Canva Brand Check logo

Canva Brand Check

Organization
canva-sdks
canva-brand-check

Check a Canva design against a brand kit and report where it diverges — off-palette colors, non-brand fonts, logo misuse, and off-tone copy. Read-only; makes no changes. Use when the user asks "is this on brand", "check this against our brand kit", "do a brand review", "does this match our brand guidelines", or "brand-check my design".

Overview

Publishercanva-sdks
Repositorycanva-skills
Skill namecanva-brand-check
Stars
141
Forks
33
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 canva-sdks on GitHub. Read the source before you install it.

Installation

Install the Canva Brand Check 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/canva-sdks/canva-skills/tree/main/plugins/canva/skills/brand-check
  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/canva-sdks/canva-skills.git /tmp/canva-skills
mkdir -p .claude/skills
cp -r /tmp/canva-skills/plugins/canva/skills/brand-check .claude/skills/canva-brand-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canva Brand Check 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 Canva Brand Check 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 Canva Brand Check 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 Checker

Compare a design against the user's brand kit and report, point by point, where it follows the brand and where it drifts. This is a specialised, brand-aware version of canva-design-feedback: same read-only "read the design, then critique" core, but the rubric is the brand kit. It never edits the design.

The brand-kit data gap — read this first

Canva:list-brand-kits is documented to return brand kit IDs, names, and thumbnails. It may NOT return the machine-readable palette (hex values) and font families. Your approach depends on what you actually get back:

  • If the kit exposes colors/fonts → use those exact hex codes and font names as the rubric (precise check).
  • If it only exposes a thumbnail/name → you cannot do an exact hex/font match. Fall back to a visual comparison against the kit thumbnail, and ASK the user to paste their brand colors (hex) and fonts so you can check precisely. Be explicit that, without those, the color/font findings are approximate.

Never invent brand colors or fonts. If you don't have the real values, say so.

Reading the design's actual colors and fonts

Canva:get-design-content returns text only — not colors or fonts.

  • A read-only editing transaction (Canva:start-editing-transaction → inspect → Canva:cancel-editing-transaction, always cancel) reliably gives element text, positions, and sizes.
  • Colors and fonts are NOT reliably exposed by the transaction — tested: it often returns only text + position + dimension, with no color/font attributes. So the thumbnail is your primary evidence for color and typography. Use any style data the payload happens to include, but never assert a design's hex or font as fact unless it was actually in the payload.

Because both the brand kit (see the gap above) AND the design itself frequently lack machine-readable colors/fonts, brand-check is often a visual comparison (design thumbnail vs. brand-kit thumbnail) plus the user-supplied palette/fonts. Use Canva:get-design-thumbnail for logo placement and overall visual tone.

Workflow

Step 1: Resolve the design

Short link → Canva:resolve-shortlink; full URL → extract ID; raw D... ID → use directly; otherwise ask.

Step 2: Get the brand kit

  • Canva:list-brand-kits. If several, ask which one (or infer from team/context).
  • Capture whatever the kit exposes (name, thumbnail, and colors/fonts if present).
  • Apply the data-gap handling above. If scopes are missing (e.g. "Missing scopes: [brandkit:read]"), tell the user to disconnect and reconnect the Canva connector to refresh the token.

Step 3: Read the design

  • Canva:get-design-thumbnail for visual/logo/tone.
  • Read-only transaction (start → inspect → cancel) for the actual colors and fonts in use.

Step 4: Compare against the brand

Check each dimension and mark On brand / Off brand / Can't verify:

  • Color — are fills/text/accents within the brand palette? Flag off-palette hexes (and the nearest brand color).
  • Typography — do fonts match brand fonts? Flag non-brand families and inconsistent sizing/weight usage.
  • Logo — present where expected, correct version, not stretched/recolored/crowded (visual check from thumbnail).
  • Tone & copy — does the wording match the brand voice the user describes?
  • Consistency — is brand application consistent across all pages?

Use Can't verify honestly whenever the kit didn't expose the data and the user hasn't supplied it.

Step 5: Report

## Brand check — "<design title>" vs "<brand kit name>"

Overall: ⚠️ Mostly on brand, 3 issues

### Off brand
- [Color] Page 2 heading is #1A73E8 — not in palette. Nearest brand color: #0B5CD7.
- [Font] Page 4 body uses Arial; brand body font is Inter.

### Can't verify (need input)
- Brand kit didn't expose hex values. Paste your palette + fonts for an exact check,
  or confirm the colors above against your guidelines.

### On brand
- Logo placement and cover treatment match the kit.

Step 6: Offer to fix

Offer to correct the API-fixable issues via canva-edit-design — note that the API can change text color and font size/weight/style, but CANNOT change font family or background colors (those are manual in Canva; see canva-edit-design).

Rules

  • Read-only: always cancel-editing-transaction after inspecting. Never commit.
  • Never fabricate brand values — use the kit's real data or what the user provides, otherwise mark Can't verify.
  • Always name the specific page/element and the offending value vs. the brand value.
  • Distinguish hard violations (wrong logo, off-palette color) from soft ones (slightly inconsistent spacing).

Frequently asked questions

What does the Canva Brand Check AI skill do?

Check a Canva design against a brand kit and report where it diverges — off-palette colors, non-brand fonts, logo misuse, and off-tone copy. Read-only; makes no changes. Use when the user asks "is this on brand", "check this against our brand kit", "do a brand review", "does this match our brand guidelines", or "brand-check my design".

Why use Canva Brand Check on TypingMind?

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

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

Which AI models can use Canva Brand Check?

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 Canva Brand Check?

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

Is the Canva Brand Check AI skill free?

Yes. It is published on GitHub by canva-sdks 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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