Agent skill

Agent Designer

by alirezarezvani in alirezarezvani/claude-skills

A skill your agent uses 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…

MITAuto-check passedAgent Workflows

Install Agent Designer

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill agent-designer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills agent-designer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/skills/agent-designer .claude/skills/agent-designer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-designer
GitHub stars
28k
Token cost
~1.1k tokens
SKILL.md length
377 words
Files
14 (incl. references, assets)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 4 steps: Design the architecture → Generate tool schemas → Evaluate execution logs → …
  • The user asks to design a multi-agent system
  • SKILL.md covers When to use, Pattern decision table, Workflow and References
  • Runs Python scripts from its folder; calls python3

What it does

Agent Designer is an agent skill from alirezarezvani/claude-skills. 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…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files and assets (for example `README.md`, `agent_evaluator.py` and `agent_planner.py`).

It sits in Agent Workflows, covering Multi-agent orchestration, Prompt engineering and Agent evaluation and testing. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user asks to design a multi-agent system
  • Pick an orchestration pattern (supervisor/swarm/pipeline)
  • Generate tool schemas for agents
  • Evaluate agent execution logs for cost

Example prompts

  • “design an agent architecture for research automation”
  • “generate Anthropic tool schemas from these tool descriptions”
  • “analyze these agent run logs for bottlenecks”
  • “/agent-designer”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Design the architecture
  2. Generate tool schemas
  3. Evaluate execution logs
  4. Verification loop

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Designer loads about 1.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 134 tokens; SKILL.md has 377 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~134
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 377 words, ~1,055 tokens.

Download SKILL.mdSave it as .claude/skills/agent-designer/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
agent-designer
description
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).

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

ChooseWhenWatch out for
Single agentOne bounded task, < ~5 toolsDon't add agents you don't need
SupervisorCentral decomposition, specialists report backSupervisor becomes the bottleneck
PipelineStrictly sequential stages with handoffsRigid order; slowest stage gates throughput
HierarchicalMultiple org layers, > ~8 agentsCommunication overhead per level
SwarmParallel peers, fault tolerance over predictabilityHard 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 architecture

Write a requirements JSON (copy assets/sample_system_requirements.json — keys: goal, tasks[], constraints{max_response_time, budget_per_task, concurrent_tasks}, team_size):

bash
python3 agent_planner.py requirements.json --format json -o arch

Emits arch.json with architecture_design (pattern, agents, communication links), mermaid_diagram, and implementation_roadmap. Read architecture_design.pattern and the per-agent role list; present the mermaid diagram to the user.

Show full SKILL.md (153 more words)Show less
2. Generate tool schemas

Describe each agent's tools in plain JSON (copy assets/sample_tool_descriptions.json), then:

bash
python3 tool_schema_generator.py tool_descriptions.json --validate -o tools

Emits tools.json (tool_schemas, validation_summary) plus provider-specific tools_anthropic.json / tools_openai.json. Gate: every tool must print ✓ Valid. Fix any invalid schema before proceeding — never hand an agent an unvalidated schema.

3. Evaluate execution logs

Once the system runs (or against assets/sample_execution_logs.json for a dry run):

bash
python3 agent_evaluator.py execution_logs.json --detailed -o eval

Emits eval.json with summary, agent_metrics, bottleneck_analysis, error_analysis, cost_breakdown, sla_compliance, and optimization_recommendations, plus split files (eval_errors.json, eval_recommendations.json).

4. Verification loop

The design is not done until:

  1. tool_schema_generator.py --validate reports 0 invalid schemas.
  2. agent_evaluator.py on a pilot run reports 0 critical issues (the tool prints CRITICAL: N critical issues when found). If N > 0, apply the top item in eval_recommendations.json, re-run the pilot, and re-evaluate.
  3. Compare your outputs against expected_outputs/ to confirm the schema shape you're consuming hasn't drifted.

References

  • references/agent_architecture_patterns.md — pattern trade-offs in depth
  • references/tool_design_best_practices.md — schema, idempotency, error-handling rules
  • references/evaluation_methodology.md — metric definitions the evaluator implements

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (references, assets) in engineering/skills/agent-designer of alirezarezvani/claude-skills.

