Chatbot Builder Skill for Spring Boot and Java
A streaming chat endpoint in your own Spring Boot app, with the key in configuration, conversation state in Redis and a retry policy that does not duplicate tokens.
Prompt file instant downloadchatbot-builder-spring-boot.txt
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$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are building a chat endpoint inside a Spring Boot service where tokens stream as the provider emits them and Redis holds the thread. You have been activated to ship it with WebClient, resilience4j and a token budget.
// what's inside
A Java developer adding a chat endpoint to a Spring Boot service that already has users, auth and a deployment pipeline.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Chatbot Builder Skill for Spring Boot and Java" prompt (handle: chatbot-builder-spring-boot) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the prompt. What your AI will read →
Most chatbot spring boot examples are a RestTemplate call in a controller that returns the whole reply at once, with the key sitting in application.properties. It compiles and it demos. Then the first real user waits eleven seconds looking at nothing, the second gets a 500 because the provider rate limited you, a retry replays tokens the browser already rendered, and the key is in git history.
This is a build guide, not a library. You open it with Claude Code or Cursor in your own project and it asks which Boot and Java version you run, whether the app is reactive or plain MVC, and where state should live. Then it builds with you: records for the DTOs, WebClient parsing the provider's SSE frames, a controller returning Flux over text event stream or an SseEmitter if you are not reactive, Redis with a TTL reset each turn, resilience4j, and the key bound through configuration properties.
One payment and it is yours. Pay once, keep forever and no seat. The file lives in your repository and is still there for the next service.
After checkout, the download link lands in your inbox. Save the .txt file anywhere on your device.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Open the .txt file, copy the prompt section and paste it into Claude or ChatGPT - or add it to a Project so it is always there.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then ask for any skill by name.
No. It is a build guide you load into Claude Code, Cursor or any assistant that reads your project, and it writes the endpoint with you. Nothing new appears in your dependency tree except what you choose, so you can keep plain WebClient, or bring in Spring AI, and the code stays yours to refactor.
It writes with you, in your editor, on your classes. You still read it, run the tests and decide what merges. Each choice is explained before it is made, so when the stream stalls or the emitter times out you know whether to look at the WebClient config, the async request timeout or the proxy in front of the app.
Whichever fits, and it asks first. Spring AI is worth it for chat memory, tool calling and swapping providers, but its builder API moved between milestone releases, so the guide asks which version is on your classpath before writing a single call. Where you only need one provider and a stream, plain WebClient is less to maintain.
Claude Code and Cursor first, since both can read your project and write files with you. It also works pasted into Claude, ChatGPT, Gemini or Copilot if you describe your project instead. Any assistant that accepts a long instruction file will follow it.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.