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.
中文简介正在准备中。当前显示原文说明。
Go / no-go gate before any deployment. Checks failure modes, rollback plan, cost, production bar, and definition of done. Trigger before releasing to any environment that carries real consequences.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
A working demo is not evidence of production readiness. Production readiness is proven through sustained operation, incident handling, cost predictability, and controlled evolution.
This skill enforces the production bar. It produces a go / no-go verdict with a signed checklist. No checklist = no go.
Validate the definition of done — confirm that acceptance criteria from the spec are met. "Looks good" is not a criterion. Run the actual validation commands.
Check all quality gates pass under the approved release ADR and profile. Require candidate/artifact-bound receipts from the declared executor; a hosted CI outage never permits silently dropping a gate. Run the release structural preflight after the artifact exists and before promotion, then independently verify its receipts. Structural PASS neither authenticates approvals nor proves test outcomes. The commands below are defaults; use the project's declared equivalents:
make lint — style and static analysis cleanmake typecheck — no type errorsmake test — unit tests greenmake e2e — end-to-end tests green (or equivalent for your stack)Name the failure modes — at minimum:
Confirm rollback exists and is tested — a rollback plan that has never been tested is not a rollback plan. If the rollback has not been exercised, flag it.
Estimate cost impact — LLM calls, storage writes, egress, third-party API calls. Any unbounded cost vector must be capped or accepted explicitly.
Confirm planned service acceptance — verify applicable receiving-owner acceptance, support and knowledge-transfer evidence from the planning prerequisites. A document existing is not proof that the receiving team can operate the service.
Confirm monitoring and alerting — what fires when this breaks? Who gets the alert? What is the on-call runbook?
Check data boundaries — does the release touch PII, regulated data, or cross a tenant boundary? If yes, confirm the appropriate controls are in place.
Sign off — record: who reviewed, what was checked, what was accepted as known risk, and the go/no-go verdict.
| Excuse | Counter |
|---|---|
| "CI is green, we're good to go" | CI checks known paths. Release readiness checks failure modes CI doesn't cover. |
| "We'll monitor it after launch" | The first failure will be invisible. Add monitoring before go-live. |
| "Rollback is just redeploy the previous version" | Untested. Run the rollback in staging first. |
| "Cost is fine, it's low traffic" | Low traffic + an LLM loop bug = runaway spend. Cap it. |
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Challenge vision alignment, value, cost, risk and operating ownership at material scope or release decisions.
中文简介正在准备中。当前显示原文说明。