serverless
Benefits:
TanStack Start
Build full-stack React apps with TanStack Start on Cloudflare Workers. Type-safe routing, server functions, SSR/streaming, D1/KV/R2 integration. Use when building full-stack React apps with SSR, migrating from Next.js, or from Vinxi to Vite (v1.121.0+). Prevents 9 documented errors including middleware bugs, file upload limitations, and deployment config issues.
gcp-cloud-functions
Deploy serverless functions on Google Cloud Functions. Configure triggers and manage deployments. Use when implementing serverless workloads on GCP.
cloudflare-workers
Build and deploy edge functions with Cloudflare Workers and Wrangler. Use for APIs, cron jobs, and edge middleware.
firebase-app-platform
Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting.
cloudflare-pages
Deploy static sites and full-stack apps on Cloudflare Pages with previews, functions, and custom domains.
gcloud
Google Cloud CLI for managing GCP resources. Use when the user needs to work with Compute Engine, Cloud Storage, Cloud Functions, IAM, GKE, and other Google Cloud services from the terminal.
cloudflare-pages
Cloudflare Pages - Full-stack JAMstack platform with global CDN, serverless functions, Git integration, and native bindings to Workers, KV, R2, D1, and Durable Objects
content-collections
Production-tested setup for Content Collections - a TypeScript-first build tool that transforms local content files (Markdown/MDX) into type-safe data collections with automatic validation. Use when: building blogs, documentation sites, or content-heavy applications with Vite + React, setting up MDX content with React components, implementing type-safe content schemas with Zod, migrating from Contentlayer, or encountering TypeScript import errors with content collections. Covers: Vite plugin setup, tsconfig path aliases, collection schemas with Zod validation, MDX compilation with compileMDX, transform functions for computed properties, rehype/remark plugins, React component integration with MDXContent, Cloudflare Workers deployment, and production build optimization. Keywords: content-collections, @content-collections/core, @content-collections/vite, @content-collections/mdx, MDX, markdown, Zod schema validation, type-safe content, frontmatter, compileMDX, defineCollection, defineConfig, Vite plugin, tsconfig paths, .content-collections/generated, MDXContent component, rehype plugins, remark plugins, content schema, document transform, allPosts import, static site generation, blog setup, documentation, Cloudflare Workers static assets, content validation errors, module not found content-collections, path alias not working, MDX type errors, transform function async, collection not updating
vercel-kv
This skill provides comprehensive knowledge for integrating Vercel KV (Redis-compatible key-value storage powered by Upstash) into Vercel applications. It should be used when setting up Vercel KV for Next.js applications, implementing caching patterns, managing sessions, or handling rate limiting in edge and serverless functions. Use this skill when: - Setting up Vercel KV for Next.js applications - Implementing caching strategies (page cache, API cache, data cache) - Managing user sessions or authentication tokens in serverless environments - Building rate limiting for APIs or features - Storing temporary data with TTL (time-to-live) - Migrating from Cloudflare KV to Vercel KV - Encountering errors like "KV_REST_API_URL not set", "rate limit exceeded", or "JSON serialization errors" - Need Redis-compatible API with strong consistency (vs eventual consistency) Keywords: vercel kv, @vercel/kv, vercel redis, upstash vercel, kv vercel, redis vercel edge, key-value vercel, vercel cache, vercel sessions, vercel rate limit, redis upstash, kv storage, edge kv, serverless redis, vercel ttl, vercel expire, kv typescript, next.js kv, server actions kv, edge runtime kv
cloudflare-workers
Assists with building and deploying applications on Cloudflare Workers edge computing platform. Use when working with Workers runtime, Wrangler CLI, KV, D1, R2, Durable Objects, Queues, or Hyperdrive. Trigger words: cloudflare, workers, edge functions, wrangler, KV, D1, R2, durable objects, edge computing.
modal
Serverless GPU compute platform for running Python functions in the cloud. Deploy ML models, run training jobs, and serve inference endpoints without managing infrastructure. Supports A100/H100 GPUs, custom container images, and scales to zero automatically.
val-town
Write and deploy server-side TypeScript functions instantly with Val Town. Use when someone asks to "deploy a function quickly", "serverless TypeScript", "quick API endpoint", "webhook handler", "cron job in the cloud", "Val Town", "instant API without infrastructure", or "deploy a script without a server". Covers HTTP vals, cron vals, email vals, SQLite storage, and the Val Town API.
