cloud-expert
Cloud guardrails for any vendor workload — Google Cloud (GCP, Vertex AI, GKE), AWS (IAM, EKS, Bedrock), Azure (Entra ID, Policy, AKS), Alibaba Cloud (RAM…
Skill by jpantsjoha
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jpantsjoha-cloud-expert
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, devops, cloud, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cloud-expert
What's inside
- Skill name
cloud-expert- Description
- 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.
- License
- Apache-2.0
- Instructions
- 73 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- alibaba.md · references/
- aws.md · references/
- azure.md · references/
- gcp.md · references/
SKILL.md (first lines)
# Cloud Expert > **Identity, tenancy, residency and cost are the design constraints — not the console's defaults.** One procedure, four vendor references. This skill enforces the discipline that makes a cloud workload production-safe on whichever provider the team runs. It is not a vendor feature catalogue: read the vendor reference for specifics, then apply the shared procedure. | Vendor | Reference | Identity model | Policy engine | |---|---|---|---| | Google Cloud | [`references/gcp.md`](./references/gcp.md) | IAM + Workload Identity Federation | Organisation Policy, VPC Service Controls | | AWS | [`references/aws.md`](./references/aws.md) | IAM roles + OIDC federation | SCPs, Config, Control Tower | | Azure | [`references/azure.md`](./references/azure.md) | Entra ID + managed identities | Azure Policy, Management Groups | | Alibaba Cloud | [`references/alibaba.md`](./references/alibaba.md) | RAM roles + STS | Resource Directory, Control Policies; mainland / international split | ## When to use - Designing any cloud infrastructure, new or modified - Before deploying agents or LLM workloads to a cloud provider - Reviewing a Terraform plan or an architecture diagram for a cloud workload - When a system touches multiple tenants, regulated data, or crosses a regional boundary - When `the-architect` records a decision that names a specific cloud ## Procedure Open the vendor reference first; every step below has vendor detail there. 1. **Identity and access** — least privilege for every workload identity and human role: no broad administrative roles on service identities; federated identities over long-lived keys; conditional, time-bound access where the platform supports it. 2. **Governance made mechanical** — region, resource-type and service constraints enforced by the platform's policy engine, not by convention; resource hierarchy mirrors environment and data classification; audit logging on identity changes and data-plane operations before any data lands. 3. **Data boundaries** — for every store: classification (public / internal / confidential / regulated), encryption at rest with customer-managed keys where required, tenant separation enforced at the data layer, and an explicit agreement wherever data crosses an account, project, subscription or organisation boundary. 4. **Residency** — every resource pinned to the required geography; policy prevents accidental multi-region or global creation; model endpoints regional where residency matters. 5. **Cost controls** — budget alerts at 50 / 75 / 90 / 100 %; autoscaling upper bounds set; LLM call volumes capped or rate-limited; commitments or spot capacity evaluated. 6. **Network and egress** — private connectivity where public endpoints are avoidable; egress estimated for cross-region and internet-bound traffic; default-deny with explicit allows. 7. **Observability** — dashboards, alerting on error rate, latency and cost, and log routing to a central retention point, all before go-live. 8. **Run the Adversarial Gate** — name the vendor's common failure modes (listed in each reference) and confirm each has a mitigation or a named risk owner. ## Official sources — validate before you assert Every service, quota, price or model claim cites an official document from the vendor's documentation or architecture centre (URLs in each reference). Quotas, prices and model names are dated facts: stale until re-verified against the source on the day you assert them. ## Outputs - Guardrail checklist (pass / fail per item), per vendor - Identity matrix: principal | role | scope | justification - Data classification and boundary map; residency confirmation - Budget alert and autoscaling-bound confirmation - Open findings for human review ## Guardrails - **No administrative roles on workload identities.** Ever. - **Residency is a constraint, not a preference.** Enforce it with policy, not convention. - **Budget alerts are not optional.** An unmonitored LLM workload produces a surprise invoice. - **Audit logs are evidence.** Enable them before go-live, not after an incident. - **One vendor reference per decision.** Do not let a multi-cloud design inherit the weakest provider's defaults; run the procedure per vendor.
From jpantsjoha/ai-native-developer-experience, Apache-2.0.
More from jpantsjoha/ai-native-developer-experience
- 0.641score
using-the-harness
jpantsjoha
Session-start orientation for this team harness.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
operating-model-bootstrap
jpantsjoha
Bootstrap or harden a project's operating model for mixed human and AI delivery teams.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
pr-reviewer
jpantsjoha
Review gate for correctness, reuse, and simplification.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
cloud-checkup
jpantsjoha
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…
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
system-performance-guardrail
jpantsjoha
Measure, root-cause, fix, verify and record performance contention on a developer machine: cloud-sync daemons (iCloud Drive, OneDrive, Dropbox, Google Drive)…
SkillAFreshness: A★ 13Claude Code +9 - 0.638score
cost-guardrail
jpantsjoha
LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices.
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
frontend-performance-audit
jpantsjoha
Measure real frontend performance — Core Web Vitals (LCP, CLS, INP), page-load traces, CPU and network throttling, Lighthouse accessibility/SEO scores, and…
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
get-it-done
jpantsjoha
Pursue an agreed goal to a working outcome without waiting: decompose it, re-prioritise as evidence arrives, branch, gate, get an independent review (a…
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
github-manager
jpantsjoha
Use when configuring or optimising GitHub repositories for cost-effective, consistent operations — CI triggers, Actions billing, issue tracking, labelling…
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
mcp-server-scaffold
jpantsjoha
Scaffold and govern an MCP server as a bounded tool seam.
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
spec-first-delivery
jpantsjoha
Force plan, HLD, ADRs, and constraints to exist BEFORE any code is generated.
SkillAFreshness: A★ 13Claude Code +9 - 0.636score
sitrep
jpantsjoha
Synthesise a status, standup, or situation-report from current work state.
SkillAFreshness: A★ 13Claude Code +9
Compare and alternatives
Featured in
Signals
- Stars
- 13
- Forks
- 4
- Open issues
- 2
- Last commit (this folder)
- Sep 14, 2026 (1 month ago)
- Last release
- Oct 16, 2026 (11 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Website
- jpantsjoha.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from jpantsjoha
- 0.641score
using-the-harness
jpantsjoha
Session-start orientation for this team harness.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
system-performance-guardrail
jpantsjoha
Measure, root-cause, fix, verify and record performance contention on a developer machine: cloud-sync daemons (iCloud Drive, OneDrive, Dropbox, Google Drive)…
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
pr-reviewer
jpantsjoha
Review gate for correctness, reuse, and simplification.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
operating-model-bootstrap
jpantsjoha
Bootstrap or harden a project's operating model for mixed human and AI delivery teams.
SkillAFreshness: A★ 13Claude Code +9 - 0.641score
cloud-checkup
jpantsjoha
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…
SkillAFreshness: A★ 13Claude Code +9 - 0.638score
cost-guardrail
jpantsjoha
LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices.
SkillAFreshness: A★ 13Claude Code +9
Cite this page
cloud-expert skill. Agent Mart. https://agentmart.dev/skills/jpantsjoha-cloud-expert (last updated 2026-10-24)