Canva Design Feedback logo

Canva Design Feedback

Organization
canva-sdks
canva-design-feedback

Read a Canva design and return structured, actionable design feedback — visual hierarchy, copy/messaging, layout & spacing, consistency, readability, and accessibility. Read-only; makes no changes to the design. Use when the user asks to "review my design", "give me feedback on this", "critique my deck/poster/flyer", "how can I improve this design", or "what's wrong with this slide".

Overview

Publishercanva-sdks
Repositorycanva-skills
Skill namecanva-design-feedback
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 Design Feedback 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/get-design-feedback
  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/get-design-feedback .claude/skills/canva-design-feedback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canva Design Feedback 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 Design Feedback 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 Design Feedback 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.

Get Design Feedback

Act as a design reviewer: read the design as it actually appears, then return concrete, prioritised feedback the user can act on. This skill is read-only — it never edits the design. When the user wants the changes made, hand off to canva-edit-design or canva-implement-feedback.

What you can actually read (and the gap to know about)

  • Canva:get-design-content returns text (richtexts) only — good for copy, headings, and wording, but it does NOT include colors, fonts, sizes, or element positions.
  • Canva:get-design-thumbnail gives you the rendered image — this is how you "see" layout, hierarchy, balance, color, and contrast. Always pull this; visual critique depends on it.
  • Element positions, sizes, and text are reliably available from a read-only editing transaction: Canva:start-editing-transaction, inspect the returned richtexts/fills, then Canva:cancel-editing-transaction (never commit — you are not changing anything). Use this for layout/spacing/alignment detail.
  • Colors and fonts are NOT reliably exposed. Tested: the transaction payload often returns only text + position + dimension per element, with no color or font attributes. So treat the thumbnail as the primary source for any color, contrast, or typography judgement, and treat transaction style data as best-effort (use it when present, don't depend on it). Never report a specific hex/font as fact unless the payload actually contained it.

Workflow

Step 1: Resolve the design

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

Step 2: Read the design

  • Canva:get-design for title and page count.
  • Canva:get-design-thumbnail (and/or Canva:get-design-pages) to see each page.
  • Canva:get-design-content for the text.
  • Optional (typography/color detail): read-only transaction as described above, then cancel it.

Step 3: Evaluate across dimensions

Assess the design against these lenses. Skip any that don't apply to the design type:

  • Visual hierarchy — does the eye land on the most important thing first? Title/subtitle/body contrast.
  • Layout & spacing — alignment, balance, crowding, consistent margins/gutters.
  • Copy & messaging — clarity, length, tone, typos, jargon, a single clear takeaway per page.
  • Consistency — repeated fonts, sizes, colors, and spacing across pages.
  • Readability & contrast — text size vs. viewing context, text-on-image legibility, color contrast.
  • Accessibility — contrast ratios, alt text, text not conveyed by color alone.
  • Fit for purpose — does it suit the stated channel/audience (a slide ≠ an Instagram post ≠ a flyer)?

Step 4: Return structured feedback

Organise findings by page, each with a severity and a concrete fix:

## Feedback — "<design title>" (N pages)

### Top priorities
1. [High] Page 2 — Title competes with the body text (same size/weight).
   Fix: bump the title to ~1.5× and bold it so it reads first.
2. [High] Page 4 — White caption over a light photo is hard to read.
   Fix: darken the image or add a scrim; or move the caption to a solid band.

### Page-by-page
**Page 1** — [Med] Three different accent colors; pick one. [Low] "recieve" → "receive".
**Page 2** — ...

### What's working
- Consistent margins; strong cover image.

Use severities High / Med / Low. Lead with the few highest-impact items, then the per-page detail. Be specific and located (page + element), not generic ("make it pop").

Step 5: Offer to act

End by offering to implement the API-fixable items via canva-edit-design, and note which items need manual work in Canva (e.g. font-family or background changes the API can't touch — see canva-edit-design for the full CANNOT list).

Rules

  • Never edit or commit anything — this skill is strictly read-only. If you open a transaction to inspect, always cancel-editing-transaction.
  • Ground every point in something you actually observed in the thumbnail or content — no generic advice.
  • Prioritise. A ranked shortlist beats an exhaustive list the user won't read.
  • Be candid but constructive; always pair a problem with a specific fix.

Frequently asked questions

What does the Canva Design Feedback AI skill do?

Read a Canva design and return structured, actionable design feedback — visual hierarchy, copy/messaging, layout & spacing, consistency, readability, and accessibility. Read-only; makes no changes to the design. Use when the user asks to "review my design", "give me feedback on this", "critique my deck/poster/flyer", "how can I improve this design", or "what's wrong with this slide".

Why use Canva Design Feedback on TypingMind?

Because you install it once and use it with any model. Canva Design Feedback 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 Design Feedback in TypingMind?

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

Which AI models can use Canva Design Feedback?

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 Design Feedback?

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

Is the Canva Design Feedback 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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