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Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.

Use this Skill: https://skilld.dev/gh/davila7/claude-code-templates/cloudflare-deploy

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referenceskvREADME.md

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Cloudflare Workers KV

Globally-distributed, eventually-consistent key-value store optimized for high read volume and low latency.

Overview

KV provides:

  • Eventual consistency (60s global propagation)
  • Read-optimized performance
  • 25 MiB value limit per key
  • Auto-replication to Cloudflare edge
  • Metadata support (1024 bytes)

Use cases: Config storage, user sessions, feature flags, caching, A/B testing

When to Use KV

Need Recommendation
Strong consistency → Durable Objects
SQL queries → D1
Object storage (files) → R2
High read, low write volume → KV ✅
Sub-10ms global reads → KV ✅

Quick comparison:

Feature KV D1 Durable Objects
Consistency Eventual Strong Strong
Read latency <10ms ~50ms <1ms
Write limit 1/s per key Unlimited Unlimited
Use case Config, cache Relational data Coordination

Quick Start

wrangler kv namespace create MY_NAMESPACE
# Add binding to wrangler.jsonc
// Write
await env.MY_KV.put("key", "value", { expirationTtl: 300 });

// Read
const value = await env.MY_KV.get("key");
const json = await env.MY_KV.get<Config>("config", "json");

Core Operations

Method Purpose Returns
get(key, type?) Single read string | null
get(keys, type?) Bulk read (≤100) Map<string, T | null>
put(key, value, options?) Write Promise<void>
delete(key) Delete Promise<void>
list(options?) List keys { keys, list_complete, cursor? }
getWithMetadata(key) Get + metadata { value, metadata }

Consistency Model

  • Write visibility: Immediate in same location, ≤60s globally
  • Read path: Eventually consistent
  • Write rate: 1 write/second per key (429 on exceed)

Reading Order

Task Files to Read
Quick start README → configuration.md
Implement feature README → api.md → patterns.md
Debug issues gotchas.md → api.md
Batch operations api.md (bulk section) → patterns.md
Performance tuning gotchas.md (performance) → patterns.md (caching)

In This Reference

  • configuration.md - wrangler.jsonc setup, namespace creation, TypeScript types
  • api.md - KV methods, bulk operations, cacheTtl, content types
  • patterns.md - Caching, sessions, rate limiting, A/B testing
  • gotchas.md - Eventual consistency, concurrent writes, value limits

See Also

  • workers - Worker runtime for KV access
  • d1 - Use D1 for strong consistency needs
  • durable-objects - Strongly consistent alternative

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The skill is a comprehensive documentation and reference suite for deploying applications and infrastructure to the Cloudflare platform. It provides detailed technical guidance, code snippets, and architectural patterns for various services including Workers, Pages, D1, R2, and AI Gateway. No malicious patterns, obfuscation, or unauthorized data access were detected.

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Last checked against GitHub 15 hours ago.

Activeupdated 8 months ago
author
openai

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