Add Uint Support
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.
$ npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit cuequivariance --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-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library-skills/cuequivariance .claude/skills/cuequivariance && 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 "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .claude/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivarianceType 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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit cuequivariance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/library-skills/cuequivariance .agents/skills/cuequivariance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .agents/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit cuequivariance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/library-skills/cuequivariance .cursor/skills/cuequivariance && 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 "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .cursor/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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-BioNeMo/bionemo-agent-toolkit.git --path library-skills/cuequivariance--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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit cuequivariance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/library-skills/cuequivariance .gemini/skills/cuequivariance && 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 "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .gemini/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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-BioNeMo/bionemo-agent-toolkit cuequivarianceInstalls 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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/library-skills/cuequivariance .github/skills/cuequivariance && 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 "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .github/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -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-BioNeMo/bionemo-agent-toolkit cuequivariance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/library-skills/cuequivariance .opencode/skills/cuequivariance && 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 "cuequivariance" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/library-skills/cuequivariance into .opencode/skills/cuequivariance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuequivariance", 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.
cuequivarianceBuild and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.
Cuequivariance is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials. Use for cuequivariance core descriptors and IrDictPolynomial layout or shape questions; framework execution requires the matching JAX or PyTorch API.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `.skillsource.json`, `evals/evals.json` and `references/custom-irreps.md`).
It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch. The repository describes itself as: Turn any agent into a life science expert with NVIDIA BioNeMo skills.
Read from SKILL.md and the folder at commit 4f1b6a4. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.nvidia.comgithub.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.
Cuequivariance loads about 1.9k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 763 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 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 763 words (~1,858 tokens).
“Use cuequivariance (import cuequivariance as cue) to describe group representations and tensor contractions. Prefer a built-in descriptor when it expresses the requested operation; construct a SegmentedTensorProduct only for a custom contraction. Core polynomials can be evaluated with NumPy on CPU…”
SKILL.md and 6 other files (references) in library-skills/cuequivariance of NVIDIA-BioNeMo/bionemo-agent-toolkit.
Open the folder on GitHubat commit 4f1b6a4
Cuequivariance 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 |
|---|---|---|---|---|---|---|
| Cuequivariance this skillNVIDIA-BioNeMo/bionemo-agent-toolkit | 479 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Add Torch Shapes Examplefacebook/pyrefly | 7.1k | — | ~1.3k | Automated safety check: Pass | MIT | |
| MUSA GPU Training Optimizeropen-infra-skills/infra-skills | 141 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Ghstack CIpytorch/pytorch | 104k | — | ~1.4k | Automated safety check: Pass | Custom licence |
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
facebook/pyrefly
A skill your agent uses when adding a new PyTorch model to Pyrefly's shape-tracking example corpus under tensor-shapes/pyrefly-torch-stubs/examples — i.e.
open-infra-skills/infra-skills
Profiles, benchmarks and tunes AI training workloads on Moore Threads MUSA GPUs with a measurement-first process that keeps model behavior unchanged.
pytorch/pytorch
Manage CI for PyTorch ghstack stacks by running CI where its results are useful now and deferring other PRs with [no-ci].
SharpAI/DeepCamera
Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)
NVIDIA-BioNeMo/bionemo-agent-toolkit
Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided…
NVIDIA-BioNeMo/bionemo-agent-toolkit
Route NVIDIA Parabricks pbrun tools, assess GPU/runtime readiness, and provide version-aware command guidance for FASTQ/BAM processing, RNA-seq, variant calling, BAM QC, and GVCF workflows.
NVIDIA-BioNeMo/bionemo-agent-toolkit
Orchestrate an end-to-end de novo protein binder design campaign against a protein target by composing BioNeMo NIM skills.
NVIDIA-BioNeMo/bionemo-agent-toolkit
A skill your agent uses when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU…
NVIDIA-BioNeMo/bionemo-agent-toolkit
End-to-end Proteina-Complexa design pipeline driver. An agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit.
NVIDIA-BioNeMo/bionemo-agent-toolkit
Standalone evaluation of an existing PDB directory with Proteina-Complexa.
Works with
Categories
Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials. Cuequivariance is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.
Cuequivariance fits situations like: cuequivariance core descriptors and IrDictPolynomial layout; shape questions; framework execution requires the matching JAX.
Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a claude-code`. Or copy the skill folder (library-skills/cuequivariance in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .claude/skills/cuequivariance in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a codex`. Or copy the skill folder (library-skills/cuequivariance in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .agents/skills/cuequivariance 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-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cuequivariance, .gemini/skills/cuequivariance, .github/skills/cuequivariance and .opencode/skills/cuequivariance in your project.
SKILL.md names no scripts, command-line tools or credentials: Cuequivariance is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 2 domains. As links in the text: docs.nvidia.com and github.com. This is read from the text; nothing was executed.
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.
Cuequivariance has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.9k tokens (SKILL.md is roughly 7.4k 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 3.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cuequivariance: Add Uint Support (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars) and MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA-BioNeMo (a GitHub organization) maintains it in NVIDIA-BioNeMo/bionemo-agent-toolkit, which has 479 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA-BioNeMo/bionemo-agent-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.