neon-vercel-postgres
This skill provides comprehensive knowledge for integrating Neon serverless Postgres and Vercel Postgres (built on Neon infrastructure) into web applications. Use it when setting up serverless Postgres databases, configuring connection pooling for edge and serverless environments, implementing database branching workflows, or troubleshooting Postgres connection issues in Cloudflare Workers, Vercel Edge Functions, or Node.js serverless functions. Use this skill when: - Setting up Neon Postgres for Cloudflare Workers, Vercel Edge, or other serverless environments - Configuring Vercel Postgres for Next.js applications - Implementing database branching workflows (git-like database branches) - Integrating Drizzle ORM or Prisma with Neon/Vercel Postgres - Debugging connection pool errors, transaction timeouts, or SSL configuration issues - Migrating from D1/SQLite to Postgres or from traditional Postgres to serverless Postgres - Setting up point-in-time restore (PITR) or database backups - Encountering errors like "connection pool exhausted", "TCP connections not supported in serverless", or "sslmode required" Keywords: neon postgres, @neondatabase/serverless, @vercel/postgres, serverless postgres, postgres edge, neon branching, vercel database, http postgres, websocket postgres, pooled connection, drizzle neon, prisma neon, postgres cloudflare, postgres vercel edge, sql template tag, neonctl, database branches, point in time restore, postgres migrations, serverless sql, edge database, neon api, vercel sql
tinacms
Complete TinaCMS skill for building content-heavy sites with a Git-backed CMS. Use this skill when setting up blogs, documentation sites, or marketing sites that require visual editing and content management for non-technical users. Supports Next.js (App Router + Pages Router), Vite + React, Astro, and framework-agnostic setups. Prevents 9+ common errors including ESbuild compilation issues, module resolution problems, schema configuration errors, Docker binding issues, and deployment problems. Self-hosting options for Cloudflare Workers, Vercel Functions, and Netlify Functions included. Keywords: TinaCMS, Tina CMS, Git-backed CMS, visual editing CMS, content management, Next.js CMS, App Router TinaCMS, Pages Router TinaCMS, Vite React TinaCMS, Astro TinaCMS, framework-agnostic CMS, TinaCloud, self-hosted TinaCMS, blog CMS, documentation site CMS, marketing site CMS, GraphQL CMS, tina schema, tina collections, tina templates, tinacli, @tinacms/cli, ESbuild compilation error, module resolution tina, schema configuration, Docker binding issues, Cloudflare Workers TinaCMS, Vercel Functions TinaCMS, Netlify Functions TinaCMS
appwrite
Build backends with Appwrite — open-source Backend-as-a-Service. Use when a user asks to set up user authentication, manage a database without writing backend code, handle file storage and uploads, add realtime subscriptions, set up cloud functions, build a mobile or web app backend, replace Firebase with an open-source alternative, or self-host a BaaS platform. Covers auth, databases, storage, functions, realtime, and SDK integration for web, mobile, and server-side.
gcp-cloud-functions
Build serverless functions on Google Cloud Functions. Deploy HTTP and event-driven functions triggered by Pub/Sub, Cloud Storage, and Firestore. Configure runtime settings, manage dependencies, and connect to other GCP services.
vercel-blob
This skill provides comprehensive knowledge for integrating Vercel Blob object storage into Vercel applications. It should be used when setting up file uploads, managing images and documents, implementing CDN-delivered assets, or handling large files in Next.js serverless and edge functions. Use this skill when: - Setting up file uploads for Next.js applications (images, PDFs, videos) - Implementing client-side uploads with presigned URLs - Managing user-generated content (avatars, attachments, media) - Building file management features (list, download, delete) - Migrating from Cloudflare R2 to Vercel Blob - Encountering errors like "BLOB_READ_WRITE_TOKEN not set", "file size limit exceeded", or "client upload token errors" - Need simple object storage with automatic CDN distribution Keywords: vercel blob, @vercel/blob, vercel storage, vercel file upload, vercel cdn, blob storage vercel, client upload vercel, presigned url vercel, file upload nextjs, image upload vercel, pdf upload, video upload, user uploads, multipart upload, streaming upload, blob cdn, vercel assets, file download
serverless-debugger
Debug and optimize serverless functions (AWS Lambda, Vercel Functions, Cloudflare Workers). Use when someone asks to "debug Lambda", "trace serverless request", "fix cold starts", "analyze CloudWatch logs", "optimize Lambda performance", "reduce init duration", or "troubleshoot function timeout". Correlates logs across invocations and generates fixes.
