skbx speaks first to Linux networking engineers, kernel and eBPF developers, SREs, and platform engineers investigating packet-path failures. They already understand hooks, namespaces, tunnels, drops, verifier constraints, and observability trade-offs. They value exact evidence over broad promises.
AI agents are an important secondary audience. The interface should make the agent-first contract legible through deterministic commands, schemas, stable handles, replay, explicit loss telemetry, and strict stdout/stderr behavior.
- Understand within seconds that skbx traces where a packet traveled inside Linux and preserves replayable evidence.
- Copy the install command and run a first trace.
- Follow the evidence lifecycle: capture, event handle, replay, route handle, and explanation.
- Inspect the trust model, performance bounds, and machine-readable contracts.
- Open the repository, read the technical documentation, or contribute.
- Forensic — claims are backed by handles, telemetry, schemas, and evidence.
- Kinetic — packet movement creates the narrative and visual rhythm.
- Kernel-native — direct, technically literate, and free of generic AI marketing language.
The website is a “Packet Flight Recorder.” One packet is the protagonist of a scroll-driven story through ingress, kernel hooks, transformations, drops, capture, replay, and explanation. Particle motion must resolve into meaningful routes and evidence rather than act as decoration.
Use an ink-dark technical field with phosphor chartreuse and safety orange as signal colors. Avoid the familiar cyan/purple AI palette, gradient text, glassmorphism, generic card grids, and excessive rounded containers. Favor editorial composition, diagnostic annotations, topology lines, evidence labels, and deliberate asymmetry.
The signature interaction is a packet moving through a scroll-linked kernel route. Supporting motion should clarify state transitions, reveal evidence, and reinforce causality. Prefer transform and opacity animation with decisive exponential easing; avoid bounce or elastic movement.
Desktop may be cinematic, but the experience must remain fast and legible on
mobile. Expensive animation should pause offscreen, adapt to viewport size, and
degrade to a lightweight static route. Honor prefers-reduced-motion without
hiding content.
Lead with: “See where the packet went—and keep the receipts.”
The primary action is copying the install command and tracing a first packet. Secondary actions are exploring the evidence model, viewing the GitHub repository, and contributing. Copy should use vocabulary the audience trusts: packet paths, kernel hooks, loss, replay, handles, bounded capture, schemas, and verifier-safe behavior.
The native engine is the source of truth. AI may explain evidence but never invent it. Avoid vague claims such as “revolutionary,” “AI-powered observability,” or “effortless debugging.”