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Spring Boot Resilience4J

Checked
giuseppe-trisciuoglio·vlatest·backend·MIT

This skill implements Spring Boot's Resilience4J for building resilient microservices by handling failures and circuit breaking gracefully, improving application stability.

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  1. 1

    Run this in your project

    terminal
    $ npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-boot-resilience4j -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

giuseppe-trisciuoglio

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Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

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  • Pinned to a commit: passed

    Scanned giuseppe-trisciuoglio/developer-kit at fe73fb33a0.

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Commit
fe73fb33a0
Manifest
plugins/developer-kit-java/skills/spring-boot-resilience4j/SKILL.md
Scanned
4 files, 1,658 lines
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About this skill

What it does

This skill integrates Resilience4j into a Spring Boot application, enabling developers to implement resilience patterns such as retries, circuit breakers, and rate limiting. It provides tools for handling failures gracefully in microservices and distributed systems.

When to use it

  • When building a Spring Boot application that requires fault tolerance in external service calls.
  • When designing microservices that need to handle transient failures or latency issues.
  • When implementing strategies like retrying failed requests or limiting request rates to prevent overload.

Key capabilities

  • Integration of Resilience4j with Spring Boot
  • Support for circuit breakers, retries, and rate limiting
  • Configuration through annotations or beans for flexibility

Example prompts

  • "Add a circuit breaker to the external API call in my Spring Boot service."
  • "Implement retry logic for failed database queries using Resilience4j."
  • "Configure rate limiting on a REST endpoint in a Spring Boot application."

Tips & gotchas

  • Ensure that your project includes both Spring Boot and Resilience4j dependencies.
  • Be mindful of the configuration parameters (e.g., retry limits, timeout settings) to avoid unintended behavior or performance issues.