Does it address blocking code in async contexts?

Absolutely. It helps identify blocking operations that stall the runtime and provides solutions like using spawn_blocking for CPU-bound tasks or non-blocking alternatives.

Can it help detect deadlocks in async code?

Yes, the skill includes techniques for consistent lock ordering, using try_lock with timeouts to detect hangs, and migrating from nested locks to message passing.

How do I use this skill to find memory leaks?

It provides patterns for identifying task leaks (tasks that never exit), finding Arc reference cycles using weak references, and monitoring system memory usage within the app.

How does this skill help with tokio-console?

It provides standardized implementation patterns for console-subscriber and guidance on interpreting real-time metrics like poll duration, task spawn rates, and waker operations.

Tokio Troubleshooting & Observability

Name: Tokio Troubleshooting & Observability
Author: geoffjay

bygeoffjay

•

Analíticas y Monitorización

Diagnoses and resolves performance bottlenecks, deadlocks, and memory leaks in Rust applications using the Tokio async runtime.

This skill empowers developers to debug complex asynchronous Rust applications built on the Tokio runtime. It provides comprehensive guidance on utilizing tokio-console for real-time monitoring, identifying common deadlock patterns, detecting task leaks, and profiling performance using tracing instrumentation. Whether you are dealing with hung tasks, high CPU usage from blocking code, or unexpected memory growth, this skill provides the specific implementation patterns and best practices needed to maintain high-performance, production-grade async systems.

Características Principales

01Identification and mitigation of task and memory leaks

02Performance profiling using structured tracing and spans

032 GitHub stars

04Advanced async testing strategies including time mocking

05Deadlock detection and consistent lock ordering patterns

06Real-time runtime monitoring with tokio-console integration

Casos de Uso

01Identifying CPU-intensive blocking operations that stall the async executor

02Debugging production hangs and resource contention in high-concurrency microservices

03Optimizing Rust backends by visualizing task poll durations and waker efficiency

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add geoffjay/claude-plugins tokio-troubleshooting

For use in Claude.ai and ChatGPT

Download Skill