Official agent skill

Nemo Relay Debug Runtime Integration

by NVIDIA in NVIDIA/NeMo-Relay

A skill your agent uses when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin…

OfficialApache-2.0Auto-check passed

Install Nemo Relay Debug Runtime Integration

skills CLI
$ npx skills add NVIDIA/NeMo-Relay --skill nemo-relay-debug-runtime-integration -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/NeMo-Relay nemo-relay-debug-runtime-integration --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/NeMo-Relay.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemo-relay-debug-runtime-integration .claude/skills/nemo-relay-debug-runtime-integration && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nemo-relay-debug-runtime-integration
GitHub stars
190
Token cost
~1k tokens
SKILL.md length
503 words
Files
5
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin…

  • NeMo Relay is installed
  • SKILL.md covers First Checks, Common Failure Classes, Embedded Troubleshooting Matrix and Related Skills
  • Calls uv
  • Imported but application-side runtime behavior is missing

What it does

Nemo Relay Debug Runtime Integration is an agent skill from NVIDIA/NeMo-Relay, published by the product's own GitHub organization. Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).

It works with Python. The repository describes itself as: Multi-language agent runtime and library for execution scope management, lifecycle events, and middleware on tool and LLM calls. The licence is Apache-2.0.

When your agent uses it

  • NeMo Relay is installed
  • Imported but application-side runtime behavior is missing
  • Including load failures
  • Inactive scopes

Example prompts

  • “/nemo-relay-debug-runtime-integration”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 651453f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nemo Relay Debug Runtime Integration loads about 1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/NeMo-Relay at commit 651453f, republished under its Apache-2.0 licence (© NVIDIA). 503 words, ~1,030 tokens.

Download SKILL.mdSave it as .claude/skills/nemo-relay-debug-runtime-integration/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
nemo-relay-debug-runtime-integration
description
Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.
license
Apache-2.0
metadata.author
NVIDIA Corporation and Affiliates

Debug Runtime Integration

Use this skill when NeMo Relay is present in the application but something is not working. Start by proving which runtime layer is failing before changing configuration.

First Checks

  • Can the binding or native artifact load?
  • Is there an active scope when the failing call runs?
  • Is the work happening on the expected scope stack?
  • Is the subscriber/exporter/plugin configuration actually active?
  • Did the app choose the right public API layer: managed execute vs manual lifecycle vs typed wrappers vs adaptive/plugins?

Common Failure Classes

  • Python native extension missing
  • Go dynamic library not on the loader path
  • Node native addon not built or not loading
  • Execute call outside a scope
  • Missing events because registration never happened
  • Concurrency causing the wrong scope stack to be active
  • Adaptive component never initialized or config validation ignored

Embedded Troubleshooting Matrix

  • Rust build failure: run the narrowest core build first, then expand to the affected binding or workspace command.
  • Python import failure: rebuild the virtual environment and native extension with uv sync, then run a small Python test or import check from the same environment as the application.
  • Node.js addon failure: reinstall and rebuild the native addon from the Node binding package before debugging application code.
  • Go loader failure: build the release FFI shared library and point both the linker and runtime loader at the release output directory; use the macOS dynamic-library path variable (DYLD_LIBRARY_PATH) on macOS.
  • Scope stack empty: the work is outside an active scope or crossed a thread, task, goroutine, or worker boundary without the intended stack.
  • Work leaks across requests: separate requests are sharing one scope stack; create a fresh stack per independent request or agent.
  • Middleware missing or ordered incorrectly: check global vs scope-local registration, active scope ancestry, names, and priority values.
  • Subscriber missing events: register before the events are emitted; for scope-local subscribers, ensure the current scope is the owner or descendant.
  • Event fields missing: managed helpers populate semantic fields; manual lifecycle calls require explicit params for input, output, model names, and tool call IDs.
  • ATIF empty or mixed: register before work starts, use one exporter per run or clear between runs, and separate concurrent agents by root scope.
  • Provider payload conversion failure: convert non-JSON provider objects, SDK handles, callbacks, streams, or class instances with explicit codecs.
  • Plugin validation failure: validate config independently from runtime registration and check required fields, value types, defaults, and config source.
  • Adaptive behavior unchanged: confirm instrumentation emits events, the adaptive component is enabled, policy allows the behavior, and the call path reaches the configured component.
  • OpenTelemetry or OpenInference export failure: first identify the Relay version. For 0.6, check the separate exporter, http_binary versus grpc, endpoint, headers, target support, and an active Tokio runtime for native gRPC. For 0.7, check the typed projection, endpoint, headers, TLS, and target support; the subscriber owns the native gRPC runtime.
  • Callback succeeded but no lifecycle events appear: confirm the integration uses managed execute helpers or balanced manual start/end APIs, not only the underlying business callback.
Show full SKILL.md (6 more words)Show less
  • nemo-relay-get-started
  • nemo-relay-instrument-context-isolation
  • nemo-relay-plugin-adaptive-tuning
  • nemo-relay-plugin-build

