By healthcare-ai-consulting-llc
Evaluate and optimize ADK 2.0 agents: eval set generation, custom metrics, user simulation, environment simulation, optimization loops.
Use this skill to simulate the external environment an ADK 2.0 agent operates in — mocked APIs, fake databases, time-controlled clocks — so evals are deterministic and don't hit real services. Triggers on: "ADK environment simulation", "mock APIs for ADK eval", "ADK fake backend", "deterministic ADK testing", "ADK sandboxed eval", "stub external services ADK", "ADK eval without network". Generates fixture stubs and a test harness wiring them in place of real tool implementations.
Use this skill to generate ADK 2.0 .evalset.json files — test cases for the `adk eval` CLI. Triggers on: "ADK eval set", "ADK evalset.json", "create test cases for ADK agent", "ADK eval file", "agent test fixtures", "adk eval test data", "evaluation dataset ADK". Generates a properly structured eval set with expected tool calls, expected outputs, and metadata ready for `adk eval`.
Use this skill to run an automated optimization loop on an ADK 2.0 agent — iteratively tune instructions, models, or tool selection against an eval set until scores plateau. Triggers on: "ADK agent optimization", "auto-tune ADK agent", "improve ADK agent score", "ADK prompt optimization", "ADK iterative optimizer", "ADK eval-driven improvement", "optimize agent automatically". Generates an optimizer loop that mutates agent config, runs eval, picks the winning variant.
Use this skill to define custom evaluation metrics for ADK 2.0 agents beyond the built-in tool-match and response-similarity scores. Triggers on: "ADK custom metric", "ADK eval metric", "score ADK agent on X", "custom evaluator ADK", "ADK rubric eval", "LLM-as-judge ADK", "eval metric Python ADK". Generates a Python evaluator class (or function) that scores eval cases on domain-specific criteria.
Use this skill to run user simulations against an ADK 2.0 agent — an LLM plays the role of a user with a goal, exercising multi-turn behavior. Triggers on: "ADK user simulation", "simulate users for ADK", "ADK red team simulator", "ADK conversation tester", "synthetic user ADK", "multi-turn eval ADK", "persona-based testing ADK". Generates a user-simulator agent paired with the system-under-test plus a harness that runs N personas and scores success.
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Claude Code plugin marketplace for Google ADK 2.0 (Agent Development Kit).
8 themed plugins · 37 skills · 8 slash commands. Covers every major ADK 2.0 surface: agent scaffolding, multi-agent graph workflows, tooling (MCP/OpenAPI/HITL), sessions with rewind, Gemini Live streaming, evaluation, deployment, observability/safety.
| Plugin | Skills | Surface |
|---|---|---|
adk-agent-builder | 5 | LlmAgent, Sequential/Loop/Parallel workflow agents, custom agents, agent config (no-code), multi-model router |
adk-multi-agent | 5 | Coordinator+subagent, A2A expose, A2A consume, graph workflows (2.0), dynamic workflows (2.0) |
adk-tools | 5 | Function tools, MCP tools, OpenAPI tools, tool-confirmation HITL, Google Search grounding |
adk-sessions-memory | 4 | Session rewind, session migrate, context cache/compress, artifacts |
adk-streaming | 4 | Gemini Live bootstrap, audio, vision, bidirectional tool streaming |
adk-evaluation | 5 | Eval sets, custom metrics, user sim, env sim, optimization loop |
adk-deployment | 5 | adk web, Cloud Run, GKE, Vertex Agent Engine, runtime config |
adk-observability-safety | 4 | Logging/callbacks, tool monitor, safety policies, auth framework |
/plugin marketplace add /Users/alexwork/Documents/ExternalHarddrive/Claude-Skill-Builder-V2-main/adk-2-toolkit
/plugin install adk-agent-builder@adk-2-toolkit
/plugin marketplace add Healthcare-AI-Consulting-LLC/adk-2-toolkit
/plugin install adk-agent-builder@adk-2-toolkit
pip install google-adk --pre # ADK 2.0 beta
# Or with extensions:
pip install "google-adk[extensions]" --pre
Python 3.10+ required.
Each plugin ships one entry-point command:
/adk-new-agent — scaffold an LlmAgent or workflow agent/adk-multi-agent — design coordinator + subagents/adk-add-tool — add a tool (function/MCP/OpenAPI) to an agent/adk-session — wire sessions, memory, rewind/adk-stream — bootstrap Gemini Live streaming/adk-eval — generate eval set + run adk eval/adk-deploy — deploy to Cloud Run / GKE / Vertex/adk-observe — wire callbacks, safety, authgoogle-adk is on the active Python path.npx claudepluginhub healthcare-ai-consulting-llc/adk-2-toolkit --plugin adk-evaluationMulti-agent orchestration in ADK 2.0: coordinator+subagent, A2A protocol, graph workflows, dynamic branching loops.
Author and integrate ADK 2.0 tools: function tools, MCP tools, OpenAPI tools, human-in-the-loop tool confirmation, Google Search grounding.
ADK 2.0 sessions and memory: rewind to checkpoints, migrate sessions, context cache/compression, artifact handling.
Gemini Live API streaming agents in ADK 2.0: bootstrap, audio, vision, bidirectional tool streaming.
Observability and safety for ADK 2.0 agents: logging callbacks, tool monitoring, safety policies, auth framework.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.