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senior-cloud-architect高级云架构师

Agent Skill

senior-cloud-architect 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,049

周安装

88

GitHub Stars

103

下载量

718
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:senior-cloud-architect(高级云架构师)
来源仓库:https://github.com/borghei/claude-skills
仓库路径:skills/senior-cloud-architect
安装命令:
npx skills add https://github.com/borghei/claude-skills --skill senior-cloud-architect
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/borghei/claude-skills --skill senior-cloud-architect

简介

senior-cloud-architect 用于查找、检索和筛选相关信息,支持按关键词或任务场景匹配结果。

  • 它适用于需要快速定位数据或线索的研究型 Agent 工作流。
  • 通过 npx skills add 命令从 GitHub 仓库安装,具体参数需参照原始文档定义。
  • 使用前请评估是否需要联网权限,并确认技能是否具备外部请求能力。
  • 建议在安装后测试其在目标宿主中的响应准确性与稳定性。

SKILL.md

Senior Cloud Architect

Expert cloud architecture and infrastructure design across AWS, GCP, and Azure.

Keywords

cloud, aws, gcp, azure, terraform, infrastructure, vpc, eks, ecs, lambda, cost-optimization, disaster-recovery, multi-region, iam, security, migration


Quick Start

# Analyze infrastructure costs
python scripts/cost_analyzer.py --account production --period monthly

# Run DR validation
python scripts/dr_test.py --region us-west-2 --type failover

# Audit security posture
python scripts/security_audit.py --framework cis --output report.html

# Generate resource inventory
python scripts/inventory.py --accounts all --format csv

Tools

ScriptPurpose
scripts/cost_analyzer.pyAnalyze cloud spend by service, environment, and tag
scripts/dr_test.pyValidate disaster recovery failover procedures
scripts/security_audit.pyAudit against CIS benchmarks and compliance frameworks
scripts/inventory.pyInventory all resources across accounts and regions

Cloud Platform Comparison

ServiceAWSGCPAzure
ComputeEC2, ECS, EKSGCE, GKEVMs, AKS
ServerlessLambdaCloud FunctionsAzure Functions
StorageS3Cloud StorageBlob Storage
DatabaseRDS, DynamoDBCloud SQL, SpannerSQL DB, CosmosDB
MLSageMakerVertex AIAzure ML
CDNCloudFrontCloud CDNAzure CDN

Workflow 1: Design a Production AWS Architecture

  1. Define requirements -- Identify compute, storage, database, and networking needs. Determine RTO/RPO targets.
  2. Provision VPC with Terraform: module "vpc" {source = "terraform-aws-modules/vpc/aws" version = "~> 5.0" name = "${var.project}-${var.environment}" cidr = var.vpc_cidr azs = ["${var.region}a", "${var.region}b", "${var.region}c"] private_subnets = var.private_subnets public_subnets = var.public_subnets enable_nat_gateway = true single_nat_gateway = var.environment!= "production" enable_dns_hostnames = true tags = local.common_tags}
  3. Deploy compute -- ECS/EKS in private subnets behind an ALB in public subnets. Use at least 2 AZs for redundancy.
  4. Configure database -- RDS Multi-AZ for production, single-AZ for staging. Set backup retention to 30 days (production) or 7 days (non-production).
  5. Add caching layer -- ElastiCache (Redis) between application and database.
  6. Layer security -- WAF on CloudFront, NACLs on subnets, security groups on instances. Apply least-privilege IAM.
  7. Validate -- Run python scripts/security_audit.py --framework cis and resolve all high-severity findings.

Reference Architecture

Route 53 (DNS) -> CloudFront + WAF -> ALB
  -> ECS/EKS Cluster (AZ-a) + ECS/EKS Cluster (AZ-b)
    -> ElastiCache (Redis)
      -> RDS Multi-AZ (Primary + Standby)

Workflow 2: Optimize Cloud Costs

  1. Audit current spend -- python scripts/cost_analyzer.py --account production --period monthly
  2. Right-size instances -- Identify instances with avg CPU <10% and max CPU <30% as downsize candidates: # Pseudocode for right-sizing logic if avg_cpu < 10 and max_cpu < 30: recommendation = 'downsize' elif avg_cpu > 80: recommendation = 'upsize' else: recommendation = 'optimal'
  3. Convert steady-state workloads to Reserved Instances or Savings Plans: Type Discount Commitment Use Case On-Demand 0% None Variable workloads Reserved 30-72% 1-3 years Steady-state Savings Plans 30-72% 1-3 years Flexible compute Spot 60-90% None Fault-tolerant batch
  4. Enforce cost allocation tags -- Require Environment, Project, Owner, CostCenter on all resources. Alert on untagged resources after 24 hours.
  5. Validate -- Re-run cost analyzer and confirm savings target achieved.