tanstack-start
Build full-stack React apps with TanStack Start. Use when a user asks to create a full-stack React application with type-safe server functions, set up file-based routing with SSR/SSG/SPA modes, build APIs with middleware and validation, implement server-side data fetching with TanStack Router, or deploy to Cloudflare/Netlify/Vercel/Node.
gcp-cloud
Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.
genkit-production-expert
Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when asked to "create genkit flow" or "implement RAG".
firebase-functions
Use when creating or modifying Firebase Cloud Functions in /functions directory. Enforces function structure and error handling patterns.
shader-noise
Procedural noise functions in GLSL—Perlin, simplex, Worley/cellular, value noise, FBM (Fractal Brownian Motion), turbulence, and domain warping. Use when creating organic textures, terrain, clouds, water, fire, or any natural-looking procedural patterns.
firebase
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I
exploiting-cloud-platforms
Exploit AWS, Azure, and GCP cloud misconfigurations including S3 buckets, IAM roles, metadata services, serverless functions, and cloud-specific privilege escalation. Use when pentesting cloud environments or assessing cloud security.
gcp-cloud-run
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.
lovable
Integration skill for Lovable.dev projects. Activates when working with: - Lovable.dev projects with GitHub sync - Supabase Edge Functions that need deployment - Database migrations for Lovable Cloud - Projects with supabase/ directory structure - Any mention of "Lovable", "deploy edge function", "apply migration" Provides exact Lovable prompts for backend operations that can't be done via GitHub alone.
devops
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
cdk-infrastructure
AWS CDK infrastructure development with TypeScript. Use when creating or modifying CDK stacks, constructs, DynamoDB tables, ECS/Fargate services, Lambda functions, S3 buckets, networking, IAM roles, or any CloudFormation resources. Covers configuration patterns, cross-stack references via SSM, naming conventions, and Bedrock AgentCore integration.
gcp-cloud-run
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-dri...
DevOps
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
securing-serverless-functions
This skill covers security hardening for serverless compute platforms including AWS Lambda, Azure Functions, and Google Cloud Functions. It addresses least privilege IAM roles, dependency vulnerability scanning, secrets management integration, input validation, function URL authentication, and runtime monitoring to protect against injection attacks, credential theft, and supply chain compromises.
conducting-cloud-infrastructure-penetration-test
Perform a cloud infrastructure penetration test across AWS, Azure, and GCP to identify IAM misconfigurations, exposed storage buckets, insecure serverless functions, and cloud-native attack paths using Pacu, ScoutSuite, and Prowler.
performing-serverless-function-security-review
Performing security reviews of serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions to identify overly permissive execution roles, insecure environment variables, injection vulnerabilities, and missing runtime protections.
gcp-cloud-run
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-dri...
firebase
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I
firebase
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I
GCP Cloud Run
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.
cloud-cloudformation
AWS CloudFormation expert. Covers CFN templates, intrinsic functions (!Ref, !GetAtt), stacks, nested stacks, and drift detection. Use for any CloudFormation question.
cloud-sam
AWS SAM expert for serverless. Covers template.yaml, sam build/deploy/local, Lambda functions, and API Gateway. Use for any SAM question.
Serverless Debugging
Debug serverless and edge functions where traditional logging is limited. Use when features are deployed but not triggering, logs are missing, or runtime behavior differs from expectations in Supabase Edge Functions, AWS Lambda, Cloudflare Workers, or similar platforms.
GCP Cloud Run
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.
gcloud
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
modal-deploy
Deploy execution scripts to Modal cloud. Use when user asks to deploy to Modal, push code to cloud, or update Modal functions.
GCP Cloud Run
Specialized skill for building production-ready serverless applications on Google Cloud Platform (GCP). Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold-start optimization, and event-driven integrations.
cloudfront-cdn
Amazon CloudFront CDN の設計・運用パターン。ディストリビューション設定、キャッシュビヘイビア、 オリジンアクセスコントロール(OAC)、CloudFront Functions / Lambda@Edge によるエッジ処理、 カスタムエラーページ、WAF 連携、SSL/TLS 設定を網羅する。静的サイト配信、API キャッシュ、 動的コンテンツ配信における低レイテンシ・高可用性の実現パターンを提供する。
genkit-infra-expert
Execute use when deploying Genkit applications to production with Terraform. Trigger with phrases like "deploy genkit terraform", "provision genkit infrastructure", "firebase functions terraform", "cloud run deployment", or "genkit production infrastructure". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI/CD for AI workflows.