Content & Media

Add OAuth authentication to MCP servers on Cloudflare Workers. Uses @cloudflare/workers-oauth-provider with Google OAuth for Claude.ai-compatible authentication. Use when building MCP servers that need user authentication, implementing Dynamic Client Registration (DCR) for Claude.ai, or replacing static auth tokens with OAuth flows. Prevents CSRF vulnerabilities, state validation errors, and OAuth misconfiguration.

Build Python APIs on Cloudflare Workers using pywrangler CLI and WorkerEntrypoint class pattern. Includes Python Workflows for multi-step DAG automation with @step.do decorators. Use when: building Python serverless APIs, migrating Python code to edge, using Python ML libraries, or creating durable workflows. Prevents async errors, package compatibility issues, handler pattern mistakes.

Build stateful Durable Objects for real-time apps, WebSocket servers, coordination, and persistent state. Use when: implementing chat rooms, multiplayer games, rate limiting, session management, WebSocket hibernation, or troubleshooting class export, migration, WebSocket state loss, or binding errors.

Build document Q&A and searchable knowledge bases with Google Gemini File Search - fully managed RAG with automatic chunking, embeddings, and citations. Upload 100+ file formats (PDF, Word, Excel, code), configure semantic search, and query with natural language. Use when: building document Q&A systems, creating searchable knowledge bases, implementing semantic search without managing embeddings, indexing large document collections (100+ formats), or troubleshooting document immutability errors (delete+re-upload required), storage quota issues (3x input size for embeddings), chunking configuration (500 tokens/chunk recommended), metadata limits (20 key-value pairs max), indexing cost surprises ($0.15/1M tokens one-time), operation polling timeouts (wait for done: true), force delete errors, or model compatibility (Gemini 2.5 Pro/Flash only).

Generate structured task lists from specs or requirements. IMPORTANT: After completing ANY spec via ExitSpecMode, ALWAYS ask the user: "Would you like me to generate a task list for this spec?" Use when user confirms or explicitly requests task generation from a plan/spec/PRD.

Build durable workflows with Cloudflare Workflows (GA April 2025). Features step.do, step.sleep, waitForEvent, Vitest testing, and runs for hours to days with automatic retries and state persistence. Use when: creating long-running workflows, implementing retry logic, building event-driven processes, testing workflows with cloudflare:test, coordinating API calls, or troubleshooting NonRetryableError, I/O context errors, serialization failures. Keywords: cloudflare workflows, workflows workers, durable execution, workflow step, WorkflowEntrypoint, step.do, step.sleep, workflow retries, NonRetryableError, workflow state, wrangler workflows, workflow events, long-running tasks, step.sleepUntil, step.waitForEvent, workflow bindings, vitest testing, cloudflare:test, introspectWorkflowInstance

Build and deploy Streamlit apps natively in Snowflake with production-ready templates. Covers project scaffolding (snowflake.yml, environment.yml), Snowpark session patterns, multi-page structure, and Marketplace publishing as Native Apps. Use when building data apps on Snowflake, deploying Streamlit in Snowflake (SiS), or publishing to Snowflake Marketplace. Prevents package channel errors, outdated Streamlit versions, and authentication issues.

Build Google Chat bots and webhooks with Cards v2, interactive forms, Spaces/Members/Reactions APIs, and Cloudflare Workers integration. Includes webhook handlers, card builders, form validation, bearer token verification, rate limit handling, and dialog patterns. Use when creating Chat bots, managing spaces/members programmatically, workflow automation, or interactive forms, or troubleshooting bearer token errors, rate limit 429 errors, card schema validation, or webhook verification failures.

Run LLMs and AI models on Cloudflare's global GPU network with Workers AI. Includes Llama 4, Gemma 3, Mistral 3.1, Flux image generation, BGE embeddings (2x faster, 2025), streaming support, and AI Gateway for cost tracking. Use when: implementing LLM inference, generating images, building RAG with embeddings, streaming AI responses, using AI Gateway, troubleshooting max_tokens defaults (breaking change 2025), BGE pooling parameter (not backwards compatible), or handling AI_ERROR, rate limits, model deprecations, token limits. Keywords: workers ai, cloudflare ai, ai bindings, llm workers, @cf/meta/llama-4-scout, @cf/google/gemma-3-12b-it, @cf/mistralai/mistral-small-3.1-24b-instruct, @cf/openai/gpt-oss-120b, workers ai models, ai inference, cloudflare llm, ai streaming, text generation ai, ai embeddings, bge pooling cls mean, image generation ai, workers ai rag, ai gateway, llama workers, flux image generation, deepgram aura, leonardo image generation, vision models ai, ai chat completion, AI_ERROR, rate limit ai, model not found, max_tokens breaking change, bge pooling backwards compatibility, model deprecations october 2025, token limit exceeded, neurons exceeded, workers ai hono, ai gateway workers, vercel ai sdk workers, openai compatible workers, workers ai vectorize, workers-ai-provider v2, ai sdk v5, lora adapters rank 32