Workflow 3: Plan Disaster Recovery

  1. Select DR strategy based on RTO/RPO requirements: Strategy RTO RPO Cost Backup & Restore Hours Hours $ Pilot Light Minutes Minutes $$ Warm Standby Minutes Seconds $$$ Multi-Site Active Seconds Near-zero $$$$
  2. Configure cross-region replication -- Database replication to secondary region. S3 cross-region replication for object storage.
  3. Set up Route 53 failover routing -- Health checks on primary. Automatic DNS failover to secondary.
  4. Define backup policy:

- Database: continuous replication, 35-day retention, cross-region, encrypted - Application data: daily, 90-day retention, lifecycle to IA at 30d, Glacier at 90d - Configuration: on-change via git + S3, unlimited retention

  1. Test -- python scripts/dr_test.py --region us-west-2 --type failover and confirm RTO/RPO targets met.

Workflow 4: Audit Security Posture

  1. Run audit -- python scripts/security_audit.py --framework cis --output report.html
  2. Review network segmentation -- Public subnets contain only NAT GW, ALB, bastion. Private subnets contain application tier. Data subnets contain RDS, Redis, Elasticsearch.
  3. Enforce least-privilege IAM -- Every policy scoped to specific resources and conditions: {"Effect": "Allow", "Action": ["s3:GetObject", "s3:PutObject"], "Resource": "arn:aws:s3:::my-bucket/uploads/*", "Condition": {"StringEquals": {"aws:PrincipalTag/Team": "engineering"}, "IpAddress": {"aws:SourceIp": ["10.0.0.0/8"]}}}
  4. Verify encryption -- Data encrypted at rest (KMS) and in transit (TLS 1.2+).
  5. Validate -- Re-run audit and confirm all critical and high findings resolved.

AWS Well-Architected Pillars (Decision Checklist)

  • Operational Excellence: IaC everywhere? Monitoring and alerting? Runbooks for incidents?
  • Security: Least-privilege IAM? Encryption at rest and in transit? VPC segmentation?
  • Reliability: Multi-AZ? Auto-scaling? DR tested?
  • Performance: Right-sized instances? Caching layer? CDN for static assets?
  • Cost Optimization: Reserved capacity for steady-state? Spot for batch? Unused resources cleaned?
  • Sustainability: Efficient regions? Right-sized compute? Data lifecycle policies?

Reference Materials

DocumentPath
AWS Patternsreferences/aws_patterns.md
GCP Patternsreferences/gcp_patterns.md
Multi-Cloud Strategiesreferences/multi_cloud.md
Cost Optimization Guidereferences/cost_optimization.md

Troubleshooting

ProblemCauseSolution
Cross-region latency exceeds 200msNo regional caching or CDN configuredDeploy CloudFront/Cloud CDN with edge locations closest to user base; enable regional API Gateway caches
Terraform state lock conflicts across teamsShared state backend without proper lockingUse DynamoDB (AWS) or GCS (GCP) state locking with per-team state file partitioning via workspaces
Multi-cloud DNS failover not triggeringHealth check thresholds too lenient or misconfigured endpointsSet health check interval to 10s, failure threshold to 3, and verify endpoint returns 200 on the exact path monitored
IAM permission errors after cross-account migrationTrust policies not updated for new account IDsUpdate AssumeRole trust policies with correct account principals and external IDs; validate with aws sts assume-role
Cloud costs spike unexpectedly after scaling eventAuto-scaling max limits set too high or no budget alertsSet hard max instance counts per ASG, configure billing alerts at 80%/100%/120% thresholds, and review Spot fallback behavior
VPC peering routes not propagating between cloudsRoute tables missing entries for peered CIDR rangesAdd explicit route entries in both VPCs pointing peered CIDRs to the peering connection; verify no overlapping CIDRs
DR failover test fails with data inconsistencyReplication lag between primary and secondary regionsSwitch to synchronous replication for critical databases or implement application-level consistency checks pre-failover

Success Criteria

  • 99.99% availability SLA met across all production workloads with documented uptime reports
  • Cost optimization savings above 25% compared to on-demand baseline through Reserved Instances, Savings Plans, and right-sizing
  • RTO < 15 minutes and RPO < 1 minute validated through quarterly DR failover tests
  • Zero critical CIS benchmark findings in production accounts after security audit remediation
  • Infrastructure drift < 2% measured by Terraform plan diffs on scheduled compliance scans
  • Cross-region failover completes within 60 seconds with automated Route 53 health check validation
  • 100% resource tagging compliance enforced via automated policy checks with no untagged resources older than 24 hours

Scope & Limitations

This skill covers:

  • Multi-cloud architecture design and comparison across AWS, GCP, and Azure
  • Infrastructure-as-Code with Terraform including VPC, compute, database, and networking
  • Disaster recovery planning, cross-region replication, and failover strategies
  • Cloud cost optimization, right-sizing, and reserved capacity planning

This skill does NOT cover:

  • Application-level code architecture or microservice design patterns (see senior-architect)
  • Kubernetes cluster internals, pod scheduling, or service mesh configuration (see senior-devops)
  • Security compliance frameworks beyond CIS benchmarks such as SOC 2, HIPAA, or GDPR (see ra-qm-team/ compliance skills)
  • CI/CD pipeline design, build automation, or deployment workflows (see senior-devops)

Integration Points

SkillIntegrationData Flow
senior-devopsInfrastructure provisioning feeds into CI/CD deployment pipelinesTerraform outputs (endpoints, ARNs) → deployment configs
senior-secopsSecurity audit findings inform cloud hardening decisionsCIS benchmark results → security remediation tasks
senior-architectApplication architecture requirements drive cloud resource selectionCapacity requirements → compute/storage/network sizing
aws-solution-architectAWS-specific deep dives complement multi-cloud strategyCloud platform comparison → AWS implementation details
ra-qm-team/soc2-complianceCompliance requirements shape infrastructure security controlsCompliance matrices → IAM policies, encryption configs, audit logging
senior-fullstackFullstack application stacks deploy onto cloud infrastructureApplication stack definitions → ECS/EKS task definitions, RDS configs

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.99%
按下载量换算194

OpenCode

21.98%
按下载量换算158

Antigravity

16.97%
按下载量换算122

Gemini CLI

12.96%
按下载量换算93

Cursor

7.62%
按下载量换算55

windsurf

3.24%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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