verilog-generator — Codex Skill by Eriemon

by Eriemon · Codex Skill · ★ 165

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About verilog-generator

English  |  中文 Verilog Generator A Codex-ready agent skill for disciplined Verilog-2001 RTL workflows. Verilog Generator turns an AI coding agent into a more reliable RTL engineering assistant. It provides trigger metadata, workflow instructions, interface templates, deterministic runtime helpers, examples, and validation gates for moving from confirmed hardware intent to synthesizable Verilog and self-checking testbenches. This repository is primarily an agent skill package. The Python CLI is included as the deterministic execution layer, but the main interface is the skill surface an agent can load and follow. Why It Exists RTL work needs precision before code. V

agent-skillcodex-skilledafpgahardware-generationrtlverilog

Quick Facts

Stars165
Forks5
LanguagePython
CategoryCodex Skill
LicenseApache-2.0
Quality Score55.292/100
Last Updated2026-06-10
Created2026-05-08
Platformscodex, python
Est. Tokens~49k

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Frequently Asked Questions

What is verilog-generator?

verilog-generator is Agent skill for Verilog-2001 RTL generation and FPGA design workflows.. It is categorized as a Codex Skill with 165 GitHub stars.

What programming language is verilog-generator written in?

verilog-generator is primarily written in Python. It covers topics such as agent-skill, codex-skill, eda.

How do I install or use verilog-generator?

You can find installation instructions and usage details in the verilog-generator GitHub repository at github.com/Eriemon/verilog-generator. The project has 165 stars and 5 forks, indicating an active community.

What license does verilog-generator use?

verilog-generator is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to verilog-generator?

The top alternatives to verilog-generator on Agent Skills Hub include AI-bounty-skill, vivado-mcp, Agentic-SEO-Skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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