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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Use when configuring or optimising GitHub repositories for cost-effective, consistent operations — CI triggers, Actions billing, issue tracking, labelling, branch protection, or release workflow.
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설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
CI validates what cannot be cheaply verified locally. It is not a remote test runner for every commit.
This skill enforces disciplined, cost-aware GitHub operations. It turns GitHub from a free-for-all into a governed delivery surface: selective automation, traceable issues, consistent labels, and protected mainlines.
This skill governs the GitHub surfaces that enforce the harness contract at the repository level. It is not general DevOps housekeeping — each procedure below maps to a harness invariant:
Use release-readiness to gate a specific deployment. Use this skill to configure and
audit the repository surfaces that make those gates trustworthy.
Resolve the approved release ADR and profile first. The following CI layout is the default recommendation; audit and configure the mode the team actually approved. Do not silently reinstate retired CI, substitute a runner during an outage, or treat local execution as equivalent without review of the required evidence.
cache: 'pnpm', cache: 'npm', pip, etc.).Closes #123 or Refs #123).Adopt a namespaced taxonomy and avoid one-off labels:
| Namespace | Examples | Purpose |
|---|---|---|
kind/ | kind/bug, kind/feature, kind/docs | Type of work |
area/ | area/ci, area/ui, area/security | Component or domain |
priority/ | priority/p0, priority/p1 | Triage urgency |
status/ | status/blocked, status/needs-review | Workflow state |
main.tag-ci mode, version tags trigger CI builds. Promotion needs its own evidence
and release-owner approval boundary, even if the same tag starts that pipeline.approved-alternative mode, follow the ADR's trigger and controlled executor.
Validate the same candidate/artifact, review, rollback and observation requirements.release-manager and its
structural contract check.| Excuse | Counter |
|---|---|
| "Run everything on every push to be safe" | Safety is selective gates, not redundant burn. Run full checks on PRs and tags. |
| "It's only a few CI minutes" | At 10× for macOS, "a few minutes" becomes hundreds of dollars per cycle. |
| "We'll clean up labels later" | Label debt compounds fast and breaks automation that depends on them. |
| "Force-push is fine, we're a small team" | Force-push on main destroys recovery options. Protect the branch. |
| "I'll build the release artifact locally" | The approved mode and evidence requirements decide whether that executor is allowed. |
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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.
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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