What does the Exa Reliability Patterns skill do?

It provides standardized code patterns and implementation steps to make Exa API integrations more resilient, handling errors, timeouts, and retries automatically.

How does this skill handle Exa API downtime?

It implements a circuit breaker that 'opens' during downtime to prevent system resource exhaustion and uses fallback functions to provide cached or default data.

Which libraries are required for these patterns?

The patterns utilize popular Node.js libraries such as Opossum for circuit breakers, P-Queue for bulkhead management, and standard crypto modules for idempotency.

What is the purpose of the Dead Letter Queue (DLQ) in this skill?

The DLQ captures requests that have failed all retry attempts, allowing developers to investigate the root cause and manually or programmatically reprocess them later.

Can I prioritize certain Exa requests over others?

Yes, the Bulkhead pattern included in this skill allows you to separate critical, normal, and bulk operations into different queues with dedicated concurrency limits.

Exa Reliability Patterns

Name: Exa Reliability Patterns
Author: Brmbobo

byBrmbobo

API開発

Implements production-grade fault tolerance and resilience patterns for robust Exa AI integrations.

概要

This skill equips Claude with specialized implementation patterns for building mission-critical services using the Exa API. It provides structured logic for circuit breakers via Opossum, deterministic idempotency keys for duplicate prevention, and bulkhead isolation to prioritize API traffic. By incorporating these reliability standards, developers can ensure their Exa-powered applications remain stable under heavy load, handle transient network failures gracefully, and maintain data integrity using Dead Letter Queues (DLQ) and fallback caching strategies.

主な機能

Circuit breaker implementation using Opossum to prevent cascading system failures
0 GitHub stars
Bulkhead pattern configuration for isolating and prioritizing API traffic
Deterministic idempotency key generation for safe request retrying
Graceful degradation logic with automated fallback and stale-data caching
Dead Letter Queue (DLQ) structures for managing and auditing permanent failures

ユースケース

Adding enterprise-grade resilience to production SaaS applications integrating Exa
Building high-availability search services and web intelligence tools powered by Exa
Implementing robust retry logic for sensitive data processing pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast exa-reliability-patterns

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要