Connect Figma and Nyckel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Figma
Choose an Action
Automatically do this!
Import to Classifier
Classify
Center Detect
Train Classifier
Enable Integrations or automations with these events of Figma and Nyckel
Enable Integrations or automations with these events of Figma and Nyckel
Actions
Create Comment
Create comment on a file.
Add Comment Reaction
Create a new comment reaction on a file comment.
Delete Comment Reaction
Deletes a specific comment reaction.
Delete Comment
Deletes a specific comment
Import to Classifier
Import data to your Nyckel classifier
Classify
Classify image or text data
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Frequently Asked Questions
To start, connect both your Figma and Nyckel accounts to viaSocket. Once connected, you can set up a workflow where an event in Figma triggers actions in Nyckel (or vice versa).
Absolutely. You can customize how Figma data is recorded in Nyckel. This includes choosing which data fields go into which fields of Nyckel, setting up custom formats, and filtering out unwanted information.
The data sync between Figma and Nyckel typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Figma and Nyckel. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Figma
Figma is a collaborative interface design tool that allows teams to create, prototype, and share designs seamlessly. It is widely used by designers and developers to work together in real-time, making the design process more efficient and effective.
Learn MoreAbout Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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