  • SKILL.md
  • README.md
  • agent_evaluator.py
  • agent_planner.py
  • assets/sample_execution_logs.json
  • assets/sample_system_requirements.json
  • assets/sample_tool_descriptions.json
  • expected_outputs/sample_agent_architecture.json
  • expected_outputs/sample_evaluation_report.json
  • expected_outputs/sample_tool_schemas.json
  • references/agent_architecture_patterns.md
  • references/evaluation_methodology.md
  • references/tool_design_best_practices.md
  • tool_schema_generator.py

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Agent Designer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Designer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Designer this skillalirezarezvani/claude-skills28k—~1.1kAutomated safety check: PassMIT
Team Taskswin4r/team-tasks446—~2.9kAutomated safety check: PassNone
Agent Orchestration Improve Agentaiskillstore/marketplace4308 repos~2.6kAutomated safety check: PassNone
Benchmark Agentsvercel/vercel-plugin301—~3.6kAutomated safety check: PassCustom licence
Flow SwarmLeoYeAI/openclaw-master-skills2.2k—~5.3kAutomated safety check: PassMIT
Agent OrchestrationLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassMIT

Similar skills

  • Team Tasks

    win4r/team-tasks

    Coordinate multi-agent development pipelines using shared JSON task files.

    446 GitHub stars~2.9k tokensUpdated 8 mo ago
    Agent WorkflowsAuto-check passed
  • Agent Orchestration Improve Agent

    aiskillstore/marketplace

    Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

    430 GitHub starsUsed in 8 repos~2.6k tokens
    Agent WorkflowsAuto-check passed
  • Benchmark Agents

    vercel/vercel-plugin

    Official

    Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration.

    301 GitHub stars~3.6k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Flow Swarm

    LeoYeAI/openclaw-master-skills

    Multi-agent swarm orchestration via RuFlo + Claude Code. An agent skill from LeoYeAI/openclaw-master-skills.

    2.2k GitHub stars~5.3k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Agent Orchestration

    LeoYeAI/openclaw-master-skills

    Multi-agent orchestration patterns for production deployments.

    2.2k GitHub stars~4.4k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • A-Evolve Agent Improvement

    aiming-lab/AutoResearchClaw

    Diagnoses where an agent failed across runs and turns the findings into new skills, system prompt patches and knowledge entries, using the A-Evolve loop.

    15k GitHub stars~1.8k tokensUpdated 1 mo ago
    AI & LLM EngineeringAuto-check passed

More from alirezarezvani/claude-skills

All 342 skills in this repo
  • Agile Product Owner

    alirezarezvani/claude-skills

    Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.

    28k GitHub starsUsed in 3 repos~3.2k tokens
    Auto-check passed
  • Product Strategist

    alirezarezvani/claude-skills

    OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.

    28k GitHub starsUsed in 2 repos~1.8k tokens
    Auto-check passed
  • App Store Optimization

    alirezarezvani/claude-skills

    App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.

    28k GitHub starsUsed in 1 repo~4.2k tokens
    Auto-check passed
  • AWS Solution Architect

    alirezarezvani/claude-skills

    Design AWS architectures for startups using serverless patterns and IaC templates.

    28k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Campaign Analytics

    alirezarezvani/claude-skills

    Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.

    28k GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed
  • Code to PRD

    alirezarezvani/claude-skills

    Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.

    28k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed

Categories

Questions about Agent Designer

What does Agent Designer do?

A skill your agent uses 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…. Agent Designer is an agent skill from alirezarezvani/claude-skills. 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.

When should I use Agent Designer?

Agent Designer fits situations like: the user asks to design a multi-agent system; pick an orchestration pattern (supervisor/swarm/pipeline); generate tool schemas for agents; evaluate agent execution logs for cost.

How do I install Agent Designer in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill agent-designer -a claude-code`. Or copy the skill folder (engineering/skills/agent-designer in alirezarezvani/claude-skills) into .claude/skills/agent-designer in your project. Claude Code loads it when a task matches its description.

How do I install Agent Designer in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill agent-designer -a codex`. Or copy the skill folder (engineering/skills/agent-designer in alirezarezvani/claude-skills) into .agents/skills/agent-designer in your project. Codex loads it when a task matches its description.

Can I use Agent Designer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill agent-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-designer, .gemini/skills/agent-designer, .github/skills/agent-designer and .opencode/skills/agent-designer in your project.

What does Agent Designer need to run?

Going by SKILL.md and its folder, Agent Designer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Agent Designer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Designer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Designer use?

Agent Designer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Designer use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.

What are the alternatives to Agent Designer?

Skills that share tags, products or a category with Agent Designer: Team Tasks (win4r/team-tasks, 446 stars), Agent Orchestration Improve Agent (aiskillstore/marketplace, 430 stars), Benchmark Agents (vercel/vercel-plugin, 301 stars) and Flow Swarm (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Designer?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.