Nvidia Nixl
NVIDIA Inference Xfer Library (NIXL) operator + developer reference. Point-to-point KV-cache and tensor transport for distributed inference (Dynamo, vLLM, SGLang). Covers the C++/Python/Rust agent API, all 13 backend plugins (UCX, GDS, GDS_MT, libfabric, mooncake, posix, hf3fs, obj/S3, azure_blob, gusli, uccl, gpunetio/DOCA, telemetry), build paths (pip nixl-cu12/cu13, meson+ninja from source), ETCD vs side-channel metadata, telemetry (Prometheus + cyclic shared-memory), NIXL-EP elastic MoE device kernels, and Dynamo / vLLM NixlConnector / SGLang integration patterns.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
Target audience: operators wiring NIXL into Dynamo/vLLM/SGLang clusters, plugin authors writing new backends, developers using the agent API directly from Python/C++/Rust. Assumes datacenter-class GPUs (H100/H200/B200/B300) with NVIDIA driver, CUDA 12.8+, RDMA NIC (Mellanox/EFA) for cross-node, and Linux (Ubuntu 22.04/24.04 or Fedora). macOS and Windows are not supported.
What this skill does
Nvidia Nixl is a community-contributed Claude Code skill in the ide-editor sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/nvidia-nixl/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The Nvidia Nixl Claude Code skill is built for developers, power users, and teams automating repetitive workflows and improving developer experience. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 154,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/nvidia-nixl
curl -L https://claudskills.com/skills/nvidia-nixl/SKILL.md \
-o ~/.claude/skills/nvidia-nixl/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/nvidia-nixl/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/nvidia-nixl/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\nvidia-nixl\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Nvidia Nixl Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/nvidia-nixl/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Nvidia Nixl skill do?
NVIDIA Inference Xfer Library (NIXL) operator + developer reference. Point-to-point KV-cache and tensor transport for distributed inference (Dynamo, vLLM, SGLang). Covers the C++/Python/Rust agent API, all 13 backend plugins (UCX, GDS, GDS_MT, libfabric, mooncake, posix, hf3fs, obj/S3, azure_blob, gusli, uccl, gpunetio/DOCA, telemetry), build paths (pip nixl-cu12/cu13, meson+ninja from source), ETCD vs side-channel metadata, telemetry (Prometheus + cyclic shared-memory), NIXL-EP elastic MoE device kernels, and Dynamo / vLLM NixlConnector / SGLang integration patterns.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Nvidia Nixl skill?
Use Nvidia Nixl when your Claude Code task falls under the Dev Tools category — specifically in the ide editor area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Nvidia Nixl" or describe the task and let Claude pick). Browse related skills at
/category/tools/.
What is a Claude Code skill and how does the Nvidia Nixl skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Nvidia Nixl is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Dev Tools category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
ai-dynamo. (2026). Nvidia Nixl [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/nvidia-nixl/
BibTeX
@misc{nvidia-nixl-2026,
author = {ai-dynamo},
title = {Nvidia Nixl [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/nvidia-nixl/}
}
Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
[](https://claudskills.com/skills/nvidia-nixl/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/nvidia-nixl.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/nvidia-nixl.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Nvidia Nixl"></iframe>
Security scan
Grade A · scanned 2026-07-20 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/nvidia-nixl/#security)
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