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Infrastructure as Code (IaC) deployment expert for Apache Kafka. Guides Terraform deployments across Apache Kafka (KRaft mode), AWS MSK, Azure Event Hubs. Activates for terraform, iac, infrastructure as code, deploy kafka, provision kafka, aws msk, azure event hubs, kafka infrastructure, terraform modules, cloud deployment, kafka deployment automation.

Validates Azure DevOps projects and resources exist, creates missing resources automatically. Smart enough to prompt user to select existing or create new projects. Supports multiple projects for project-per-team strategy, area paths for area-path-based strategy, and teams for team-based strategy. NEW - Per-project configuration support - AZURE_DEVOPS_AREA_PATHS_{ProjectName} and AZURE_DEVOPS_TEAMS_{ProjectName} for hierarchical organization. Activates for ado setup, ado validation, ado configuration, missing ado project, azure devops .env setup, per-project area paths, per-project teams.

Expert in bidirectional conversion between SpecWeave increments and Azure DevOps (ADO) Epics/Features/User Stories/Tasks. Handles export (increment → ADO), import (ADO → increment), and bidirectional sync with conflict resolution. Activates for ADO sync, Azure DevOps sync, work item creation, import from ADO.

Expert guide for setting up bidirectional synchronization between SpecWeave and external tools (GitHub Issues, Jira Epics, Azure DevOps Work Items). Provides interactive setup wizards with sync direction options (bidirectional, export-only, import-only, manual). Activates for GitHub sync, Jira integration, Azure DevOps, ADO, external tool setup, issue tracking sync, sync configuration, bidirectional sync, import issues, export increments, sync direction, GitHub issues, Jira epics, work items, project management tools.

Expert at organizing specs and splitting tasks across multiple Azure DevOps projects. Handles project-per-team, area-path-based, and team-based architectures. Intelligently maps increments and specs to correct projects based on content analysis. Activates for multi-project Azure DevOps setups, task splitting, spec organization, team allocation, cross-project coordination.

Intelligent serverless platform recommendation expert. Detects project context (pet-project, startup, enterprise), analyzes workload suitability, ranks platforms (AWS Lambda, Azure Functions, GCP Cloud Functions, Firebase, Supabase), and provides comprehensive recommendations with cost estimates. Activates for serverless recommendations, platform selection, AWS vs Azure vs GCP, Firebase vs Supabase, serverless architecture, should I use serverless, which serverless platform, serverless cost, serverless free tier, Lambda vs Functions, cloud functions comparison.

Expert cloud cost optimization strategies for AWS, Azure, GCP, and serverless platforms. Covers FinOps principles, right-sizing, reserved instances, savings plans, spot instances, storage optimization, database cost reduction, serverless cost modeling, budget management, cost allocation, chargeback models, and continuous cost optimization. Activates for cost optimization, cloud costs, reduce costs, save money, finops, cost analysis, budget overrun, expensive cloud bill, cost savings, reserved instances, spot instances, savings plans, right-sizing, cost allocation tags, chargeback, showback.

Deep AWS cost optimization expertise covering EC2 Reserved Instances, Savings Plans, Spot Instances, Lambda cost optimization, S3 lifecycle policies, RDS Reserved Instances, Cost Explorer, AWS Budgets, Trusted Advisor, Compute Optimizer, Cost Anomaly Detection, and AWS-specific FinOps best practices. Activates for AWS costs, AWS pricing, EC2 costs, Lambda costs, S3 costs, RDS costs, AWS savings plans, AWS reserved instances, AWS spot instances, AWS cost explorer, AWS budgets, reduce AWS bill.

DevOps and infrastructure troubleshooting for Cloudflare Workers, PlanetScale PostgreSQL, and distributed systems. Use when debugging deployment issues, infrastructure problems, connection errors, or performance degradation.

Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging production issues.

Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.

Generate production-ready project scaffolds for Grey Haven stack with Cloudflare Workers, React + TypeScript, Python + Pydantic, PlanetScale, proper structure, and configuration. Use when starting new projects, creating microservices, setting up monorepo workspaces, initializing projects, or when user mentions 'new project', 'project scaffold', 'project template', 'project setup', 'bootstrap project', 'project starter', or 'initialize project'.

This skill guides Cloudflare Workers and Pages development with Wrangler CLI. Use when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.

Debug AWS resource issues, check Lambda logs, and monitor deployed services. Use when investigating production issues, checking CloudWatch logs, or debugging deployment failures.

This skill guides writing Ansible playbooks for server configuration. Use when hardening servers, installing packages, or automating post-provisioning tasks that cloud-init cannot handle.

This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.

This skill guides provisioning Cloudflare infrastructure with OpenTofu/Terraform. Use when managing zones, DNS records, WAF rules, SSL settings, Page Rules, or cache configuration.

This skill guides writing cloud-init configurations for VM provisioning. Use when creating user_data blocks in Terraform/OpenTofu, or cloud-init YAML for AWS, DigitalOcean, GCP, or Azure instances.

Configure or update SST v3 infrastructure resources for AWS deployment. Use when adding new AWS resources, modifying Lambda configurations, or updating domain settings.

Guidance for identifying and fixing security vulnerabilities in code. This skill should be used when tasks involve fixing CWE-classified vulnerabilities, addressing security flaws, patching injection vulnerabilities, or responding to security-related test failures.