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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Architecture decisions, trade-off analysis, and ADR authoring. Trigger when a significant technical decision needs to be made, documented, and owned — not when an implementation detail needs a choice.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Keep the architecture ladder human-owned. Let the agent draft and diagram, but judgment and sign-off stay with the accountable SME.
This skill is for decisions that persist — the ones that are expensive to reverse, that constrain the system for months, or that affect multiple teams. Implementation details belong in code review. Architecture decisions belong here.
State the decision to be made — one sentence. If you cannot state it in one sentence, it is not one decision.
Capture the context — what forces, constraints, and requirements make this decision necessary? What is the status quo, and why is it insufficient?
Enumerate the options — at least two credible options. For each:
Run the Adversarial Gate on the leading option — before committing, invoke adversarial-gate on the preferred choice. A clean gate result is a prerequisite for committing to the decision.
State the decision — which option is chosen and why. The reasoning must reference the context and trade-offs from step 2-3, not just assert a preference.
Record consequences — what does this decision make easier? What does it make harder? What does it prevent?
Author the ADR — format:
---
status: draft
id: ADR-NNNN
date: <date>
deciders: [<handle>]
---
# ADR-NNNN: <short title>
## Status
draft | approved | superseded
## Context
<forces, constraints, why a decision is needed>
## Decision
<the chosen option and reasoning>
## Consequences
<what becomes easier, harder, or foreclosed>
A decision's lifecycle is visible in both the filename postfix and the status:
field: ADR/ADR-NNNN-<slug>-DRAFT.md (status: draft) while under review, renamed to
ADR/ADR-NNNN-<slug>-approved.md (status: approved) on approval.
Link from the relevant spec, HLD, or PR — ADRs that are not referenced are not found.
When a decision touches a specific cloud, invoke the matching expert skill before finalising the ADR, and record which guardrail checklist ran:
| Vendor | Skill |
|---|---|
| Google Cloud, AWS, Azure, Alibaba Cloud | cloud-expert (read the matching references/<vendor>.md) |
Multi-cloud decisions run every relevant checklist; the ADR names them. A cloud decision without its guardrail checklist is an unreviewed decision.
ADR/ADR-NNNN-<slug>-DRAFT.md → ADR/ADR-NNNN-<slug>-approved.md on approvalarchitecture/HLD-<feature>.md if the decision changes the HLD아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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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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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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Challenge vision alignment, value, cost, risk and operating ownership at material scope or release decisions.
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