Use whenever the user wants to set up or change their brand, rebrand the repo, "make it my colors/fonts", change the accent color, set their wordmark, adjust the motion feel, or asks why their videos look like someone else's. Run it once before the first video. Not for per-video art direction (that is /make-tsx) and not for thumbnails, which are deliberately louder than the brand (that is /packaging).

Overview

Publisherhassancs91
Repositoryclaude-youtube-editor
Skill namebrand-setup
Stars
345
Forks
126
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 hassancs91 on GitHub. Read the source before you install it.

Installation

Install the Brand Setup 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/hassancs91/claude-youtube-editor/tree/main/.claude/skills/brand-setup
  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/hassancs91/claude-youtube-editor.git /tmp/claude-youtube-editor
mkdir -p .claude/skills
cp -r /tmp/claude-youtube-editor/.claude/skills/brand-setup .claude/skills/brand-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Setup 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 Brand Setup 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 Brand Setup 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.

Brand Setup

Run this once, before your first video. This repo ships with a house brand — a calm, premium indigo look. It's a real, working brand, not a placeholder, and you're welcome to keep it. But if you never touch it, every video you make here looks like the channel it came from. This skill fixes that in one pass.

What this skill owns

Three files that must stay in sync, and this skill is the only thing that should write all three:

FileWhat it holdsWho reads it
brand.mdthe contract, in proseevery step-2+ skill (/make-tsx, /suggest-sfx, /packaging)
remotion/src/brand.tsthe same tokens as code — COLORS, GRADIENT, RADIUS, SHADOW, EASINGS, BRANDevery shot
remotion/src/fonts.tsthe font families, loaded from @remotion/google-fontsevery shot

They drift silently. brand.md says indigo, brand.ts says teal, and nothing errors — the docs just quietly stop describing the videos. That's why one skill writes all three in one pass.

Every shot imports from brand.ts / fonts.ts, so changing a value here re-brands every video in the repo, retroactively. That's the whole point of a contract.

The flow


Stage 1 — Interview (ONE message, not twenty questions)

Ask it all at once, and say up front that "keep the default" is a valid answer to any of it — most people care about two or three of these and have no opinion on the rest.

  1. Channel identity — the wordmark text, and what the channel is about in a sentence. The wordmark renders in three parts with the middle part in the accent color (['Learn','With','Hasan'] → the "With" is indigo). Two-part marks use an empty third (['Acme','Labs','']). Also: the sign-off line for the end card.
  2. The feeling — calm/premium, loud/energetic, playful, editorial, technical? This drives motion and shape more than color does.
  3. Palette — do they have brand colors already (paste hex), or should you propose from the feeling? Light base or dark base? The accent is the single most important choice: it's the key words, the highlights, the CTAs, the wordmark's middle.
  4. Type — existing brand fonts, or propose to fit the feeling? Must be Google Fonts (see the hard gate in Stage 3).
  5. Delivery specs — what does your camera actually shoot? Resolution and frame rate. This is not taste; it's the one value that must match reality (see the trap below).
  6. SFX taste — subtle accents under the voice, or louder/punchier?

Stage 2 — Propose before you write

Show the full proposal in the chat first — palette as a table (role · hex · what it's for), the font names, the motion feel, the delivery specs. Get a yes.

Reading hex codes in a table is cheap. Rewriting three files and re-rendering is not. Do not skip to writing because the answers "seem clear."


Stage 3 — Hard gate: the fonts must actually exist

Fonts are the #1 way this breaks the build. fonts.ts imports from @remotion/google-fonts, so a family that isn't in that package fails to resolve. A local/purchased/system font will not work — if they name one, tell them plainly and pick the closest Google family.

Verify before writing. Both checks, every font:

bash
cd remotion

# 1. Does the family exist? (PascalCase, no spaces: "Space Grotesk" -> SpaceGrotesk)
ls node_modules/@remotion/google-fonts/dist/esm/ | grep -i "^Poppins\."

# 2. Does it HAVE the weights you're about to request?
grep -oE '"[0-9]{3}":' node_modules/@remotion/google-fonts/dist/esm/Poppins.mjs | sort -u

~1,800 families are available, so there is almost always a good match.

The weight trap is real, not theoretical. Space Grotesk stops at 700 — no 800/900. Oswald stops at 700. Requesting a weight the family doesn't ship gives you a silent fallback or a broken render, and you won't notice until a headline looks wrong. Check, then request only what exists.


