Agent skill

hsb-flash

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexcan modify filesships scriptsApache-2.0
Install
npx skills add NVIDIA/skills --skill hsb-flash --agent claude-code

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

Facts
Files in the skill folder: 17
SKILL.md size: 17 KB
Bundled scripts: yes
Version: 1.0.0
Declared author: Holoscan Team <holoscan-team@nvidia.com>
Allowed tools: ReadWriteEditMultiEditGrepGlobBash
Path: skills/hsb-flash/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 FPGA Flash Use this skill when the user wants to flash (upgrade or downgrade) the FPGA firmware on an HSB board connected to a supported NVIDIA devkit. **This skill supports two board types:** 1. **HSB Lattice boards** — standalone FPGA board with a Lattice CPNX100 FPGA 2. **Leopard Imaging VB1940** — "all-in-one" camera with an integrated Lattice FPGA **CRITICAL SAFETY RULE: Never mix board

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About this skill
What does the hsb-flash skill do?

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.

How do I install it?

Run `npx skills add NVIDIA/skills --skill hsb-flash --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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