Use when building parallel multi-stage packet processing.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add LoopyLuci/Skills --skill packet-processing-pipeline --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: packet-processing-pipeline
title: Packet Processing Pipeline
description: Use when building parallel multi-stage packet processing.
category: networking
tags: [pipeline, packet, processing, parallel, stages, throughput]
---
# Packet Processing Pipeline
**Trigger**: Use when implementing multi-stage parallel packet processing pipeline.
**Libraries**: `rayon`, `crossbeam` (channels), `tokio`, `pnet`
**Implementation**: Pipeline stages: Capture → Parse → Classify → Filter → Log → Forward. Crossbeam channels between stages for bounded backpressure. Per-stage thread pools sized to workload: capture (pinned cores), parse (rayon parallel), classify (GPU). Batch processing: collect N packets before dispatch for amortized cost. Backpressure via bounded channels: slow stage blocks fast stage.
**Connected**: `multi-queue-capture`, `packet-capture-engine`, `protocol-identifier`, `pattern-matching-engine`, `gpu-packet-classifier`, `connection-tracker`
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.