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Agent Designer (Multi-Agent Architecture)

Picks a multi-agent orchestration pattern from requirements, generates and validates provider-ready tool schemas, and evaluates run logs for cost, latency, and bottlenecks.

Dev & CodingAdvanced★ 28,022⑂ 3,926AI score 9/10Last updated: Aug 30, 2026

What it does

  • Architecture design: feed a requirements JSON (goal, tasks, constraints for response time, budget, concurrency) and agent_planner.py deterministically scores single-agent vs supervisor, pipeline, hierarchical, or swarm, then emits agent roles, communication links, a Mermaid diagram, and an implementation roadmap.
  • Tool schema generation: turns plain-language tool descriptions into Anthropic and OpenAI schema files, with a hard gate that every tool must report ✓ Valid before you proceed.
  • Execution log evaluation: success rate, latency distribution, bottleneck and error analysis, cost breakdown, SLA compliance, and ranked optimization recommendations.
  • Verification loop: iterate until 0 invalid schemas and 0 critical issues, comparing against expected_outputs/ for schema drift.

Who it's for

  • AI engineers building their first coordinated multi-agent system
  • Architects who want an orchestration pattern chosen by a scoring table instead of intuition
  • Teams that need hard numbers on cost and latency for an agent pipeline already in production

Examples

  1. "Design an agent architecture for research automation" → write the requirements JSON, run the planner, get a supervisor pattern with roles and a Mermaid diagram.
  2. "Generate Anthropic tool schemas from these tool descriptions" → run tool_schema_generator.py --validate and confirm every schema passes before wiring it into an agent.
  3. "Analyze last week's agent run logs for bottlenecks" → agent_evaluator.py --detailed surfaces the slowest agent, error clusters, cost split, and a recommendations file.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/alirezarezvani/claude-skills/HEAD/.gemini/skills/agent-designer/SKILL.md

What I want: (describe your task here)

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Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
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Install in Claude Code

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Install the skill I found on AI Skill Mart.
Copy the .gemini/skills/agent-designer folder from the GitHub repo alirezarezvani/claude-skills into my ~/.claude/skills/agent-designer/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/alirezarezvani/claude-skills.git && mkdir -p ~/.claude/skills && cp -r claude-skills/.gemini/skills/agent-designer ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/alirezarezvani/claude-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r claude-skills/.gemini/skills/agent-designer ~/.claude/skills/
  5. Verify Python is available: python3 --version (the three scripts require it).
  6. Run ls ~/.claude/skills/agent-designer and confirm agent_planner.py, tool_schema_generator.py, agent_evaluator.py, and the assets/ samples came along; if not, check the repo for the full skill folder.
  7. Restart Claude Code and try a prompt like "design a multi-agent architecture for ..." to trigger the skill.
View source on GitHub ↗License: MIT