/adk-expert
Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.
$ npx -y skills add jpantsjoha/ai-native-developer-experience --skill adk-expert --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/adk-expert
Context preview
The summary Claude sees to decide when to auto-load this skill.
Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.
SKILL.md
adk-expert.SKILL.mdname: adk-expert
description: "Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev."
ADK Expert
> **ADK is a mental model for agent composition, not a framework to learn. The patterns transfer to any orchestration foundation.**
This skill covers how to think about agent boundaries, orchestration topology, and tool seams using Google ADK principles. It is not a tutorial on SDK methods — the official docs at [adk.dev](https://adk.dev) own that. This skill covers the architecture of agent systems.
When to use
- Designing a multi-agent system on Google ADK
- Deciding where to draw agent boundaries
- Choosing between orchestration topologies (supervisor-worker vs peer-to-peer vs sequential)
- Reviewing an existing ADK-based system for structural problems
- Integrating MCP servers or external tools into an ADK agent graph
Procedure
1. **Verify current ADK documentation** — before writing any agent topology or referencing API surface, fetch the latest docs from [adk.dev](https://adk.dev). ADK evolves; training data lags.
2. **Define agent responsibilities first** — each agent in the system must have:
- A single, nameable responsibility
- A defined input contract (what it receives)
- A defined output contract (what it produces)
- A declared set of tools it may use (no raw DB access; use bounded tool seams)
3. **Choose the orchestration topology**:
| Topology | When to use | Trade-off | |---|---|---| | Supervisor → Worker | Audit trails required; routing logic is complex | Adds latency; supervisor is a bottleneck | | Sequential pipeline | Tasks are strictly ordered; each step feeds the next | Simple but no parallelism | | Parallel fan-out | Independent sub-tasks that merge at a synthesis step | Fast; coordination overhead at merge | | Peer-to-peer | Speed over governance; tasks are loosely coupled | Hard to audit; compliance risk |
4. **Design the tool seams** — tools are the boundary between an agent and the external world. Each tool should:
- Have a typed schema (inputs and outputs)
- Enforce the agent's permission scope (least-privilege)
- Be independently testable
- Return structured errors, not raw exceptions
5. **Plan for agent failure** — every agent in the graph must have a declared failure behaviour: retry, escalate to supervisor, return partial result, or halt. Unhandled agent failure silently corrupts downstream output.
6. **Add observability at the boundary** — log every agent invocation: agent name, input summary, output summary, latency, tool calls made. The agent graph is only debuggable if the boundary calls are visible.
7. **Run the Adversarial Gate** — before finalising the topology, invoke `adversarial-gate` on the design. Common failure modes: supervisor SPOF, context window overflow at the synthesis step, tool permission creep, silent agent loops.
Outputs
- Agent topology diagram (C4 component or sequence diagram)
- Agent responsibility matrix: agent | input | output | tools | failure behaviour
- Tool schema definitions (typed inputs/outputs)
- ADR for topology choice (via `the-architect`)
Guardrails
- **The agent graph is not self-documenting.** Name every agent, every tool, every edge. Implicit wiring creates invisible failure modes.
- **No raw database access from agents.** Agents call tools; tools call infrastructure. This boundary is the governance seam.
- **Context window is finite.** Design the graph so no single agent accumulates unbounded context. Summarise at synthesis points.
- **Verify API surface before writing code.** ADK API changes. Always ground against [adk.dev](https://adk.dev) before implementing.
Read more
name: adk-expert description: "Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev."
ADK Expert
> **ADK is a mental model for agent composition, not a framework to learn. The patterns transfer to any orchestration foundation.**
This skill covers how to think about agent boundaries, orchestration topology, and tool seams using Google ADK principles. It is not a tutorial on SDK methods — the official docs at [adk.dev](https://adk.dev) own that. This skill covers the architecture of agent systems.
When to use
- Designing a multi-agent system on Google ADK
- Deciding where to draw agent boundaries
- Choosing between orchestration topologies (supervisor-worker vs peer-to-peer vs sequential)
- Reviewing an existing ADK-based system for structural problems
- Integrating MCP servers or external tools into an ADK agent graph
Procedure
1. **Verify current ADK documentation** — before writing any agent topology or referencing API surface, fetch the latest docs from [adk.dev](https://adk.dev). ADK evolves; training data lags.
