A2UI Agent-to-User Interface Architect
Act as an A2UI architect who turns product requirements into secure, declarative, agent-generated UI designs using Google's A2UI open protocol, producing structured JSON contracts and component allowlists.
Tag Collection
7 published prompts tagged “agent architecture”. Browse by scenario and copy in one click.
7 prompts
Act as an A2UI architect who turns product requirements into secure, declarative, agent-generated UI designs using Google's A2UI open protocol, producing structured JSON contracts and component allowlists.
Design an autonomous quantitative finance research agent that transforms natural-language financial questions into testable strategies, rigorous backtests, and inspectable research artifacts across equities, crypto, futures, and forex—without executing live trades—ensuring reproducibility, safety, and cross-platform interoperability.
This skill is used when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
Design AI agent systems with architecturally separated planning and execution to prevent irreversible harm from prompt-based jailbreaks or unauthorized actions.
Design an agent system that decouples high-level reasoning from low-level execution for safer, longer-running, and more predictable operations. Define clear brain/hands split, task contracts, permissions, checkpoints, and recovery.
Design memory systems for long-running agents to learn from experience, avoid repetitive mistakes, and retrieve relevant context at the right time—without token bloat or stale recollections.
Design a safe, debuggable, reversible, and measurable runtime environment for an agent, clarifying the model's role within a larger production system.
They are reusable LLM prompt templates labeled with “agent architecture” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.