autonomous-ai-agents

Dancer

A2A experimental branch — MERGED. The A2A-native Athenaeum work from this branch has been merged into github.com/JackReis/dancer main and tagged v0.3.0. This repo is now archived. Use the main repo for ongoing work.

Fork notice: This is Jack Reis's fork of an MIT-licensed upstream (original copyright Jeremy Longshore, 2025 — see LICENSE for the intact notice). Renamed to dancer on 2026-04-20 for a distinct namespace. Upstream content (254 plugins) retained under MIT; Jack-authored additions live in their own plugin directories with their own LICENSE. See NOTICE for attribution details. Install path: /plugin install <name>@dancer.

The upstream URL is intentionally NOT linked here — see NOTICE for the mirror-scripted form. Belt-and-suspenders protection against agents auto-resolving and re-adding upstream as a remote.

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Claude Code Plugins (upstream README)

254 production-ready Claude Code plugins for automation, development, and AI workflows.

🎯 NEW in v1.4.0: Production ADK Implementation - jeremy-adk-orchestrator brings full Google Agent Development Kit support with A2A protocol, dual memory architecture, and 8 FunctionTools!

Latest: v1.4.0 Release - ADK orchestrator plugin, 11 plugin description updates, comprehensive audit system, 254 plugins total

/plugin marketplace add jeremylongshore/claude-code-plugins
/plugin install devops-automation-pack@claude-code-plugins-plus

💖 Sponsor this project - Get early access, premium plugins, and priority support

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🚀 What's New in v1.4.0 - Production ADK Implementation

Google Agent Development Kit (ADK) Support Arrives

We've created the first production-ready ADK orchestrator plugin with full A2A protocol support, dual memory architecture (Session + Memory Bank), and complete Vertex AI Agent Engine deployment configurations.

🎯 Key Features in This Release:

1. 🤖 jeremy-adk-orchestrator - Production ADK Plugin

First production-ready plugin implementing Google's Agent Development Kit:

Core Features:

# Complete ADK agent with dual memory architecture
from google.adk.agents import LlmAgent
from google.adk.sessions import VertexAiSessionService
from google.adk.memory import VertexAiMemoryBankService

agent = LlmAgent(
    name="adk-orchestrator",
    model="models/gemini-2.0-flash-exp",
    tools=[8 FunctionTools],
    enable_parallel_tool_calls=True
)

8 FunctionTools for A2A Protocol:

• discover_agents - Agent discovery via AgentCard
• invoke_agent - Cross-agent task delegation
• manage_agent_session - Session lifecycle management
• validate_agent_card - Compliance validation
• deploy_to_vertex_engine - Deployment automation
• monitor_agent_health - Health monitoring
• create_agent_team - Multi-agent teams
• coordinate_workflow - Workflow orchestration

Deployment Ready:

• ✅ Vertex AI Agent Engine configurations
• ✅ A2A protocol AgentCard specification
• ✅ CI/CD pipeline templates
• ✅ Terraform infrastructure modules
• ✅ Production monitoring and observability

View plugin →

2. 📝 Plugin Description Clarity - 11 Plugins Updated

All jeremy-* plugins now have clear, distinguishable descriptions:

Before: Generic descriptions that didn't explain the difference between similar plugins

After: Precise descriptions showing exact capabilities:

• jeremy-adk-orchestrator: "Production ADK orchestrator for A2A protocol and multi-agent coordination"
• jeremy-genkit-pro: "Firebase Genkit expert for production-ready AI workflows with RAG"
• jeremy-vertex-validator: "Production readiness validator for Vertex AI deployments"

Impact: Users can quickly select the right tool for their needs without confusion.

3. 📚 ADK Architecture Documentation

Comprehensive ADK implementation patterns and migration guides created.