Agents Build
aws/agent-toolkit-for-aws
A skill your agent uses to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal.
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation.
Install Agent Designer
$ npx skills add borghei/Claude-Skills --skill agent-designer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills agent-designer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/agent-designer .claude/skills/agent-designer && rm -rf skills-srcUse ~/.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/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .claude/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill agent-designer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills agent-designer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/agent-designer .agents/skills/agent-designer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .agents/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill agent-designer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills agent-designer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/agent-designer .cursor/skills/agent-designer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .cursor/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path engineering/agent-designer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill agent-designer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills agent-designer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/agent-designer .gemini/skills/agent-designer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .gemini/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills agent-designerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill agent-designer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/agent-designer .github/skills/agent-designer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .github/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill agent-designer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills agent-designer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/agent-designer .opencode/skills/agent-designer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-designer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/agent-designer into .opencode/skills/agent-designer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-designer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agent-designer- GitHub stars
- 881
- Token cost
- ~1.7k tokens
- SKILL.md length
- 667 words
- Files
- 16 (incl. references, assets)
- Skills in repo
- 349
- Repo updated
- First seen
- Licence
- MIT
At a glance
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation.
- Building AI agent systems
- SKILL.md covers Core Capabilities, When to Use, Clarify First and Tools, plus 3 more sections
- Runs Python scripts from its folder; calls python
- Designing agent workflows
What it does
Agent Designer is an agent skill from borghei/Claude-Skills. Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 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 and Building AI agents. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Building AI agent systems
- Designing agent workflows
- Creating tool schemas
- Evaluating agent performance
Example prompts
- “Use the agent-designer skill to design multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation”
- “/agent-designer”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4a698e8. 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:
python
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 1.7k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 667 words of instructions outside code blocks.
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 borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 667 words, ~1,724 tokens.
Download SKILL.mdSave it as
.claude/skills/agent-designer/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- agent-designer
- description
- Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
- license
- MIT + Commons Clause
- metadata.version
- 1.1.0
- metadata.author
- borghei
- metadata.category
- engineering
- metadata.domain
- ai-agents
- metadata.tier
- POWERFUL
- metadata.updated
- 2026-06-17
Agent Designer - Multi-Agent System Architecture
A toolkit for designing, architecting, and evaluating multi-agent systems. It provides structured approaches to agent architecture patterns, tool design principles, communication strategies, and performance evaluation frameworks for building robust, scalable AI agent systems.
Core Capabilities
- Architecture pattern selection — single agent, supervisor, swarm, hierarchical, and pipeline patterns with use-case fit and trade-offs.
- Agent role definition — identity, responsibilities, capabilities, interfaces, and constraints; common archetypes (coordinator, specialist, interface, monitor).
- Tool design — schema design, error handling, idempotency requirements, and validation rules.
- Communication & orchestration — message passing, shared state, event-driven architecture; centralized, decentralized, and hybrid orchestration.
- Guardrails & safety — input validation, output filtering, and human-in-the-loop checkpoints.
- Evaluation frameworks — task completion, quality, cost, and latency metrics with bottleneck analysis.
- Memory, scaling & failure handling — short/long/shared memory, horizontal/vertical scaling, retries, fallbacks, and circuit breakers.
When to Use
- Building AI agent systems or designing multi-agent workflows.
- Creating tool schemas for OpenAI function calling or Anthropic tool use.
- Selecting an architecture pattern for a new system.
- Evaluating agent performance from execution logs.
Clarify First
Before designing the system, confirm these inputs. If any is unknown or vague, ASK — do not assume:
- System goal & scale — the task the agents perform and expected load (drives which architecture pattern: single, supervisor, swarm, hierarchical, or pipeline)
- Tool protocol target — OpenAI function calling vs Anthropic tool use (sets the schema format
tool_schema_generator.pyemits) - Optimization priority — cost, latency, or quality (determines agent roles, model tiers, and which metrics the evaluator weights)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Tools
| Tool | Purpose | Command |
|---|---|---|
agent_planner.py | Design architecture from requirements (pattern, roles, topology, Mermaid diagram, roadmap) | python agent_planner.py requirements.json -o my_system --format both |
agent_evaluator.py | Evaluate performance from execution logs (success, cost, latency, bottlenecks) | python agent_evaluator.py execution_logs.json -o perf_report --format both --detailed |
tool_schema_generator.py | Generate OpenAI/Anthropic tool schemas with validation | python tool_schema_generator.py tools.json -o my_tools --format both --validate |
References
Load the reference that matches the task — keep this file lean and pull detail on demand:
- references/core-capabilities.md — the full Core Capabilities catalog (architecture patterns, role definition, tool design, communication, guardrails, evaluation, orchestration, memory, scaling, failure handling) plus Implementation Guidelines. Read when designing any part of a system.
