Easy Templates for Jira Cloud
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Easy Templates Rovo Agent

The Easy Templates Rovo agent helps users create issue templates directly from Rovo chat. In the current version, its practical focus is saving an existing Jira issue or a Jira structure as a template, making template creation faster and more accessible without leaving the conversation flow.

Current scope: The first released version of the Rovo agent is live and supports creating new issue templates from chat. Today, that mainly means turning an existing Jira issue or structure into a reusable template.

What this feature does

  • Create templates from chat: Users can initiate template creation through the Easy Templates Rovo agent instead of navigating the full app workflow manually.

  • Reuse existing work: A Jira issue or issue structure can serve as the basis for a template, which is useful when teams already have a well-formed example they want to standardize.

  • Speed up setup: This lowers the effort required to convert real work items into repeatable starting points for future requests, projects, or processes.

Why it is useful

  • It reduces repetitive setup for teams that regularly create similar issues.

  • It helps capture proven issue layouts and subtask structures as reusable standards.

  • It makes template creation more approachable for users who prefer natural-language workflows.

Current limitations

The current release is an early version of the Easy Templates Rovo agent. Its capabilities are still limited and centered on saving Jira issues or structures as templates.

Based on the available release notes, the Rovo agent is at its first public stage. More advanced scenarios may not yet be supported through chat.

Helpful resources

Have an idea for the Rovo agent?

If you would like the Easy Templates Rovo agent to support additional actions or smarter template workflows, submit your request to the public roadmap: http://appliger.canny.io/feature-requests-easy-templates

This is the best place to suggest improvements, vote on ideas, and help shape future Rovo agent capabilities.