verilog-vhdl-design

Automate Verilog and VHDL RTL design workflows with testbench coverage and diagnostics.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill verilog-vhdl-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: verilog-vhdl-design
Source: https://github.com/GhostOf0days/codex-quant-skills/tree/main/verilog-vhdl-design
Command: npx skills add https://github.com/GhostOf0days/codex-quant-skills --skill verilog-vhdl-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the design, implementation, and verification of Verilog and VHDL hardware description language modules, ensuring deterministic performance and robust control for quantitative research and production environments.

Core Features & Use Cases

  • Synthesizable RTL Design: Create hardware modules that can be synthesized into physical circuits.
  • Deterministic State Machines: Implement complex state machines with predictable behavior.
  • Testbench Development: Generate comprehensive testbenches to ensure design correctness and coverage.
  • Performance Optimization: Focus on end-to-end latency, tail-latency reduction, and throughput stability.
  • Use Case: When developing a high-frequency trading system's network interface card (NIC) logic, use this Skill to design the RTL, instrument its performance, and verify its behavior under extreme load conditions.

Quick Start

Use the verilog-vhdl-design skill to run diagnostics on the input file 'trade_data.csv' and save the output to 'diagnostics.json'.

Frequently Asked Questions about verilog-vhdl-design

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

FAQPage Schema
How do I design synthesizable RTL modules for FPGA and ASIC?

Synthesizable RTL modules are designed by automating Verilog and VHDL workflows to create physical circuits, implementing deterministic state machines, and ensuring predictable behavior for production environments.

How do I run diagnostics on CSV data to verify hardware performance?

You can run hardware verification diagnostics on a CSV file, such as 'trade_data.csv', to analyze latency, jitter, throughput, and packet-loss recovery, saving the extracted metrics to a JSON output file.

Can I use this to verify RTL design under burst and failover scenarios?

Yes, you can verify RTL design under extreme load conditions by running stress tests that simulate burst traffic and failover scenarios to ensure robust control and deterministic performance.

What is the best way to optimize high-frequency trading NIC logic for tail-latency?

Optimizing high-frequency trading NIC logic requires focusing on end-to-end latency, tail-latency reduction, and throughput stability while instrumenting performance diagnostics for resource saturation.

Do I need pandas to generate testbench coverage for VHDL modules?

Yes, pandas is required as a dependency to process input data and generate comprehensive testbenches that ensure VHDL design correctness and coverage under various stress scenarios.

How do I decompose latency and jitter in a deterministic state machine?

Latency and jitter are decomposed using specific diagnostics that analyze performance targets within deterministic state machines, identifying bottlenecks related to resource saturation and packet-loss recovery.