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Canva Cli

Organization
canva-sdks
canva-cli

Use the Canva CLI (`canva api`) for Canva REST API workflows with local files, scripts, and coding agents. Use when the request needs direct, programmatic work with Canva designs, folders, assets, exports, or other REST API resources.

Overview

Publishercanva-sdks
Repositorycanva-skills
Skill namecanva-cli
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 Cli 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/cli
  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/cli .claude/skills/canva-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canva Cli 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 Cli 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 Cli 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.

Canva CLI

Use the Canva CLI when a request requires direct, programmatic interaction with Canva or local files. Do not use it for purely conversational design work that is better handled through Canva's AI-assisted workflows.

Set up the CLI when needed

Before using the CLI, check whether canva --version succeeds.

If the CLI is unavailable, explain that it requires Node.js v24 and npm v11. Install it only when the user has explicitly requested or approved installation:

sh
npm install -g @canva/cli@latest

Before accessing Canva resources, ensure the intended user is logged in:

sh
canva login

Login opens a browser authorization flow and requires the user to approve access. In a remote or headless environment, use canva login --mode manual. Do not request, print, inspect, or copy the locally stored auth token. When multiple Canva accounts are relevant, require the user to identify the intended profile before running commands against it. Use --profile for a one-off command rather than changing the active profile unless the user asks to switch it.

Find the right operation

Do not guess commands, flags, or request shapes.

  • Start with canva api --help, then narrow by resource group.
  • Use canva api <group> <command> --help to inspect flags.
  • Use canva api describe <group> <command> when the command contract is needed as JSON.
  • CLI commands follow REST API operation names, not URL paths.
  • Prefer documented flags. Use --body @file.json only when a nested JSON payload cannot be expressed with flags.

Authenticate and validate

  • Commands act as the logged-in Canva account. Run canva login when needed.
  • If a request returns MISSING_SCOPE, log in again before retrying.
  • Before a command that creates, changes, or uploads content, run it with --dry-run when available to validate its arguments and login without making the API request.
  • Ensure the target design, folder, asset, or other resource is unambiguous before making a state-changing request.

Interpret results

When a request reaches the API, the CLI returns one JSON object on standard output.

  • Check ok before treating a request as successful.
  • On success, use data for the API response.
  • On failure, report error.code, error.message, and relevant meta.status; do not invent a recovery.
  • Consider next as a possible follow-up, such as logging in, but verify the suggested command is appropriate before running it.
  • If invalid arguments or unknown flags produce a usage error, consult --help rather than retrying with guessed flags.

Handle asynchronous operations

Some operations, including asset uploads, return a job instead of a completed resource.

  • Save the returned job ID.
  • Poll the corresponding “Get job” command after a short delay.
  • While the status is in_progress, use exponential backoff between polls: increase the wait after each unsuccessful poll, respect the endpoint’s rate limits, and never issue concurrent or tight-loop polls.
  • Stop polling immediately when the job becomes success or failed.
  • On success, return the resulting resource ID and useful links.
  • On failure, return the job error and stop; do not retry the original request unless the user asks.
  • If the job remains in progress beyond the available task time, report its job ID and latest status so it can be checked again later.

Report back

Summarize the action, exact target, result, and useful IDs or Canva URLs. Never include credentials, access tokens, or unnecessary raw response data.

Reference

Frequently asked questions

What does the Canva Cli AI skill do?

Use the Canva CLI (`canva api`) for Canva REST API workflows with local files, scripts, and coding agents. Use when the request needs direct, programmatic work with Canva designs, folders, assets, exports, or other REST API resources.

Why use Canva Cli on TypingMind?

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

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

Which AI models can use Canva Cli?

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 Cli?

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

Is the Canva Cli 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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