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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Govern discovery, eligibility, and submission of a plugin or skill to official directories, registries, marketplaces, and curated GitHub lists. Use when preparing or sending plugin listings, marketplace forms, directory PRs, or repository recommendations; require current policy evidence and a final human confirmation before every external submission.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Treat every public listing as an external representation of the project. Submit only an artifact that the destination's current policy accepts, and retain a receipt for every send.
SKILL.md. Do not describe a multi-skill
plugin as one skill, or split a skill bundle without an explicit portable artifact.CONTRIBUTING.md; record its URL, access requirements, licence and
validation rules, and any limits on automated or AI-assisted submissions.blocked,
not as an invitation to bypass it.ready, blocked, deferred, or human-only), exact
payload, and rollback action. Reuse the canonical repository description; minimise
personal data and never add an email without explicit permission.Do not send until all applicable checks pass:
| Temptation | Gate |
|---|---|
| “It is close enough to call the bundle one skill.” | Submit the artifact type the directory actually accepts, or create a deliberate portable export first. |
| “The README says Apache, so platform metadata does not matter.” | Directories evaluate the public repository; resolve detected-licence mismatches before broad listing. |
| “The user asked to submit, so the final click is implied.” | A final confirmation binds authority to the exact external payload. |
| “A PR is harmless discovery.” | A public PR is a durable representation of the project and must follow the contributor policy. |
| “We can automate a human-only form.” | Human-only and no-AI policies are hard stops. |
아직 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.
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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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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.
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Challenge vision alignment, value, cost, risk and operating ownership at material scope or release decisions.
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