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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Synthesise a status, standup, or situation-report from current work state. Trigger when a team member needs a concise summary of where things stand, what is blocked, and what is next.
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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。
Situation reports are for the person who was not in the room. Write for them.
A sitrep is not a diary of activity. It is a compressed, actionable picture of current state. Three questions: what is done, what is blocked, what is next. Anything that does not answer one of those three questions does not belong in the sitrep.
Gather the current work state — read from available sources:
docs/operating-model/PROJECT-OPERATING-PROFILE.md, docs/ROADMAP.md, or equivalent per project structure)Classify items into three buckets:
Write the sitrep — structure:
## Sitrep — <date> [<scope: sprint / incident / handoff>]
**Done**
- <item> — <one sentence on what was delivered and its evidence>
**Blocked**
- <item> — blocked on <specific dependency / owner / ETA if known>
**Next**
- <item> — <priority order, most important first>
**Risks / flags** (optional — only if material)
- <risk> — <impact if unresolved> — <owner>
Apply the compression test — for each line: if removing it changes nothing that the reader needs to act on, remove it.
Name blockers precisely — "blocked on backend" is not a blocker entry. "Blocked on API contract for /v2/orders — waiting on @owner, ETA unknown" is.
Do not editorialise progress — "made good progress" is noise. "Delivered X, which unblocks Y" is signal.
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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.
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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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