discover-ebpf

Automatically discover and activate eBPF-related skills during eBPF development tasks.

126|7|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/rand/cc-experiments --skill discover-ebpf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: discover-ebpf
Source: https://github.com/rand/cc-experiments/tree/main/skills/discover-ebpf
Command: npx skills add https://github.com/rand/cc-experiments --skill discover-ebpf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Working with eBPF and kernel-level programming can be highly complex and niche. This skill simplifies the learning curve by providing immediate access to specialized knowledge on eBPF fundamentals, networking, security, tracing, and observability.

Core Features & Use Cases

  • eBPF Expertise: Covers eBPF fundamentals, networking, security monitoring, and tracing for system observability.
  • Contextual Activation: Automatically activates when you're involved in eBPF development tasks, offering relevant guidance.
  • Use Case: When debugging a network performance issue, this skill can help you understand how to use eBPF for network tracing and identify bottlenecks at the kernel level.

Quick Start

Explain the fundamentals of eBPF and how it can be used for system tracing.

Frequently Asked Questions about discover-ebpf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is eBPF and how does it enable kernel-level tracing?

eBPF (extended Berkeley Packet Filter) is a virtual machine in the Linux kernel that runs sandboxed programs without modifying kernel code. It enables real-time tracing, monitoring, and observability by attaching to kernel events, network packets, and system calls, providing low-overhead visibility into system behavior.

How do I use eBPF to debug network performance issues?

eBPF allows you to attach tracing programs directly to network events and kernel functions to capture packet flows, latency, and throughput metrics. You can monitor network stack behavior in real time, identify bottlenecks at the kernel level, and trace specific connections without application changes.

Can I use eBPF for security monitoring and threat detection?

Yes. eBPF programs can monitor system calls, file access, process execution, and network connections in real time. Security applications use eBPF to detect suspicious behavior, enforce policies, and collect audit logs with minimal performance overhead compared to traditional kernel module approaches.

What's the difference between eBPF and traditional kernel tracing tools?

eBPF provides dynamic, low-overhead in-kernel execution without recompilation or kernel module loading, whereas traditional tools like kprobes or tracepoints require more setup. eBPF enables safer custom logic execution directly in the kernel and supports observability at scale with reduced latency.

Do I need kernel programming experience to work with eBPF?

While kernel knowledge helps, eBPF programs are typically written in C or higher-level languages and use helper functions to access kernel data safely. The learning curve is steep for advanced use cases, but fundamental tracing and observability tasks are accessible to systems engineers familiar with networking and Linux.

What are the limitations of eBPF for system observability?

eBPF has stack space constraints, cannot make all kernel function calls, and requires Linux kernel 4.4 or later. Complex logic may hit verification limits, and debugging requires specialized tools. High-frequency tracing can impact performance despite eBPF's efficiency advantages.