workers-performance

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.

1.31x

Quality

88%

Does it follow best practices?

Impact

75%

1.31x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

73%

11%

Product Catalog API — Edge Caching Layer

Multi-layer caching with Cache API

Criteria

Without context

With context

Cache API usage

100%

90%

Non-blocking cache write

100%

50%

Cache key normalization

62%

100%

Tracking param removal

100%

In-memory layer

100%

Multi-layer ordering

37%

100%

s-maxage header

stale-while-revalidate

stale-if-error

57%

100%

Cache clone for storage

100%

50%

KV as fallback layer

100%

No request.clone() misuse

100%

62%

34%

Log Ingestion and Analytics Pipeline Worker

Streaming and CPU-efficient data processing

Criteria

Without context

With context

No response buffering

100%

Streaming JSON parser

No clone() misuse

100%

D1 batch pagination

30%

Parallel batch processing

33%

Filter before transform

71%

100%

Server-Timing header

100%

performance.now() timing

100%

TransformStream usage

Batch KV/D1 ops

60%

100%

Array join over concat

100%

92%

Media Processing API — Performance-Optimized Worker Setup

Bundle optimization and cold start reduction

Criteria

Without context

With context

No wildcard lodash import

100%

Lightweight date library

100%

Native UUID generation

100%

Native fetch over axios

100%

Named exports

100%

sideEffects false

esbuild minify

100%

esbuild treeShaking

100%

Drop console in build

100%

Dynamic imports for heavy routes

100%

Lazy initialization

100%

Lazy singleton for connections

75%

100%

ctx.waitUntil for background work

100%

Repository: secondsky/claude-skills
Commit: 90d6bd7

Evaluated: 29 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Product Catalog API — Edge Caching Layer Log Ingestion and Analytics Pipeline Worker Media Processing API — Performance-Optimized Worker Setup

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