2. **Define agent responsibilities first** — each agent in the system must have:
- A single, nameable responsibility
- A defined input contract (what it receives)
- A defined output contract (what it produces)
- A declared set of tools it may use (no raw DB access; use bounded tool seams)
3. **Choose the orchestration topology**:
| Topology | When to use | Trade-off | |---|---|---| | Supervisor → Worker | Audit trails required; routing logic is complex | Adds latency; supervisor is a bottleneck | | Sequential pipeline | Tasks are strictly ordered; each step feeds the next | Simple but no parallelism | | Parallel fan-out | Independent sub-tasks that merge at a synthesis step | Fast; coordination overhead at merge | | Peer-to-peer | Speed over governance; tasks are loosely coupled | Hard to audit; compliance risk |
4. **Design the tool seams** — tools are the boundary between an agent and the external world. Each tool should:
- Have a typed schema (inputs and outputs)
- Enforce the agent's permission scope (least-privilege)
- Be independently testable
- Return structured errors, not raw exceptions
5. **Plan for agent failure** — every agent in the graph must have a declared failure behaviour: retry, escalate to supervisor, return partial result, or halt. Unhandled agent failure silently corrupts downstream output.
6. **Add observability at the boundary** — log every agent invocation: agent name, input summary, output summary, latency, tool calls made. The agent graph is only debuggable if the boundary calls are visible.
7. **Run the Adversarial Gate** — before finalising the topology, invoke `adversarial-gate` on the design. Common failure modes: supervisor SPOF, context window overflow at the synthesis step, tool permission creep, silent agent loops.
Outputs
- Agent topology diagram (C4 component or sequence diagram)
- Agent responsibility matrix: agent | input | output | tools | failure behaviour
- Tool schema definitions (typed inputs/outputs)
- ADR for topology choice (via `the-architect`)
Guardrails
- **The agent graph is not self-documenting.** Name every agent, every tool, every edge. Implicit wiring creates invisible failure modes.
- **No raw database access from agents.** Agents call tools; tools call infrastructure. This boundary is the governance seam.
- **Context window is finite.** Design the graph so no single agent accumulates unbounded context. Summarise at synthesis points.
- **Verify API surface before writing code.** ADK API changes. Always ground against [adk.dev](https://adk.dev) before implementing.
A team-project AI harness bootstrap that gives humans and agents a shared operating contract from day one, moving AI leverage from an individual “IC superhero” advantage to a repeatable team capability on an equal playing field.
Other skills on join-the-team.
- /adversarial-gate
JP's signature red-team pass — "how would I break this?" Argue against your own approach before proceeding. Trigger on any high-stakes decision, architecture choice, or before marking work complete.
Open skill - /alibaba-expert
Alibaba Cloud expert guardrails — RAM least-privilege, data boundaries, residency (mainland/international split), cost, and official-source validation. Trigger when designing or reviewing any Alibaba Cloud workload, especially agents or LLMs (Model Studio/Bailian, Qwen,
Open skill - /aws-expert
AWS expert guardrails — IAM least-privilege, data boundaries, cost controls, residency, and official-source validation. Trigger when designing or reviewing any AWS workload, especially agents, LLMs (Bedrock), or multi-account systems.
Open skill - /azure-expert
Azure expert guardrails — Entra ID least-privilege, policy-first governance, data boundaries, cost, residency, and official-source validation. Trigger when designing or reviewing any Azure workload, especially agents, LLMs (Foundry/OpenAI), or landing-zone systems.
Open skill - /cost-guardrail
LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices. Trigger before finalising any architecture that calls LLMs, before scaling a workload, or when a cost estimate is needed.
Open skill - /delivery-orchestrator
Decompose an epic into atomic parallelizable tasks and route each task to the right skill. Use this as a meta-router when you have more than one skill available and need to decide which applies. Trigger at the start of any multi-track epic or when the skill count in your harness
Open skill

