314-frameworks-spring-kafka
Use when you need to design or implement Kafka messaging in Spring Boot — including topic design, producer/consumer implementation, JSON serialization with Boot factory customizers, Testcontainers `@ServiceConnection` integration tests, retries and dead-letter topics, idempotency, and error handling. This should trigger for requests such as Add Kafka in Spring Boot; Review Spring Kafka consumers; Improve retries and DLT in Spring Kafka; Configure Spring Kafka topics serializers or listener containers; Add Spring Kafka dead-letter topic handling. Part of Plinth Toolkit
Works with
--- name: 314-frameworks-spring-kafka description: Use when you need to design or implement Kafka messaging in Spring Boot — including topic design, producer/consumer implementation, JSON serialization with Boot factory customizers, Testcontainers `@ServiceConnection` integration tests, retries and dead-letter topics, idempotency, and error handling. This should trigger for requests such as Add Kafka in Spring Boot; Review Spring Kafka consumers; Improve retries and DLT in Spring Kafka; Configure Spring Kafka topics serializers or listener containers; Add Spring Kafka dead-letter topic handling. Part of Plinth Toolkit license: Apache-2.0 --- # Spring Boot — Kafka messaging Apply Spring Kafka guidance with concrete examples for design, implementation, and error handling. ## Constraints Compile before messaging refactors; verify after changes. - **MANDATORY**: Run `./mvnw compile` or `mvn compile` before applying any change - **SAFETY**: If compilation fails, stop immediately - **VERIFY**: Run `./mvnw clean verify` or `mvn clean verify` after applying improvements - **BEFORE APPLYING**: Read the reference for detailed rules and examples ## When to use this skill - Add Kafka in Spring Boot - Review Spring Kafka consumers/producers - Improve retries, dead-letter topics, or idempotency in Spring Kafka - Configure Spring Kafka topics serializers or listener containers - Add Spring Kafka dead-letter topic handling ## Workflow 1. **Read reference and assess project context** Read `references/314-frameworks-spring-kafka.md` and inspect current messaging setup before proposing changes. 2. **Gather scope and decide target improvements** Identify reliability and throughput goals and define the minimum safe set of changes. 3. **Apply framework-aligned changes** Implement/refactor Spring Kafka configuration, producer/consumer logic, and failure handling. 4. **Run verification and report results** Execute build/tests and summarize what changed, what was verified, and follow-up actions. ## Reference For detailed guidance, examples, and constraints, see [references/314-frameworks-spring-kafka.md](references/314-frameworks-spring-kafka.md).
More Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