Optimize Next.js App Router data fetching by converting slow client-side fetching to fast server-side fetching using React Server Components (RSC). Use when: - User reports slow initial page load with loading spinners - Page uses useEffect + useState for data fetching - StoreContext/useStore pattern causes waterfall fetching - Need to improve SEO (content not in initial HTML) - Converting "use client" pages to Server Components Triggers: "slow loading", "optimize fetching", "SSR data", "RSC optimization", "remove loading spinner", "server-side fetch", "convert to server component", "data fetch lambat", "loading lama"

Build integrations with Google Workspace APIs (Gmail, Calendar, Drive, Sheets, Docs, Chat, Meet, Forms, Tasks, Admin SDK). Covers OAuth 2.0, service accounts, rate limits, batch operations, and Cloudflare Workers patterns. Use when building MCP servers, automation tools, or integrations with any Google Workspace API, or troubleshooting OAuth errors, rate limit 429 errors, scope issues, or API-specific gotchas.

Build AI applications with OpenAI Agents SDK - text agents, voice agents (realtime), multi-agent workflows with handoffs, tools with Zod schemas, input/output guardrails, structured outputs, and streaming. Deploy to Cloudflare Workers, Next.js, or React with human-in-the-loop patterns. Use when: building text-based agents with tools and Zod schemas, creating realtime voice agents with WebRTC/WebSocket, implementing multi-agent workflows with handoffs between specialists, setting up input/output guardrails for safety, requiring human approval for critical actions, streaming agent responses, deploying agents to Cloudflare Workers or Next.js, or troubleshooting Zod schema type errors, MCP tracing failures, infinite loops (MaxTurnsExceededError), tool call failures, schema mismatches, or voice agent handoff constraints.

Comprehensive backend development workflow that orchestrates expert analysis, architecture design, implementation, and deployment using the integrated toolset. Handles everything from API design and database architecture to security implementation and DevOps automation.

Build CLI scripts alongside MCP servers for terminal environments. Scripts provide file I/O, batch processing, caching, and richer output formats that remote MCP servers cannot offer. Includes templates for TypeScript scripts and SCRIPTS.md. Use when: creating MCP server companion scripts, adding batch processing to MCP tools, saving MCP results to files, building CLI wrappers for APIs, or troubleshooting "context too large", "no file access", or batch input handling.

Build content-heavy sites with Git-backed TinaCMS. Provides visual editing and content management for blogs, documentation, and marketing sites with non-technical editors. Use when implementing Next.js, Vite+React, or Astro CMS setups, self-hosting on Cloudflare Workers, or troubleshooting ESbuild compilation errors, module resolution issues, or Docker binding problems.

Migrate AI image generation from Google Gemini 2.5 Flash to BytePlus SeeDream v4.5. Use when: (1) User wants to switch from Gemini to SeeDream/BytePlus for image generation, (2) User asks about migrating image generation APIs or replacing Gemini with BytePlus, (3) User needs cost optimization or better image quality for AI-generated images, (4) User mentions SeeDream, BytePlus, or wants SDK-to-REST API migration for image generation

Build headless data tables with TanStack Table v8. Provides server-side pagination, filtering, sorting, and virtualization patterns for Cloudflare Workers + D1 databases. Use when building tables with large datasets, coordinating with TanStack Query, or troubleshooting state management issues, pagination coordination errors, or performance bottlenecks.

Set up Sveltia CMS - the lightweight Git-backed CMS successor to Decap/Netlify CMS with 5x smaller bundle (300 KB), GraphQL performance, and 270+ fixed predecessor issues. Framework-agnostic for Hugo, Jekyll, 11ty, Gatsby, Astro. Use when: adding CMS to static sites, migrating from Decap/Netlify CMS, enabling non-technical editors, or troubleshooting OAuth authentication failures, YAML parse errors, CORS/COOP policy problems, content not listing issues.

Build with OpenAI's stateless APIs - Chat Completions (GPT-5.2, GPT-5.1, o3, o4-mini), Realtime API (voice), Batch API (50% savings), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Node.js SDK and fetch for Cloudflare Workers. Use when: implementing chat with GPT-5.2/5.1/o3/o4-mini, Realtime voice API (WebSocket), Batch API for cost savings, xhigh reasoning (GPT-5.2), streaming responses, function calling/tools, structured outputs, embeddings for RAG, DALL-E 3 images, Whisper transcription, TTS (13 voices), or troubleshooting rate limits (429), API keys (401), streaming errors.

Build Python web applications with Flask, using the application factory pattern, Blueprints, and Flask-SQLAlchemy. Covers project structure, authentication, and configuration management. Use when: creating Flask projects, organizing with blueprints, implementing authentication, or troubleshooting circular imports, application context errors, or blueprint registration.