← ClaudeAtlas

agent-designerlisted

Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
sinhoneyy/master-skills · ★ 4 · AI & Automation · score 67
Install: claude install-skill sinhoneyy/master-skills
# Agent Designer — Multi-Agent System Architecture Design, schema-generate, and evaluate multi-agent systems with three deterministic tools. The scripts are the workflow — do not freehand an architecture when the planner can score one from requirements. ## When to use - Designing a new multi-agent system from requirements (pattern choice, roles, comms) - Generating provider-ready tool schemas (Anthropic + OpenAI formats) from plain tool descriptions - Evaluating execution logs: success rate, latency distribution, cost, bottlenecks **When NOT to use:** Claude Code Workflow-tool automations → `workflow-builder`; single-agent workflow scaffolds → `agent-workflow-designer`; multi-agent fan-out at runtime → `agenthub`. ## Pattern decision table | Choose | When | Watch out for | |---|---|---| | Single agent | One bounded task, < ~5 tools | Don't add agents you don't need | | Supervisor | Central decomposition, specialists report back | Supervisor becomes the bottleneck | | Pipeline | Strictly sequential stages with handoffs | Rigid order; slowest stage gates throughput | | Hierarchical | Multiple org layers, > ~8 agents | Communication overhead per level | | Swarm | Parallel peers, fault tolerance over predictability | Hard to debug; needs consensus rules | The planner applies this scoring deterministically — run it rather than picking by feel. ## Workflow All paths relative to this skill folder. Each step's JSON output is the next step's design input. ### 1. Design the a