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Found 22 Skills
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Build Python APIs on Cloudflare Workers using pywrangler CLI and WorkerEntrypoint class pattern. Includes Python Workflows for multi-step DAG automation. Prevents 11 documented errors. Use when: building Python serverless APIs, migrating Python to edge, or troubleshooting async errors, package compatibility, handler pattern mistakes, RPC communication issues.
Use when building IoT apps. Keywords: IoT, Internet of Things, sensor, MQTT, device, edge computing, telemetry, actuator, smart home, gateway, protocol, 物联网, 传感器, 边缘计算, 智能家居
Build MCP (Model Context Protocol) servers on Cloudflare Workers with tools, resources, and prompts.
Migrate to Cloudflare Workers from AWS Lambda, Vercel, Express, and Node.js. Use when porting existing applications to the edge, adapting serverless functions, or resolving Node.js API compatibility issues.
Neon + Vercel serverless Postgres for edge and serverless environments. Use for Cloudflare Workers, Vercel Edge, Next.js apps with HTTP/WebSocket connections, database branching (git-like), Drizzle/Prisma ORM integration, migrations, PITR backups, or encountering connection pool exhausted errors, TCP connection issues, SSL config problems.
Cloudflare Workers performance optimization with CPU, memory, caching, bundle size. Use for slow workers, high latency, cold starts, or encountering CPU limits, memory issues, timeout errors.
Cloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.
Expert in Internet of Things, Edge Computing, and MQTT. Specializes in firmware (C/C++), wireless protocols, and cloud integration.
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
Connection pooling and caching for PostgreSQL and MySQL databases. Load when connecting Workers to existing Postgres/MySQL, reducing connection overhead, using Drizzle/Prisma with external databases, or migrating traditional database apps to the edge.