GitHub Copilot app for Beginners: How to build custom workflows with canvases
Source
Kayla Cinnamon
Author
Kayla Cinnamon
Date
Key takeaways · AI-distilled
Canvas state is shared: when you click a button or move a card, the AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → sees the change immediately with no separate send or sync step, and it can use the same actions the canvas offers you.
Canvases are built with the /create-canvas agent skillA reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.Full definition → and a plain-English prompt; GitHub advises covering the workflow, what you should be able to do in the interface, and what the agent should be able to do.
A finished canvas is saved as an extension that can live with the project for a team or stay personal, and ready-made ones such as kanban boards and issue triage boards are shared through Awesome Copilot.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
Why it matters
GitHub Copilot's app can now generate bidirectional 'canvases' (kanban boards, dashboards, release checklists) from a plain-English prompt, letting the agent update the UI as it works instead of you hand-building screens.
