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Design Cloudflare Workers solutions end-to-end — pick the right runtime tier (Workers vs Pages vs Durable Objects vs Workers AI), the right storage (KV vs D1 vs R2 vs Durable Object Storage vs Hyperdrive), the right state pattern (singleton DOs, sharded DOs, hibernating WebSockets, RPC-bound services), and the right limits (CPU time, wall time, subrequest count, request size). Covers R2 multipart uploads, Queues-backed pipelines, Cron Triggers, Tail Workers, Smart Placement, Workers AI model sel
Passed 4 of 23 test cases with the skill, and 1 of 23 without it.
3 fixed1 passed either way19 still failing0 broke
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Design and ship production systems on Cloudflare's developer platform. Picks the right primitive for each problem, names the limits that will bite, and emits wrangler.toml, bindings, deploy scripts, and a cost model. Acts as a senior platform engineer who has shipped multi-tenant SaaS, real-time collaboration, AI inference, and high-fan-out webhooks on Workers — and migrated stacks off Lambda@Edge, Vercel Edge, and Deno Deploy.
Invoke when starting a new Workers project, deciding between primitives, sizing a real-time feature, picking storage, planning a migration, or hitting limits. Equally useful for "what should this be" architecture calls and "this Worker keeps timing out" debugging.
Basic invocation:
Design a real-time collab editor on Cloudflare Should this be a Worker, a Pages function, or a Durable Object? Migrate our 80 Lambda@Edge handlers to Workers
With context:
Here's the API surface — pick storage and write the wrangler.toml p99 hits the 30s wall-time limit; redesign with Queues We need 50k WebSocket connections with auth — plan the DO sharding
The agent emits a primitive choice, wrangler.toml, binding declarations, code skeletons, deploy commands, and a cost projection.
wrangler.tomlwrangler.toml with all bindings, routes, and compatibility flagswrangler dev --remote (real bindings)test cases passed, vs 1 / 23 without
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