Doca Collectx Deployment
NVIDIA/skills
A skill your agent uses to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon…
Show GPU availability across all SSH servers listed in this project's CLAUDE.md.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add CurryTang/Amadeus --skill gpu-status -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CurryTang/Amadeus gpu-status --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/CurryTang/Amadeus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .claude/skills/gpu-status && 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 "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .claude/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-statusType 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 CurryTang/Amadeus --skill gpu-status -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CurryTang/Amadeus gpu-status --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CurryTang/Amadeus.git skills-src && mkdir -p .agents/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .agents/skills/gpu-status && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .agents/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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 CurryTang/Amadeus --skill gpu-status -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CurryTang/Amadeus gpu-status --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CurryTang/Amadeus.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .cursor/skills/gpu-status && 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 "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .cursor/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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/CurryTang/Amadeus.git --path resource/integrations/aris/overlay/skills/gpu-status--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 CurryTang/Amadeus --skill gpu-status -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CurryTang/Amadeus gpu-status --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CurryTang/Amadeus.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .gemini/skills/gpu-status && 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 "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .gemini/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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 CurryTang/Amadeus gpu-statusInstalls 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 CurryTang/Amadeus --skill gpu-status -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CurryTang/Amadeus.git skills-src && mkdir -p .github/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .github/skills/gpu-status && 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 "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .github/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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 CurryTang/Amadeus --skill gpu-status -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CurryTang/Amadeus gpu-status --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CurryTang/Amadeus.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/resource/integrations/aris/overlay/skills/gpu-status .opencode/skills/gpu-status && 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 "gpu-status" agent skill from https://github.com/CurryTang/Amadeus/tree/master/resource/integrations/aris/overlay/skills/gpu-status into .opencode/skills/gpu-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gpu-status", 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.
gpu-statusShow GPU availability across all SSH servers listed in this project's CLAUDE.md.
GPU Status is an agent skill from CurryTang/Amadeus. Show GPU availability across all SSH servers listed in this project's CLAUDE.md. Use when user says "check GPUs", "which GPUs are free", "gpu status", "GPU 状态", or needs to know where to run experiments.
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent instruction files. It works with NVIDIA AI Platform. The repository describes itself as: Your personal AI research assistant that automatically reads, summarizes, organizes, and acts on academic papers.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 72f0e2f. 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:
sshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, 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.
GPU Status loads about 862 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 292 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 found patterns that need a careful read before installing.
"sshKeyPath": "~/.auto-researcher/id_ed25519",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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 292 words (~862 tokens).
Just SKILL.md in resource/integrations/aris/overlay/skills/gpu-status of CurryTang/Amadeus.
Open the folder on GitHubat commit 72f0e2f
GPU Status 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 |
|---|---|---|---|---|---|---|
| GPU Status this skillCurryTang/Amadeus | 176 | — | ~862 | Automated safety check: Warn | None | |
| Doca Collectx DeploymentNVIDIA/skills | 3.5k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Using Agent Skillsaddyosmani/agent-skills | 103k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Claude ReflectBayramAnnakov/claude-reflect | 1.7k | 2 repos | ~627 | Automated safety check: Pass | MIT | |
| Writing For Agentsbestofjs/bestofjs | 3.1k | 19 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills | 21k | — | ~1.9k | Automated safety check: Pass | MIT |
NVIDIA/skills
A skill your agent uses to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon…
addyosmani/agent-skills
Meta-skill for choosing which workflow skill fits the task at hand, plus always-on habits: surface assumptions, stop on confusion, push back, keep it simple and stay in scope.
BayramAnnakov/claude-reflect
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md.
bestofjs/bestofjs
Writing documents for agents. An agent skill from bestofjs/bestofjs.
KKKKhazix/khazix-skills
Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
rebelytics/one-skill-to-rule-them-all
Monitors task execution for skill improvement opportunities.
CurryTang/Amadeus
Search and analyze research papers, find related work, summarize key ideas.
CurryTang/Amadeus
Synchronize a local or WSL clone with its upstream branch and verify backend runtime prerequisites for this project.
CurryTang/Amadeus
Autonomous multi-round research review loop. An agent skill from CurryTang/Amadeus.
CurryTang/Amadeus
Sync local and remote project files bidirectionally. An agent skill from CurryTang/Amadeus.
CurryTang/Amadeus
Convert a project TODO item into a ResearchOps tree node via LLM.
CurryTang/Amadeus
Manage project-management TODO workflows in ResearchOps. An agent skill from CurryTang/Amadeus.
Works with
Categories
Show GPU availability across all SSH servers listed in this project's CLAUDE.md. GPU Status is an agent skill from CurryTang/Amadeus.md.
GPU Status fits situations like: user says check GPUs; which GPUs are free; needs to know where to run experiments.
Run `npx skills add CurryTang/Amadeus --skill gpu-status -a claude-code`. Or copy the skill folder (resource/integrations/aris/overlay/skills/gpu-status in CurryTang/Amadeus) into .claude/skills/gpu-status in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CurryTang/Amadeus --skill gpu-status -a codex`. Or copy the skill folder (resource/integrations/aris/overlay/skills/gpu-status in CurryTang/Amadeus) into .agents/skills/gpu-status 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 CurryTang/Amadeus --skill gpu-status -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gpu-status, .gemini/skills/gpu-status, .github/skills/gpu-status and .opencode/skills/gpu-status in your project.
Going by SKILL.md and its folder, GPU Status needs the command-line tools its instructions call (ssh).
SKILL.md contains no URLs. Its commands use ssh, 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 flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.
No licence was found for GPU Status or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 862 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with GPU Status: Doca Collectx Deployment (NVIDIA/skills, 3.5k stars), Using Agent Skills (addyosmani/agent-skills, 103k stars), Claude Reflect (BayramAnnakov/claude-reflect, 1.7k stars) and Writing For Agents (bestofjs/bestofjs, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CurryTang (a GitHub user) maintains it in CurryTang/Amadeus, which has 176 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on March 25, 2026.
Source: CurryTang/Amadeus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.