Use when setting up JSON schema validation with AJV in a Pikku app. Covers AjvSchemaService for request/response validation. TRIGGER when: code uses AjvSchemaService, user asks about AJV, JSON schema validation, or @pikku/schema-ajv. DO NOT TRIGGER when: user asks about Cloudflare Workers schema validation (use pikku-schema-cfworker).
Use when setting up JSON schema validation for Cloudflare Workers in a Pikku app. Covers CFWorkerSchemaService as a lightweight alternative to AJV. TRIGGER when: code uses CFWorkerSchemaService, user asks about schema validation on Cloudflare Workers, or @pikku/schema-cfworker. DO NOT TRIGGER when: user asks about AJV schema validation (use pikku-schema-ajv).
Production-grade backend APIs for Node.js, Python, Go, Rust, and C# with PostgreSQL. Use when building REST/GraphQL/tRPC services or auth.
Connect to a Dataverse environment in one step — installs tools, authenticates, configures MCP, and verifies the connection. Use when: "connect to Dataverse", "configure MCP", "set up MCP server", "MCP not working", ".env is missing", "setting up on a new machine", "starting a new project", "initialize workspace", "new repo", "first time setup", "install tools", "command not found", "missing tools", "new machine setup", "authenticate", "MCP not connected", "create a new environment", "select environment", "connect via MCP", "add Dataverse to Copilot", "add Dataverse to Claude", "load demo data", "sample data".
Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.
Add stack metadata to existing benchmark results in Google Cloud Storage (GCS). Use when the user wants to backfill or enrich previous reports with stack metadata from a specific serving cluster endpoint.
Deploy applications using Coolify at {{COOLIFY_HOST}}:{{COOLIFY_PORT}}.
Generate and manage Docker Compose stacks via the better-openclaw API
Build and manage automation pipelines using xyOps at {{XYOPS_HOST}}:{{XYOPS_PORT}}.
Direct Emporia Vue energy queries via Emporia cloud (PyEmVue) or local ESPHome API, including guidance on choosing/configuring cloud vs local modes and running list/summary/circuit commands.
Expert at handling file uploads and cloud storage. Covers S3, Cloudflare R2, presigned URLs, multipart uploads, and image optimization. Knows how to handle large files without blocking. Use when "file upload, S3, R2, presigned URL, multipart, image upload, cloud storage, file-upload, s3, r2, storage, presigned, images" mentioned.
Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when "inngest, serverless background job, event-driven workflow, step function, durable execution, vercel background job, scheduled function, fan out, inngest, serverless, background-jobs, event-driven, workflows, step-functions, durable-execution, vercel, nextjs" mentioned.
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when "azure function, azure functions, durable functions, azure serverless, function app, azure, serverless, functions, durable-functions, cloud" mentioned.
Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization. Use when ", aws, lambda, serverless, api-gateway, dynamodb" mentioned.
Build durable, fault-tolerant workflows in Java using the Durable Task SDK with Azure Durable Task Scheduler. Use when creating orchestrations, activities, or implementing patterns like function chaining, fan-out/fan-in, human interaction, or monitoring. Applies to any Java application requiring durable execution, state persistence, or distributed transactions without Azure Functions dependency.
Build durable, fault-tolerant workflows using Azure Durable Functions with .NET isolated worker and Durable Task Scheduler backend. Use when creating serverless orchestrations, activities, entities, or implementing patterns like function chaining, fan-out/fan-in, async HTTP APIs, human interaction, monitoring, or stateful aggregators. Applies to Azure Functions apps requiring durable execution, state persistence, or distributed coordination with built-in HTTP management APIs and Azure integration.
Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub. Use when ", gcp, cloud-run, serverless, containers, pubsub" mentioned.
World-class DevOps engineering - cloud architecture, CI/CD pipelines, infrastructure as code, and the battle scars from keeping production running at 3amUse when "devops, infrastructure, deployment, ci/cd, docker, kubernetes, aws, gcp, azure, terraform, cloudflare, vercel, monitoring, alerting, pipeline, container, scaling, downtime, incident, sre, devops, infrastructure, cloud, ci-cd, monitoring, reliability, sre, containers" mentioned.
