By ag2ai
Agent-based guide for AG2 architecture decisions: when to use which patterns, agent design principles, and multi-agent best practices
AG2 architecture advisor that helps choose the right agent patterns, orchestration strategies, and design approaches for multi-agent systems. Consult before building to get the design right.
Helps craft effective system prompts for AG2 agents. Analyzes the agent's role, tools, and orchestration context to produce high-quality system messages that maximize agent reliability.
A Claude Code plugin marketplace for building AG2 (AutoGen) based agents, multi-agent workflows, and A2A services.
# In Claude Code
/plugin marketplace add ag2ai/ag2-claude-plugins
Or for local development:
/plugin marketplace add /path/to/ag2-claude-plugins
Then install individual plugins from the Discover tab:
/plugin
Scaffold new AG2 agents with proper structure, tool functions, and A2A server wiring.
| Skill | Description |
|---|---|
/new-agent | Create a ConversableAgent with tools, system prompt, and LLM config |
/new-a2a-agent | Create a full A2A-compliant agent with server wiring and CardSettings |
Multi-agent orchestration patterns for common use cases.
| Skill | Description |
|---|---|
/ag2-chat-fundamentals | Learn AG2 chat fundamentals and ConversableAgent basics |
/two-agent-chat | Set up a two-agent conversation pattern |
/sequential-chat | Create a sequential multi-agent pipeline |
/group-chat | Set up a multi-agent group chat with configurable speaker selection |
/group-chat-auto-pattern | Group chat with automatic speaker selection pattern |
/nested-chat | Create nested chat workflows (hub-and-spoke) |
Create well-structured tool functions with proper contracts.
| Skill | Description |
|---|---|
/new-tool | Generate a tool function with type annotations, docstrings, and JSON contracts |
/connector-tool | Build API connector tools with auth handling, pagination, and error mapping |
Review AG2 agent code for common issues.
| Agent | Description |
|---|---|
ag2-reviewer | Analyzes agent code for tool contract violations, prompt quality, security, and best practices |
Architecture advisors for AG2 agent systems.
| Agent | Description |
|---|---|
ag2-architect | Recommends orchestration patterns (group chat, pipeline, handoffs, etc.) based on your use case |
ag2-prompt-engineer | Crafts and reviews system prompts for maximum agent reliability |
| Need | Pattern | Plugin |
|---|---|---|
| Single agent with API access | Tool-augmented agent | ag2-agent-scaffold |
| Draft + review cycle | Two-agent chat | ag2-workflow-patterns |
| Step-by-step processing | Sequential pipeline | ag2-workflow-patterns |
| Collaborative problem solving | Group chat | ag2-workflow-patterns |
| Expert consultation | Nested chats (hub-and-spoke) | ag2-workflow-patterns |
| Context-dependent routing | Group chat (DefaultPattern with handoffs) | ag2-workflow-patterns |
| Deployable A2A service | A2A agent server | ag2-agent-scaffold |
plugins//plugin marketplace add ./ag2-claude-pluginsplugins/<plugin-name>/.claude-plugin/plugin.json with name, version, descriptionskills/<name>/SKILL.md) or agents (agents/<name>.md).claude-plugin/marketplace.json/plugin marketplace add . and verify your skills/agents appearApache-2.0
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub ag2ai/ag2-claude-plugins --plugin ag2-agent-guideCreate well-structured tool functions for AG2 agents with proper error handling and JSON contracts
Scaffold new AG2 agents with proper structure, tool functions, and A2A server wiring
Review AG2 agent code for common issues: prompt quality, tool contracts, error handling, and security
Multi-agent orchestration patterns for AG2: group chat, sequential, round-robin, and custom workflows
Official Agno AI agent framework skill - build production-ready agents, multi-agent teams, workflows, MCP integrations, and deploy with AgentOS.
A single-skill package for generating harness blueprints for agentic systems.
Hephaestus meta-agent team for creating Agentlas agents and teams, packaging existing agents, and opening the local ontology GUI.
Design multi-agent systems, handoffs between AI agents, and human-in-the-loop workflows.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.