LLM Torch Profiler Analysis
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
A skill your agent uses for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills holohub-app-lifecycle --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holohub-app-lifecycle .claude/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.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/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .claude/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills holohub-app-lifecycle --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/holohub-app-lifecycle .agents/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .agents/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills holohub-app-lifecycle --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/holohub-app-lifecycle .cursor/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .cursor/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/holohub-app-lifecycle--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills holohub-app-lifecycle --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/holohub-app-lifecycle .gemini/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .gemini/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills holohub-app-lifecycleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/holohub-app-lifecycle .github/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .github/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills holohub-app-lifecycle --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/holohub-app-lifecycle .opencode/skills/holohub-app-lifecycle && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "holohub-app-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-app-lifecycle into .opencode/skills/holohub-app-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-app-lifecycle", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
holohub-app-lifecycleA skill your agent uses for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
Holohub App Lifecycle is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `evals/extended-evals.json`).
It sits in Development. It works with NVIDIA AI Platform. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Holohub App Lifecycle loads about 1.8k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 893 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- Never run `sudo ./holohub`, recursively search the home directory, turn aAutomated 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.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 893 words, ~1,815 tokens.
.claude/skills/holohub-app-lifecycle/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Take a non-failing application request from checkout selection to reviewable,
finite evidence through the public ./holohub workflow.
Require the task, checkout or starting workspace, and finite acceptance check. Take remaining values from the request or selected checkout; do not guess data rights or sensitive-data constraints. Benchmark details are optional unless performance work is requested.
Route a concrete failing or wrong ./holohub command to
holohub-debug-build-run, reusable Module or DEB/WHEEL work to
holohub-module-lifecycle, and first-time SDK host installation to
holoscan-setup. If the matching skill is unavailable, preserve the handoff
context and name the skill to install instead of improvising its workflow.
The selected checkout's AGENTS.md, local ./holohub help, schemas, and
contribution guide are the live technical authority where they do not conflict
with user, system, or safety constraints.
At any step, a failing effect-bearing wrapper command ends this happy path;
follow Troubleshooting with its exact context. Parse read-only diagnostic
results such as env-check --json and stop only when a failed capability is
required by the selected project's documented needs or the requested proof.
create. Treat preview as
potentially mutating. Obtain any repository-required approval for parent
CMake registration; if denied or setup fails, stop before creation. Do not
replace an existing app.--no-docker-build only after one matching build/run. Use
--no-local-build only when current artifacts or mounted-source execution
are proved sufficient. Rebuild after image or setup changes.git diff --check, and
final status. In an explicitly selected dirty checkout, restrict
auto-fixing lint to task paths; before a requested commit, validate the
exact candidate change with the repository-required full lint in a clean
disposable checkout rather than rewriting unrelated work. Do not commit or
push unless requested.If a wrapper command begins failing, stop the happy path and hand off its exact
command, revision, dirty state, inputs, and observed result to
holohub-debug-build-run.
./holohub run failure: use
holohub-debug-build-run.sudo ./holohub, recursively search the home directory, turn a
data workspace into HoloHub, overwrite a nonempty destination, or stage
external data.Return a concise report covering workspace and checkout provenance, reused patterns, changes, preview and real command results, finite and visual evidence, tests and lint, benchmark protocol when requested, final worktree state, and licensing or claim limits.
For a planning-only request, return the proposed order, assumptions, approval boundaries, and proof requirements without claiming execution results.
© 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
SKILL.md and 8 other files (references) in skills/holohub-app-lifecycle of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Holohub App Lifecycle next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Holohub App Lifecycle this skillNVIDIA/skills | 3.5k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Megatron-LM Container and Dependency SetupNVIDIA/Megatron-LM | 18k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Nemoclaw Contributor Update DependenciesNVIDIA/NemoClaw | 23k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Doc ReviewerNVlabs/alpasim | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Refactor OpCVCUDA/CV-CUDA | 2.7k | — | ~1.5k | Automated safety check: Pass | Custom licence |
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
NVIDIA/Megatron-LM
Walks an agent through working inside the Megatron-LM CI container and changing dependencies with uv, so lock files resolve the same locally and in CI.
NVIDIA/NemoClaw
Audit and implement a NemoClaw dependency version upgrade, including Hermes and base images.
NVlabs/alpasim
Reviews recent code changes and checks if documentation needs updates.
CVCUDA/CV-CUDA
Find and safely apply per-operator refactoring / redundancy-reduction opportunities in a CV-CUDA operator (near-duplicate Tensor/VarShape kernels, reinvented shared utilities, dead code).
NVIDIA/NemoClaw
Analyze one NemoClaw PR lifetime to identify contributor, review, and automation delays or compare it with a latency target.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
A skill your agent uses for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking. Holohub App Lifecycle is an agent skill from NVIDIA/skills, published by the product's own GitHub organization./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
Holohub App Lifecycle fits situations like: non-failing HoloHub app work with ./holohub: scaffold; visual evidence; flow benchmarking.
Run `npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a claude-code`. Or copy the skill folder (skills/holohub-app-lifecycle in NVIDIA/skills) into .claude/skills/holohub-app-lifecycle in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a codex`. Or copy the skill folder (skills/holohub-app-lifecycle in NVIDIA/skills) into .agents/skills/holohub-app-lifecycle in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill holohub-app-lifecycle -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/holohub-app-lifecycle, .gemini/skills/holohub-app-lifecycle, .github/skills/holohub-app-lifecycle and .opencode/skills/holohub-app-lifecycle in your project.
Going by SKILL.md and its folder, Holohub App Lifecycle needs the command-line tools its instructions call (git). Our summary lists: Docker.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Holohub App Lifecycle 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.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Holohub App Lifecycle: LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Megatron-LM Container and Dependency Setup (NVIDIA/Megatron-LM, 18k stars), Nemoclaw Contributor Update Dependencies (NVIDIA/NemoClaw, 23k stars) and Doc Reviewer (NVlabs/alpasim, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.