Optimize AI credits with the Figma agent
Summary
Figma's AI agent charges variable credits per prompt, but strategic prompt engineering—detailed requirements upfront, scoped context, and task-specific skills—can reduce rework costs and credit consumption by up to 50%. Skills save credits through reusable context; plugins eliminate credits entirely for repeatable tasks.
Key Takeaways
- Include scope, requirements, and specific expectations in initial prompts. Example: Instead of 'Design a settings page,' write 'Design a mobile-first settings page with account, notifications, and billing sections using existing sidebar navigation.' Costs more upfront but reduces expensive rework cycles.
- Well-defined, scoped tasks (e.g., updating text across frames) cost significantly less than open-ended generative tasks (e.g., designing from scratch). Ambiguity directly correlates to credit consumption—precision is a cost optimization strategy.
- Only attach relevant context—connectors, frames, and attachments increase credit usage. Point connectors to specific documents rather than broad searches, and scope canvas selection to individual frames, not entire pages. Removing redundant context between prompts and connected files saves credits.
- Start a new chat for each task direction instead of continuing conversation history. Longer chats accumulate context and increase credit costs even for simple prompts. Multiple chats can run simultaneously, eliminating wait-time friction while reducing per-prompt costs.
- Build plugins (not skills) for repeatable, well-defined logic tasks like auditing unused variables or applying naming conventions. Plugins cost credits to build once but zero credits for all future runs; skills guide the agent but still consume credits per use.
Related topics
Transcript Excerpt
Working with the Figma agent uses AI credits and prompting well can make a real difference in how efficiently you use them. In this video, we'll walk through some best practices to help you get more out of Figma's agent. When beginning work with the agent, take a moment to state your needs as clearly as possible in your initial prompt. Include the scope, requirements, and any specific expectations you have for the agent. Including this context may cost more credits upfront, but can help reduce rework down the line. For example, instead of prompting something like, "Design a settings page," try, "Design a mobile first settings page with sections for account, notifications, and billing." And use our existing sidebar navigation pattern. Keep in mind that open-ended tasks like generating a des…