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.
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
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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 AgentCardinvoke_agent - Cross-agent task delegationmanage_agent_session - Session lifecycle managementvalidate_agent_card - Compliance validationdeploy_to_vertex_engine - Deployment automationmonitor_agent_health - Health monitoringcreate_agent_team - Multi-agent teamscoordinate_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.
