Agent skill

hsb-ip-def

Generate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add NVIDIA/skills --skill hsb-ip-def --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 24
SKILL.md size: 11 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: Holoscan Team <holoscan-team@nvidia.com>
Requires: Targets HSB IP rev 16'h2604; backward-compatible with 16'h2603 (the public release rev). Prefer live HSB IP source when…
Path: skills/hsb-ip-def/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# HSB IP Def Skill ## Purpose Use this skill through four workflows: - **Generate** a `HOLOLINK_def.svh` from confirmed board requirements. - **Validate** an existing def file with the bundled validator. - **Explain / Reason** about HSB IP macros, legality, and macro-driven ports. - **Compare** two def files semantically. ## Scope This skill owns the contents of `HOLOLINK_def.svh`: `\`define` dire

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About this skill
What does the hsb-ip-def skill do?

Generate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.

How do I install it?

Run `npx skills add NVIDIA/skills --skill hsb-ip-def --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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