Marketplace

Design effective chatbot conversations: intent mapping, escalation flows, personality design, and fallback strategies.

Choose the right chart form for a dataset and question, then build an honest, labeled, accessible visualization; use whenever data needs plotting.

Design chaos engineering experiments: hypothesis formation, blast radius control, steady-state metrics, and game day execution.

Design canary and progressive deployment strategies: traffic splitting, health metrics, automatic rollback, and analysis windows.

Use when applying or auditing an Azure landing-zone baseline: management groups, Azure Policy, RBAC, Defender for Cloud, budgets and Log Analytics.

Deploy and manage Azure infrastructure: VMs, AKS, App Service, databases, storage, networking, and Entra ID via az-cli with safety checks.

Use when asked to audit, score, or harden an AWS account, Organization, or workload across the six Well-Architected pillars with evidence-backed findings.

Use when managing AWS S3, EBS, EFS, RDS or DynamoDB: buckets, encryption, lifecycle, snapshots, backups, restores and verified data migration.

Invoke to instrument or investigate a live AWS workload: CloudWatch alarms and metric math, Logs Insights, X-Ray traces, CloudTrail forensics, incident triage.

Design, build, and debug AWS VPC networking: subnets, routes, NAT/IGW, security groups vs NACLs, endpoints, peering/TGW, Route 53, ELB, plus a triage protocol.

Invoke to design, audit or debug AWS IAM: roles, trust policies, boundaries, SCPs, and pinpointing AccessDenied via policy simulator and CloudTrail.

Deploy and manage AWS infrastructure with safety: VPC setup, EC2/ECS/EKS provisioning, IAM roles, RDS databases, and pre-deploy cost/safety checks via aws-cli.

Invoke to cut an existing AWS bill: find idle resources, unattached EBS, NAT egress, oversized instances and missing Savings Plans, with quantified savings.

Use to provision and operate AWS compute: EC2, AMIs, ASGs, ECS/Fargate services and Lambda — deploys, rollbacks, logs and right-sizing, with dry-run safety.

Invoke to drive AWS from the CLI or boto3: SSO login, assume-role, profiles, regions, pagination, JMESPath --query, waiters and dry-run-gated mutations.

Use when a repo's test suite is red and you must drive it to green by patching the code under test within a budget, without masking regressions.

Design secure authentication flows: OAuth2, OIDC, session management, token rotation, and multi-factor authentication patterns.

Harden APIs against attacks: input validation, output encoding, rate limiting, CORS, CSP, and injection prevention.

Design rate limiting strategies for APIs: token bucket, sliding window, per-user limits, and 429 response patterns.

Design API products: endpoint design for developer experience, versioning strategy, rate tiers, and ecosystem growth.

Use when API reference docs must be generated or updated from source code, with verified schemas, runnable examples, and complete error catalogs.

Generate and run contract tests for REST and GraphQL APIs from OpenAPI specs or schema definitions.

Design cohesive animation systems: motion principles, timing curves, choreography rules, and accessible motion.

Design AI writing assistant features: tone control, suggestion timing, feedback loops, and human-in-the-loop editing.