Stage 4 — Contrast gate

Text has to be readable, and a beautiful palette that fails here produces unreadable videos. Compute it, don't eyeball it (chroma-js is already a dependency):

bash
cd remotion && node -e "
const chroma = require('chroma-js');
const C = { ink:'#1a1a2e', muted:'#6b6b7b', paper:'#fffef7', accent:'#6366F1' };
const p = [['ink','paper'],['muted','paper'],['accent','paper'],['paper','accent']];
for (const [a,b] of p) console.log(a.padEnd(7),'on',b.padEnd(7), chroma.contrast(C[a],C[b]).toFixed(2)+':1');
"

Judge each pair by how it's actually used, not one blanket number:

PairUsed forGate
ink on paperbody text, everywhere≥ 7:1
muted on papercaptions, secondary labels≥ 4.5:1
accent on paperlarge key words only (34px+)≥ 3:1
paper on accentpill/chip text, small≥ 4:1

For reference, the house default measures 16.87 / 5.17 / 4.42 / 4.42. Note the accent sits at 4.42 — comfortable for big words, tight for small ones. That's the normal shape of this tradeoff: a saturated accent that pops on a light base rarely also clears 7:1. Fine. Just don't put small text on it.

Below 3:1 on any pair, do not ship it — darken the shade and re-check. Between 3:1 and the gate, say so out loud and let them choose. Never silently accept a palette that can't be read.


Stage 5 — Write all three files, in one pass

remotion/src/brand.ts — keep every exported name exactly as-is. 29 shots import COLORS, EASINGS, GRADIENT, RADIUS, SHADOW, BRAND; renaming or dropping a role breaks all of them. Change the values, never the keys. Fill every role — a palette that omits warn or danger compiles and then explodes at render.

remotion/src/fonts.ts — swap the families and weights (verified in Stage 3). Keep FONT_DISPLAY / FONT_BODY / FONT_MONO exported. FONT_SERIF exists only for the Claude Code wordmark clone — it isn't a brand font, so leave it alone unless asked.

brand.md — rewrite §1–§7 and §9–§10 to match. Do not touch §8 (Asset & source locations) — that's pipeline structure, not brand, and the other skills depend on it being accurate.

Keep brand.md's shape: the other skills read it by section, and /suggest-sfx reads §10 for its SFX taste and function table specifically.

The delivery-specs trap (§7). Canvas + fps are the one place where taste is wrong and reality is right: the canvas fps must match the master cut's frame rate. Shoot 1080p30 and it should say 1080p30. A mismatch here doesn't error — it desyncs every shot from the narration, and you'll blame the timing before you blame the brand file. Ask what the camera shoots; never assume.


Stage 6 — Prove it (do not skip)

Render the brand back at them and read the frame yourself before showing it:

bash
cd remotion && npm run gen
npx tsc --noEmit
npx remotion still src/index.ts BrandProof out/brand-proof.png --frame=95

BrandProof (remotion/src/shots/brand/BrandProof.tsx) is a utility shot, not a video beat. It hardcodes nothing — it reads brand.ts and fonts.ts live, so what renders is genuinely what the shots will use. It shows the wordmark, the full palette with hex labels, the gradient, all three fonts, the card depth, and the accent-legibility line.

Look at it and check: is the wordmark right? Is the accent word legible? Do the fonts look like what you proposed? Then show them the image.

Finally, render one real example shot (EndCard is the fastest) to confirm nothing broke downstream.


Hard rules

  • All three files or none. Never update brand.ts without brand.md. Silent drift is the failure mode this skill exists to prevent.
  • Change values, never keys. Every shot imports the token names. Renaming a color role breaks 29 files at once.
  • Fonts must be verified in @remotion/google-fonts before writing — family AND weights.
  • The palette must clear the contrast gate, judged by usage. Below 3:1 is not shippable.
  • Delivery fps must match the camera, not the brand's preference.
  • Don't touch brand.md §8. It's structure, not style.
  • Never re-tune a thumbnail to match the brand. Thumbnails are deliberately louder — they live on the browse wall and play by CTR rules. See /packaging. Two systems, on purpose.
  • The house default is a real brand, not a placeholder. "Keep it" is a legitimate answer; the only thing that's genuinely wrong is shipping someone else's wordmark on your channel. If they keep everything else, still set BRAND.wordmark.

Frequently asked questions

What does the Brand Setup AI skill do?

Makes this repo's videos look like YOUR channel instead of the house default — interviews you for palette, fonts, wordmark, motion energy, delivery specs and SFX taste, then rewrites brand.md + remotion/src/brand.ts + remotion/src/fonts.ts together and renders a proof card so you SEE it. Use whenever the user wants to set up or change their brand, rebrand the repo, "make it my colors/fonts", change the accent color, set their wordmark, adjust the motion feel, or asks why their videos look like someone else's. Run it once before the first video. Not for per-video art direction (that is /make...

Why use Brand Setup on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hassancs91/claude-youtube-editor/tree/main/.claude/skills/brand-setup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brand Setup?

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 Brand Setup?

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

Is the Brand Setup AI skill free?

Yes. It is published on GitHub by hassancs91 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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