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 reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
$ npx skills add NVIDIA/skills --skill holohub-module-lifecycle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills holohub-module-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-module-lifecycle .claude/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .claude/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-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-module-lifecycle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills holohub-module-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-module-lifecycle .agents/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .agents/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-lifecycle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills holohub-module-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-module-lifecycle .cursor/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .cursor/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-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-module-lifecycle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills holohub-module-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-module-lifecycle .gemini/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .gemini/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-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-module-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-module-lifecycle .github/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .github/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-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-module-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-module-lifecycle .opencode/skills/holohub-module-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-module-lifecycle" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holohub-module-lifecycle into .opencode/skills/holohub-module-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holohub-module-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-module-lifecycleA skill your agent uses for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
Holohub Module Lifecycle is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
Its SKILL.md is about 1.7k 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 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.
Links to these hosts (documentation or services it may open):
github.comFrom 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 Module Lifecycle loads about 1.7k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 802 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`; obtain approval for host packages, host-localAutomated 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). 802 words, ~1,724 tokens.
.claude/skills/holohub-module-lifecycle/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Take a reusable Holoscan Module from layout and API contract through producer, consumer, and clean artifact-install proof.
Require the API contract, checkout, layout, identities, SDK floor, license, maintainer, package formats, and acceptance checks from the request or an authoritative repository source. If consequential release metadata remains unknown, stop before scaffolding or packaging rather than guessing.
Route an ordinary app to holohub-app-lifecycle and a concrete failing or
wrong ./holohub command to holohub-debug-build-run. If the matching skill
is unavailable, preserve the handoff context and name the skill to install
instead of broadening this workflow.
The selected checkout's AGENTS.md, local help, module guidance, schemas,
templates, tutorials, and nearby examples 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 and stop only when a failed capability is required by the module, consumer, packaging environment, or requested proof.
holoscan-<name> repository for
independent release or an in-tree descriptor under modules/ for code
maintained with HoloHub.snake_case
module/namespace, holoscan-<kebab-case> repository/package, and
snake_case_op operator slug consistent.test <module> is not module-scoped. In a generated repository, combine its
repository-wide test with focused pytest or CTest targets.env-info --json. Record the hook and remove it even if a later step fails;
if removal fails, report the exact environment and hook state.git diff --check, and final status. In a 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. Confirm no generated artifacts or editable hooks are
staged. Do not commit, push, upload, publish, or release unless requested.If a wrapper command fails, stop the happy path and hand off its exact command,
revision, dirty state, inputs, and observed result to
holohub-debug-build-run.
sudo ./holohub; obtain approval for host packages, host-local
execution, root containers, devices/capabilities, or permission changes.Return layout and identities, public API/demo, metadata and registrations, preview and real command results, honest test scope, consumer proof, artifact identity/contents/install results, licensing and publication limits, and final worktree state.
For a planning-only request, return the proposed order, authoritative metadata sources, approval boundaries, and proof requirements without claiming 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-module-lifecycle of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Holohub Module 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 Module Lifecycle this skillNVIDIA/skills | 3.5k | — | ~1.7k | 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 | |
| Skill InspectorNVIDIA/SkillSpector | 20k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Embeddings via 9Routerdecolua/9router | 30k | — | ~604 | Automated safety check: Pass | MIT | |
| NEAR AI Cloud Private Inferenceinternet-court/internet-court-skill | 6.4k | 2 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Nemoclaw Maintainer Normalize Title TagsNVIDIA/NemoClaw | 23k | — | ~693 | Automated safety check: Pass | Apache-2.0 |
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
NVIDIA/SkillSpector
Decides whether an agent skill is safe to install by combining a SkillSpector static scan with the agent's own source review, ending in APPROVE, CAUTION or REJECT.
decolua/9router
Generates vector embeddings through the 9Router /v1/embeddings endpoint, using models from providers such as OpenAI, Gemini, Mistral and Voyage for RAG and semantic search.
internet-court/internet-court-skill
Shows how to call NEAR AI Cloud through an OpenAI-compatible API and verify that inference ran in a TEE, using attestation checks and signed chat responses.
NVIDIA/NemoClaw
Remove bracketed NemoClaw tags from GitHub issue and PR titles.
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/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
A skill your agent uses for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof. Holohub Module Lifecycle is an agent skill from NVIDIA/skills, published by the product's own GitHub organization./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
Holohub Module Lifecycle fits situations like: reusable Holoscan Module work with ./holohub: scaffold; editable install; DEB/WHEEL packaging; clean-consumer proof.
Run `npx skills add NVIDIA/skills --skill holohub-module-lifecycle -a claude-code`. Or copy the skill folder (skills/holohub-module-lifecycle in NVIDIA/skills) into .claude/skills/holohub-module-lifecycle in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill holohub-module-lifecycle -a codex`. Or copy the skill folder (skills/holohub-module-lifecycle in NVIDIA/skills) into .agents/skills/holohub-module-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-module-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-module-lifecycle, .gemini/skills/holohub-module-lifecycle, .github/skills/holohub-module-lifecycle and .opencode/skills/holohub-module-lifecycle in your project.
Going by SKILL.md and its folder, Holohub Module Lifecycle needs the command-line tools its instructions call (git).
SKILL.md names 1 domain. As links in the text: github.com. 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 Module 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 1.7k tokens (SKILL.md is roughly 6.9k 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 4.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Holohub Module Lifecycle: LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Skill Inspector (NVIDIA/SkillSpector, 20k stars), Embeddings via 9Router (decolua/9router, 30k stars) and NEAR AI Cloud Private Inference (internet-court/internet-court-skill, 6.4k 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.