- references/agent_architecture_patterns.md — deep catalog of architecture patterns with structure diagrams, characteristics, use cases, and implementation considerations. Read when selecting or comparing patterns.
- references/tool_design_best_practices.md — best practices for designing tools in multi-agent systems (single responsibility, idempotency, composability, schemas, error handling). Read when designing tools or schemas.
- references/evaluation_methodology.md — full evaluation methodology across performance, reliability, cost, and satisfaction dimensions. Read when planning evaluation or interpreting reports.
- references/troubleshooting-and-tool-reference.md — troubleshooting table, success criteria, and the complete CLI parameter reference for all three scripts. Read when a tool misbehaves or you need full command options.
Show full SKILL.md (210 more words)Show less
Scope & Limitations
Covers:
- Multi-agent architecture pattern selection (single agent, supervisor, swarm, hierarchical, pipeline)
- Agent role definition with responsibilities, capabilities, tools, and communication interfaces
- Tool schema generation in OpenAI and Anthropic formats with validation rules and error handling
- Performance evaluation from execution logs including bottleneck analysis and optimization recommendations
Does NOT cover:
- Runtime agent orchestration or execution engines (see
engineering/agent-workflow-designerfor workflow execution) - LLM prompt engineering or system prompt design (see
engineering/prompt-engineer-toolkit) - MCP server implementation or protocol details (see
engineering/mcp-server-builder) - Self-improving agent feedback loops or autonomous learning (see
engineering/self-improving-agent)
Integration Points
| Skill | Integration | Data Flow |
|---|---|---|
engineering/agent-workflow-designer | Workflow definitions consume architecture designs from Agent Designer | Agent roles and communication topology feed into workflow step definitions |
engineering/prompt-engineer-toolkit | System prompts are crafted per agent role defined by Agent Designer | Agent role specifications and responsibilities inform prompt structure and constraints |
engineering/mcp-server-builder | Tool schemas generated here map to MCP server tool implementations | tool_schema_generator.py output provides the schema contract that MCP servers implement |
engineering/self-improving-agent | Evaluation reports feed into self-improvement loops | agent_evaluator.py bottleneck analysis drives autonomous optimization decisions |
engineering/observability-designer | Monitoring architecture aligns with agent topology and communication links | Agent definitions and communication patterns define what to instrument and alert on |
engineering/agent-protocol | Protocol standards govern inter-agent message formats designed here | Communication topology patterns must comply with agent protocol specifications |
© borghei, 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 15 other files (references, assets) in engineering/agent-designer of borghei/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/core-capabilities.md
- references/evaluation_methodology.md
- references/tool_design_best_practices.md
- references/troubleshooting-and-tool-reference.md
- tool_schema_generator.py
Open the folder on GitHubat commit 4a698e8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Designer this skillborghei/Claude-Skills | 881 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Agents Buildaws/agent-toolkit-for-aws | 2.8k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Omnigent Agent Builderomnigent-ai/omnigent | 11k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Feishu Multi Agenthyperlist/feishu-multi-agent | 273 | — | ~419 | Automated safety check: Pass | None | |
| Swarmclawswarmclawai/swarmclaw | 688 | — | ~4.2k | Automated safety check: Pass | MIT | |
| AI Agent Developmentaiskillstore/marketplace | 430 | 4 repos | ~1k | Automated safety check: Pass | None |
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Categories
Questions about Agent Designer
What does Agent Designer do?
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Agent Designer is an agent skill from borghei/Claude-Skills. Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation.
When should I use Agent Designer?
Agent Designer fits situations like: building AI agent systems; designing agent workflows; creating tool schemas; evaluating agent performance.
How do I install Agent Designer in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill agent-designer -a claude-code`. Or copy the skill folder (engineering/agent-designer in borghei/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 borghei/Claude-Skills --skill agent-designer -a codex`. Or copy the skill folder (engineering/agent-designer in borghei/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 borghei/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 (python). 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 (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agent Designer use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 16k 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: Agents Build (aws/agent-toolkit-for-aws, 2.8k stars), Omnigent Agent Builder (omnigent-ai/omnigent, 11k stars), Feishu Multi Agent (hyperlist/feishu-multi-agent, 273 stars) and Swarmclaw (swarmclawai/swarmclaw, 688 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Designer?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/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.