Agent skill · AI & Agents

nemo-relay-instrument-typed-wrappers

Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add NVIDIA/skills --skill nemo-relay-instrument-typed-wrappers --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 3 KB
Bundled scripts: none
Declared author: NVIDIA Corporation and Affiliates
Path: skills/nemo-relay-instrument-typed-wrappers/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

# Use Typed Wrappers And Codecs Use this skill when an application wants stronger domain types than raw JSON for tool or LLM integration. Keep typed boundaries explicit so middleware still sees predictable JSON. ## Default Guidance - Prefer plain JSON first for initial adoption. - Reach for typed wrappers when the application already has stable domain models. - Keep in mind that middleware still o

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About this skill
What does the nemo-relay-instrument-typed-wrappers skill do?

Use this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.

How do I install it?

Run `npx skills add NVIDIA/skills --skill nemo-relay-instrument-typed-wrappers --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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