generating Architecture Decision Records (ADRs) in MADR or Nygard format from decision context and constraints,
deploying compute workloads — Lambda serverless functions, ECS Fargate containers, EC2 virtual machines,
AWS AI services — Bedrock (Claude, Llama, Titan), SageMaker, Rekognition, Comprehend, Transcribe.
AWS compute skill. Use when: (1) deploying serverless functions with Lambda — event-driven, pay-per-invocation,
setting up a cloud contact centre — instance creation, phone numbers, hours of operation,
AWS managed databases — RDS (PostgreSQL/MySQL), DynamoDB, Aurora, ElastiCache (Redis).
AWS messaging — SQS queues, SNS topics, EventBridge event bus, Kinesis data streams.
AWS networking — VPC design, Route 53, CloudFront CDN, ALB/NLB load balancers, VPC endpoints.
AWS security skill. Use when: (1) designing IAM policies — least-privilege roles, resource-based policies,
AWS storage — S3 object storage, EBS block storage, EFS file system, Glacier archival.
network infrastructure — IOS/IOS-XE/NX-OS switches and routers, VLANs, spanning tree, routing protocols (OSPF, EIGRP, BGP),
Cisco network automation — Netmiko/NAPALM Python, Ansible, DNA Center REST API, NSO, YANG/NETCONF/RESTCONF.
Cisco collaboration — Webex cloud, CUCM on-prem telephony, Unity Connection voicemail, UCCX contact centre.
Cisco switching and routing — IOS/IOS-XE/NX-OS, VLANs, STP, inter-VLAN routing, OSPF, EIGRP, BGP, QoS.
Cisco network security — ASA/Firepower NGFW, Umbrella DNS security, ISE identity/NAC, AnyConnect VPN.
Cisco wireless — Catalyst Wi-Fi (WLC), Meraki cloud-managed, access point deployment, RF design.
setting up a new Claude Code environment for a client or project,
building or deploying Cloudflare Workers or Pages applications,
edge inference — Workers AI for fast, cheap classification and routing,
routing all Claude API calls through AI Gateway for token metering and logging,
building semantic search over skills, documents, or knowledge bases,
running LLM inference at the edge with zero cold starts (Llama, Mistral, Phi),
recording token usage, request counts, or latency metrics per client/skill/agent,
designing schemas and writing migrations for D1 databases,
building real-time collaborative features requiring WebSocket connections,
triggering AI workflows from inbound email (client briefs, intake forms),
connecting Cloudflare Workers to an external Postgres or MySQL database,
storing session tokens, auth state, or user preferences at the edge,
deploying frontend apps, marketing sites, or documentation from a Git repo,
decoupling AI inference from HTTP request handlers to avoid timeout,
storing files, images, documents, or exports uploaded by users,
connecting 2nth Workers to a client's on-premise ERP, CRM, or database without opening firewall ports,
building edge API handlers, middleware, or proxies in TypeScript/JavaScript,
building a platform where YOUR customers deploy their own Workers into your infrastructure,
orchestrating multi-step AI agent pipelines that must survive Worker restarts,
generating realistic speech from text — TTS with 70+ languages, emotional control, streaming,
automating repositories — create, update, branch, tag via REST API,
sending a bot to join and record a meeting programmatically,
reading or writing CRM data — Leads, Contacts, Accounts, Deals via Zoho CRM API v8,