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/nemo-relay-debug-runtime-integration of NVIDIA/NeMo-Relay.

  • SKILL.md
  • BENCHMARK.md
  • evals/evals.json
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 651453f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in NVIDIA/NeMo-Relay, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Nemo Relay Debug Runtime Integration compared with similar skills
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Nemo Relay Debug Runtime Integration this skillNVIDIA/NeMo-Relay190—~1kAutomated safety check: PassApache-2.0
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PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k13 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Nemo Relay Debug Runtime Integration

What does Nemo Relay Debug Runtime Integration do?

A skill your agent uses when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin…. Nemo Relay Debug Runtime Integration is an agent skill from NVIDIA/NeMo-Relay, published by the product's own GitHub organization. Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.

When should I use Nemo Relay Debug Runtime Integration?

Nemo Relay Debug Runtime Integration fits situations like: neMo Relay is installed; imported but application-side runtime behavior is missing; including load failures; inactive scopes.

How do I install Nemo Relay Debug Runtime Integration in Claude Code?

Run `npx skills add NVIDIA/NeMo-Relay --skill nemo-relay-debug-runtime-integration -a claude-code`. Or copy the skill folder (skills/nemo-relay-debug-runtime-integration in NVIDIA/NeMo-Relay) into .claude/skills/nemo-relay-debug-runtime-integration in your project. Claude Code loads it when a task matches its description.

How do I install Nemo Relay Debug Runtime Integration in Codex?

Run `npx skills add NVIDIA/NeMo-Relay --skill nemo-relay-debug-runtime-integration -a codex`. Or copy the skill folder (skills/nemo-relay-debug-runtime-integration in NVIDIA/NeMo-Relay) into .agents/skills/nemo-relay-debug-runtime-integration in your project. Codex loads it when a task matches its description.

Can I use Nemo Relay Debug Runtime Integration in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/NeMo-Relay --skill nemo-relay-debug-runtime-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemo-relay-debug-runtime-integration, .gemini/skills/nemo-relay-debug-runtime-integration, .github/skills/nemo-relay-debug-runtime-integration and .opencode/skills/nemo-relay-debug-runtime-integration in your project.

What does Nemo Relay Debug Runtime Integration need to run?

Going by SKILL.md and its folder, Nemo Relay Debug Runtime Integration needs the command-line tools its instructions call (uv). Our summary lists: Python 3; Node.js.

Does Nemo Relay Debug Runtime Integration access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Nemo Relay Debug Runtime Integration safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nemo Relay Debug Runtime Integration use?

Nemo Relay Debug Runtime Integration is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nemo Relay Debug Runtime Integration use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nemo Relay Debug Runtime Integration?

Skills that share tags, products or a category with Nemo Relay Debug Runtime Integration: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nemo Relay Debug Runtime Integration?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/NeMo-Relay, which has 190 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/NeMo-Relay on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.