Design, run, and analyze tests for distributed systems reliably.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "distributed-system-testing" yet — see the docs or source repo.
Design a distributed fault injection test plan for an e-commerce system with an API gateway, order service, inventory service, and Kafka. Cover network latency, service restarts, duplicate message delivery, and partial node outages. Output test goals, steps, observability metrics, and pass criteria.
A structured test plan with failure scenarios, execution steps, metrics, and acceptance criteria.
Here are service logs, traces, and database write records from a distributed system load test. Determine whether there are eventual consistency issues, duplicate consumption, or idempotency defects, and provide likely root causes and fix recommendations.
An analysis summarizing issue types, evidence, root-cause hypotheses, and remediation directions.
Generate a Python automation script framework for a microservices distributed testing scenario. It should support concurrent requests, retry validation, service health checks, result aggregation, and assertions on Redis and message queue states.
An extensible test script skeleton with core modules, key functions, and assertion logic.
Design, integrate, and optimize AI agent skills for production applications.
Find software bugs, diagnose causes, and suggest practical code fixes.
Learn to design and apply AI skills in real agent systems.
Analyze game design, structure concepts, and evolve AI workflows with evidence.
Find curated QA skills for AI coding agents and testing workflows.
Turn AI agents into GitOps engineers for deployment and operations automation.