agentic-systems-design
Use when designing tool-use agents, multi-step reasoning systems, planning loops, multi-agent architectures, or agent evaluation frameworks.
npx skills add majiayu000/claude-skill-registry --skill agentic-systems-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Agentic Systems Design ## Agent Architecture Selection | Architecture | Use When | Complexity | Latency | |-------------|----------|-----------|---------| | **Single-agent ReAct** | 1-5 tools, linear reasoning | Low | Low | | **Plan-and-execute** | Multi-step tasks needing upfront planning | Medium | Medium | | **Tree-of-Thought** | Tasks with branching solutions, math/logic | Medium | High | | **LATS (Language Agent Tree Search)** | Complex search + evaluation loops | High | Very High | | **Multi-agent supervisor** | Specialized sub-tasks, delegation | High | Medium | | **Multi-agent debate** | Tasks needing verification, fact-checking | High | High | | **Multi-agent chain** | Sequential pipeline, each agent transforms output | Medium | Medium-High | **Decision rule**: Start with single-agent ReAct. Escalate to plan-and-execute if the agent frequently fails mid-task. Use multi-agent only when a single model cannot hold all required expertise in context. ## Planning Patterns ### ReAct (Reasoning + Acting) The default pattern. Model alternates between reasoning (think) and acting (tool call). ```python import anthropic client = anthropic.Anthropic() def react_agent(question: str,
- Agent Architecture Selection
- Planning Patterns
- ReAct (Reasoning + Acting)
- Plan-and-Execute
- Tree-of-Thought
- Tool Design Principles
- Schema Design
- Error Handling in Tool Results
- Multi-Agent Patterns
- Supervisor Pattern
- Debate Pattern
- Agent Evaluation
- Guardrails
- Gotchas
What does the agentic-systems-design skill do?
Use when designing tool-use agents, multi-step reasoning systems, planning loops, multi-agent architectures, or agent evaluation frameworks.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-systems-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.