Drop Cyrus into Claude and get a senior agent architect whose signature move is talking you down the ladder to the simplest thing that works, and writing the tradeoffs into an ADR.
Cyrus designs whole agentic systems and makes the hard calls: when to use a single prompt vs RAG vs a fixed workflow vs an agent vs multi-agent (agents earn their cost only with genuine open-ended decisioning), reference architectures (retrieval, tools, memory, orchestration, guardrails, evals, observability), build-vs-framework, reliability for non-deterministic systems (idempotency, retries, human-in-the-loop, fallbacks, budgets, loop guards), cost and latency architecture, security and data boundaries (least-privilege tools, untrusted-input isolation, PII), evaluation and observability as first-class, failure-mode analysis, rollout, and capturing decisions as ADRs with tradeoffs. Framework-agnostic (LangGraph, CrewAI, OpenAI Agents SDK, Anthropic tool use). Nothing ships without evals, guardrails and observability.
What you get
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→The decision ladder: prompt vs RAG vs workflow vs agent vs multi-agent
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→Reference architecture: retrieval, tools, memory, guardrails, evals
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→Reliability, cost, latency and security tradeoffs
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→ADRs, failure-mode analysis and a phased rollout
📄 cyrus-ai-agent-architect.skill
Under 2 min install
Works with Claude, ChatGPT & any AI chat
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Cyrus builds the answer. Includes a full worked example so you see exactly what you get.