agents-sdk
by cloudflareagents-sdk helps you build Cloudflare Workers agents with stateful conversations, durable execution, WebSocket or streaming chat, MCP integration, scheduled tasks, and browser automation. This agents-sdk skill focuses on install decisions, configuration, and practical usage for existing or new Workers apps, with guidance for multi-agent systems only when they fit Cloudflare runtime constraints.
This skill scores 84/100, which means it is a solid directory listing candidate for users building Cloudflare Agents projects. The SKILL.md gives a strong trigger condition, clear retrieval-first guidance, and enough structured workflow references for agents to execute with less guesswork than a generic prompt, though some adoption details still require consulting the linked docs.
- Clear triggerability for many Agents SDK tasks: stateful agents, Workflows, WebSocket apps, MCP servers, voice, browser automation, and more.
- Good operational scaffolding with a valid frontmatter, many topic-specific references, and explicit docs URLs for retrieval-first use.
- Strong install-decision value because it covers configuration, state, RPC, durable execution, and client hooks in a way that supports real implementation work.
- No install command in SKILL.md, so users still need to determine package/setup steps from the documentation links.
- Several reference files are partial excerpts and some topics are marked experimental, so agents may still need doc retrieval for edge cases and advanced flows.
Overview of agents-sdk skill
What agents-sdk is for
The agents-sdk skill helps you build Cloudflare Workers-based agents with the Agents SDK when you need stateful conversation, durable execution, WebSocket or real-time interaction, scheduled work, MCP integration, or browser-driven automation. The agents-sdk skill is best for readers who want a practical install decision: can this SDK support the job, what configuration is required, and what should be read first before coding.
Best-fit use cases
Use agents-sdk when you are creating a production Worker that needs persistent agent state, callable methods, typed client access, queue-backed workflows, retries, observability, or React client hooks. It is a strong fit for agents-sdk for Multi-Agent Systems only when those agents live inside Cloudflare’s runtime and share Worker/Durable Object constraints.
What makes it different
This skill is not a generic prompt for “build an agent.” It is tied to Cloudflare’s implementation details: Durable Objects, wrangler.jsonc, migrations, nodejs_compat, and API-specific patterns like @callable(), runFiber, and useAgent. That means the main adoption risk is configuration, not concept design.
How to Use agents-sdk skill
Install and verify the right context
Run the agents-sdk install step with the skills manager, then confirm you are working in a Cloudflare Workers repo rather than a standalone chat app. The baseline install pattern is:
npx skills add cloudflare/skills --skill agents-sdk
After install, start with SKILL.md, then inspect references/configuration.md, references/client-sdk.md, references/callable.md, and references/durable-execution.md first. Those files answer the questions that usually block adoption: bindings, migrations, client connection, and how state survives restarts.
Turn a rough goal into a useful prompt
The skill works better when your prompt names the runtime shape, not just the feature. Good input includes:
- the agent type: chat agent, workflow agent, voice agent, browser agent, or MCP server
- whether it is greenfield or added to an existing Workers app
- the client surface: React hook, plain JS client, RPC, email, or WebSocket
- the persistence need: simple state, durable execution, or queue/retry flow
Example of a stronger agents-sdk usage request:
“Add a Cloudflare Worker agent that stores per-user state, exposes one callable method, and streams chat responses through a React client. Use the current Agents SDK configuration rules and show the required wrangler.jsonc changes.”
Read the repo in the right order
For most installs, the highest-value path is:
SKILL.mdfor the supported patterns and retrieval sourcesreferences/configuration.mdfor bindings, migrations, and local dev setupreferences/callable.mdandreferences/client-sdk.mdfor client/server interactionreferences/state-scheduling.md,references/workflows.md, orreferences/durable-execution.mdif your app needs persistence or long-running workreferences/observability.mdandreferences/queue-retries.mdif reliability matters
Practical tips that change output quality
Give the skill your existing wrangler.jsonc, current agent class name, and the exact path where the new code should live. Mention if you already use React, Workers AI, or MCP. Also say whether you need a minimal working example or an integration patch, because the SDK’s configuration details differ a lot between those two goals.
agents-sdk skill FAQ
Is agents-sdk only for new projects?
No. The agents-sdk guide supports both new Workers apps and existing projects, but existing repos need more careful configuration review. If you already have bindings, migrations, or a custom build stack, provide those details up front so the skill can fit into the current setup.
Do I need to know Cloudflare already?
Basic Cloudflare familiarity helps, but the skill is useful if you can follow configuration instructions and read wrangler.jsonc. Beginners usually do fine when they start with one narrow target, such as a single agent with one client path, instead of trying to build a full multi-agent system on day one.
When should I not use agents-sdk?
Do not use agents-sdk if you only need a stateless API wrapper, a single LLM call, or a provider-agnostic chatbot with no Cloudflare runtime dependency. It is also a poor fit if you cannot use Durable Objects, Workers constraints, or Cloudflare-specific deployment flow.
How is this different from a normal prompt?
A normal prompt may describe an agent conceptually, but agents-sdk is grounded in Cloudflare’s actual API surface and deployment rules. That reduces guesswork around @callable(), state, migrations, and client hooks, which is where generic guidance often fails.
How to Improve agents-sdk skill
Give the exact deployment shape
The biggest quality jump comes from specifying whether the agent runs in a single Worker, uses multiple Durable Object classes, exposes RPC, or needs a browser/MCP integration. If you want better agents-sdk usage, include the expected entrypoints, event sources, and state model instead of saying only “build an agent.”
Share configuration and constraint details
The most common failure mode is incomplete Cloudflare context. Provide your wrangler.jsonc, compatibility flags, Durable Object bindings, migration state, and any local dev requirements. If the skill can see those constraints, it can avoid suggestions that would break deployment.
Iterate from a working thin slice
Ask for one narrow end-to-end path first: install, config, one agent class, one client call, one state update. Then extend to queues, workflows, streaming, or observability only after the first path works. This is the fastest way to validate that the agents-sdk skill matches your app and to catch mismatch in bindings or runtime assumptions early.