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@41e0d19 official
by cloudflarecloudflare/skills3k stars
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Build, debug, or review Cloudflare Agents SDK applications using the agents package.

Use this Skill: https://skilld.dev/gh/cloudflare/skills/agents-sdk

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referencesqueue-retries.md

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Queue & Retries

Read the current Cloudflare documentation for queue management, retry options, defaults, and callback examples.

Task Documentation
Enqueue, inspect, and remove background work; understand sequential processing and failure handling Queue tasks
Retry an operation or configure retries for queued and scheduled callbacks Retries
Delay recovery or run work on a recurring schedule Schedule tasks

Keep these execution choices in mind when using the linked guides:

  • Use the built-in queue for sequential background work. Retries block later queue items; use scheduling for long recovery waits.
  • Retry delays keep the Durable Object active. Choose retry budgets with execution cost and latency in mind.
  • Queued items are removed after their retry budget is exhausted; there is no built-in dead-letter queue. Record failures explicitly when the application needs recovery or auditing.
  • The selective retry predicate is available on this.retry(), not serialized queue or schedule options. Handle non-retryable errors in those callbacks.

See state-scheduling.md for choosing schedule modes and persisting application state.

Source: SKILL.md on GitHub

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    This skill provides reference documentation and configuration guidelines for building, debugging, and reviewing applications using the Cloudflare Agents SDK. It consists entirely of educational markdown files and contains no executable code or security risks.

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Signed by skilld at 41e0d19. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 10 hours ago.

Activeupdated 11 hours ago
  • MCP
  • cloudflare
  • workers
  • agents
  • state-management
  • websocket
  • durable-objects
  • scheduling
  • workflows
  • observable

README badge

README badge for cloudflare/skills/agents-sdk

Builds stateful AI agents on Cloudflare Workers using Durable Objects, with APIs for persistent state, callable RPC methods, scheduling, workflows, durable execution, queues, and streaming chat. Covers the full lifecycle of agent development from configuration through observability, with experimental support for voice, browser automation, and MCP integration.

Generated from the current SKILL.md.

Does this work with existing Cloudflare Workers projects?
Yes. Use the 'Add to existing project' guide to install the SDK into an existing Workers app. You'll need to configure durable objects and migrations in wrangler.jsonc.
What state management does the SDK provide?
SQLite-backed persistent state that auto-syncs to clients via setState(). State changes trigger validateStateChange() and onStateUpdate() hooks, and the SDK includes built-in SQL query support.
Can I use this with chat applications?
Yes. The SDK includes AIChatAgent for streaming chat with tools, message persistence, and resumable streams. It requires @cloudflare/ai-chat and ai packages.
Does this support background workflows and scheduled tasks?
Yes. The SDK provides AgentWorkflow for durable multi-step tasks, schedule() / scheduleEvery() for one-time and recurring tasks, and runFiber() for work that survives durable object eviction.
Can I connect to external MCP servers or build MCP servers with this?
Yes. The SDK includes MCP client integration to connect to external MCP servers and McpAgent to build MCP servers with configurable transports (HTTP, SSE, RPC).

Generated from the current SKILL.md. These answers refresh after source changes.