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.
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Cloud guardrails for any vendor workload — Google Cloud (GCP, Vertex AI, GKE), AWS (IAM, EKS, Bedrock), Azure (Entra ID, Policy, AKS), Alibaba Cloud (RAM, mainland/international residency). Enforces identity least-privilege, mechanical policy, data boundaries, residency, cost caps, network egress and observability, with official-source validation before any claim. Trigger on any cloud infrastructure design, review, Terraform plan, or LLM/agent deployment; the-architect routes here.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Identity, tenancy, residency and cost are the design constraints — not the console's defaults.
One procedure, four vendor references. This skill enforces the discipline that makes a cloud workload production-safe on whichever provider the team runs. It is not a vendor feature catalogue: read the vendor reference for specifics, then apply the shared procedure.
| Vendor | Reference | Identity model | Policy engine |
|---|---|---|---|
| Google Cloud | references/gcp.md | IAM + Workload Identity Federation | Organisation Policy, VPC Service Controls |
| AWS | references/aws.md | IAM roles + OIDC federation | SCPs, Config, Control Tower |
| Azure | references/azure.md | Entra ID + managed identities | Azure Policy, Management Groups |
| Alibaba Cloud | references/alibaba.md | RAM roles + STS | Resource Directory, Control Policies; mainland / international split |
the-architect records a decision that names a specific cloudOpen the vendor reference first; every step below has vendor detail there.
Every service, quota, price or model claim cites an official document from the vendor's documentation or architecture centre (URLs in each reference). Quotas, prices and model names are dated facts: stale until re-verified against the source on the day you assert them.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
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Read-only SRE checkup of any GCP project: deterministic probes of the edge, Cloud Run services, 7-day error logs, Cloud Scheduler, alert policies and uptime checks, Secret Manager and IAM, the data stores and the machine's own scheduled jobs, audited into one fixed status table (LIVE / WARNING / RED / INCONCLUSIVE) with evidence, findings by severity, what could not be checked, and a single OVERALL line delivered as one notification. Parametrised by a per-project manifest, so the same routine runs on every project. Use when the operator says "cloud checkup", "SRE check", "is everything live", "what's healthy / warning / red", "any errors this week", "audit the infra", "weekly checkup", "set up the weekly checkup", before a deploy or demo, or after an incident. Cloud Run first; App Engine and GKE differ only in the serving probes.
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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.
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Challenge vision alignment, value, cost, risk and operating ownership at material scope or release decisions.
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Decompose an epic into atomic parallelizable tasks, route each to the right skill, and keep the four delivery records straight — issues, STATUS, ROADMAP, CHANGELOG. Use as a meta-router when several skills could apply, and as the baseline for how delivery state is recorded. Trigger at the start of any multi-track epic, when the skill count exceeds ~12, or when the records have drifted from reality.
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