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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Force plan, HLD, ADRs, and constraints to exist BEFORE any code is generated. Trigger when starting a new feature, epic, or significant change.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Review the spec harder than the code. The cheapest place to be wrong is the spec.
The harness runs in this order: spec → plan → tasks → code. Skipping the spec is not faster — it is a deferred rewrite.
docs/VISION.md or equivalent per project structure). If not, create or update it before proceeding.ADR-NNN).Use adoption and evidence guidance when requirements come from conversations or when operational ownership is unclear. A discussion remains a proposal until its accountable owner accepts it within scope.
requirements/FEATURE_SPEC.md (or equivalent per project structure)architecture/decisions/ADR-NNN-<short-title>.md (one per decision)architecture/HLD-<feature>.md (if not already covered)docs/ROADMAP.md or equivalent per project structure) with new tasks or milestones| Excuse the agent makes | Counter |
|---|---|
| "I have enough context to start coding" | No spec = no acceptance criteria = no way to know if the output is correct. Write the spec. |
| "The spec will slow us down" | A missing spec causes rewrites. Rewrites cost more than specs. |
| "The requirements are obvious" | Obvious requirements are the ones most often wrong. Write them down and verify. |
| "We can spec it after the prototype" | Prototypes become production. Spec it now. |
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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.
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.
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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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