adversarial-gate
JP's signature red-team pass — "how would I break this?" Argue against your own approach before proceeding. Trigger on any…
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.
Claude Code
$ npx -y skills add jpantsjoha/ai-native-developer-experience --skill adk-expert --agent claude-code
Codex
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a codex -y
Cursor
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a cursor -y
Gemini CLI
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a gemini-cli -y
GitHub Copilot
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a github-copilot -y
OpenCode
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a opencode -y
Windsurf
$ npx skills add jpantsjoha/ai-native-developer-experience --skill adk-expert -a windsurf -y
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 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.
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:
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:
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.
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