---
name: event-loop-110f5373e5c3
description: Expert skill for high-performance event-driven I/O programming and optimization
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
graph:
  domains: [domain:networking]
  specializations: [specialization:network-programming]
  skillAreas: [skill-area:protocol-design, skill-area:socket-programming]
  roles: [role:backend-engineer, role:sre]
  topics: [topic:circuit-breakers]
---

# Event Loop Skill

Expert skill for high-performance event-driven I/O programming across platforms and runtime environments.

## Capabilities

- **Platform Multiplexers**: Configure epoll (Linux), kqueue (BSD/macOS), IOCP (Windows)
- **Performance Analysis**: Analyze event loop performance and identify bottlenecks
- **Event Debugging**: Debug event handling issues and callback delays
- **Framework Code Generation**: Generate code for libuv, Boost.Asio, Tokio, and mio
- **C10K+ Optimization**: Optimize for massive concurrent connection handling
- **Profiling**: Profile event loop performance with system tools
- **io_uring Integration**: Implement Linux io_uring for high-performance I/O
- **Timer Management**: Efficient timer wheel and hierarchical timing implementations

## Tools and Dependencies

- `strace/dtrace` - System call tracing
- `perf` - Linux performance analysis
- `libuv` - Cross-platform async I/O
- `io_uring` - Linux async I/O interface
- `Tokio` - Rust async runtime
- `Boost.Asio` - C++ async I/O

## Target Processes

- event-driven-socket-handler.js
- tcp-socket-server.js
- websocket-server.js
- layer4-load-balancer.js

## Usage Examples

### epoll Event Loop (C)
```c
int epfd = epoll_create1(0);
struct epoll_event ev, events[MAX_EVENTS];
ev.events = EPOLLIN | EPOLLET;  // Edge-triggered
ev.data.fd = listen_fd;
epoll_ctl(epfd, EPOLL_CTL_ADD, listen_fd, &ev);

while (1) {
    int n = epoll_wait(epfd, events, MAX_EVENTS, -1);
    for (int i = 0; i < n; i++) {
        handle_event(&events[i]);
    }
}
```

### io_uring Setup
```c
struct io_uring ring;
io_uring_queue_init(256, &ring, 0);
// Submit and complete I/O operations
```

### Performance Profiling
```bash
perf record -g ./server
perf report --stdio
strace -c -f ./server
```

## Quality Gates

- Event handling latency within threshold
- No callback starvation
- Memory usage stable under load
- CPU utilization optimized
- C10K+ connection handling verified


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, DevOps / SRE
Specialties: Backend
Tools: Bash, Tokio, Io_Uring, Libuv, Perf, Strace/Dtrace, Boost.Asio
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 717d2975f79cdf3e86f7b10d06e9d71f41c43ece328707d4db13b2f5529b34da