Agent Skill · Canva

canva-bulk-create

Bulk-create Canva designs from tabular data using a brand template with autofill fields, producing one design per row. Use when users say "bulk create designs from this CSV", "generate one design per row", "create a design for each product", "batch generate from a template", or "autofill a template from a spreadsheet". Accepts any tabular data source — uploaded files, pasted tables, JSON, or URLs.

Provider: Canva Path in repo: bulk-create/SKILL.md

Skill body

Canva Bulk Design Creation

Create one Canva design per row of data by autofilling a brand template with data tags.

Workflow

Step 1: Get the Data

Accept data in any form the user provides and extract a list of rows with named columns:

If no data has been provided, ask the user to share it in whatever format is convenient for them.

Once parsed, show the user:

Step 2: Select the Brand Template

If the user hasn’t specified a template, search for autofill-capable ones:

Canva:search-brand-templates  dataset=non_empty

Show the results and ask the user to pick one. If they already named or described a template, search with that query.

Step 3: Inspect the Template Schema

Canva:get-brand-template-dataset  template_id=<selected_id>

This returns the field names and types (text, image, chart) that the template expects.

Step 4: Map CSV Columns to Template Fields

Present a mapping table to the user:

Template Field Type Matched CSV Column Notes
product_name text Product Name auto-matched
price text Price auto-matched
hero_image image (none) no match — image fields need asset IDs

Matching rules:

Confirm the mapping with the user before proceeding, especially if there are unmapped fields or ambiguous matches.

Image Field Handling

There are two ways a CSV can supply images for image-type template fields:

Pattern A — CSV has a Canva asset ID column (e.g. image_asset_id): Use the asset ID value directly in the autofill-design call:

{ "image": { "type": "image", "asset_id": "<value from CSV column>" } }

Pattern B — CSV has an image URL column (e.g. image_url): URLs cannot be passed directly to autofill-design. Upload each URL to Canva first using Canva:upload-asset-from-url, capture the returned asset ID, then use it in the autofill call. Do the upload immediately before creating that row’s design so failures stay localised.

Pattern C — No image column in CSV: Ask the user whether to skip the image field (template default image stays) or abort. Skipping is safe — just omit the image key from the data payload entirely.

Step 5: Bulk Create — One Design per Row

Loop through every CSV row and call Canva:autofill-design for each one. Call them sequentially, not all at once — the API may have rate limits and sequential calls are easier to debug.

For each row:

  1. If the row has an image URL column (Pattern B), first call Canva:upload-asset-from-url to get a Canva asset ID.
  2. Build the data payload from the confirmed field mapping:
{
  "text_field_name": { "type": "text", "text": "<value from CSV>" },
  "image_field_name": { "type": "image", "asset_id": "<asset ID>" }
}
  1. Call Canva:autofill-design with the template ID, data payload, and a descriptive title using the row number or a meaningful column value (e.g. "Bulk Design - Row 3 - <identifier>").

Track results as you go:

Row 1 / 50: Created — <design_url>
Row 2 / 50: Created — <design_url>
Row 3 / 50: Failed — <error>

Step 6: Report Results

After all rows are processed, summarise:

Offer to save a summary CSV with columns: row, status, design_url, error.

Notes