Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.

Custom licenceAuto-check passedAI & LLM Engineering

Install Cuequivariance

skills CLI
$ npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill cuequivariance -a claude-code

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

GitHub CLI
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit cuequivariance --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-BioNeMo/bionemo-agent-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library-skills/cuequivariance .claude/skills/cuequivariance && 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
cuequivariance
GitHub stars
479
Token cost
~1.9k tokens
SKILL.md length
763 words
Files
7 (incl. references)
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.

  • Cuequivariance core descriptors and IrDictPolynomial layout
  • SKILL.md covers Choose the workflow, Check the execution environment, Groups, multiplicities, and… and Runnable dense tensor product, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Shape questions

What it does

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.

When your agent uses it

  • Cuequivariance core descriptors and IrDictPolynomial layout
  • Shape questions
  • Framework execution requires the matching JAX

Example prompts

  • “/cuequivariance”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 4f1b6a4. 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

    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.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.nvidia.com
    • github.com

    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

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.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.5k

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

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…”

— opening of SKILL.md by NVIDIA-BioNeMo, Custom licence
name
cuequivariance

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (references) in library-skills/cuequivariance of NVIDIA-BioNeMo/bionemo-agent-toolkit.

  • SKILL.md
  • .skillsource.json
  • evals/evals.json
  • references/custom-irreps.md
  • references/environment.md
  • references/ir-dict.md
  • references/segmented-polynomials.md

Open the folder on GitHubat commit 4f1b6a4

Compare with similar skills

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.

Cuequivariance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cuequivariance this skillNVIDIA-BioNeMo/bionemo-agent-toolkit479—~1.9kAutomated safety check: PassCustom licence
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Add Torch Shapes Examplefacebook/pyrefly7.1k—~1.3kAutomated safety check: PassMIT
MUSA GPU Training Optimizeropen-infra-skills/infra-skills141—~1.7kAutomated safety check: PassApache-2.0
Ghstack CIpytorch/pytorch104k—~1.4kAutomated safety check: PassCustom licence

Similar skills

  • Add Uint Support

    pytorch/pytorch

    Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.

    104k GitHub starsUsed in 2 repos~2.3k tokens
    AI & LLM EngineeringAuto-check passed
  • CLIP Image-Text Matching

    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.

    13k GitHub starsUsed in 7 repos~1.7k tokens
    AI & LLM EngineeringAuto-check passed
  • Add Torch Shapes Example

    facebook/pyrefly

    Official

    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.

    7.1k GitHub stars~1.3k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • MUSA GPU Training Optimizer

    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.

    141 GitHub stars~1.7k tokensUpdated 3 mo ago
    AI & LLM EngineeringAuto-check passed
  • Ghstack CI

    pytorch/pytorch

    Manage CI for PyTorch ghstack stacks by running CI where its results are useful now and deferring other PRs with [no-ci].

    104k GitHub stars~1.4k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Depth Estimation

    SharpAI/DeepCamera

    Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

    3.1k GitHub stars~945 tokensUpdated 23 days ago
    AI & LLM EngineeringAuto-check passed

More from NVIDIA-BioNeMo/bionemo-agent-toolkit

All 14 skills in this repo
  • Complexa Binder Design

    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…

    479 GitHub stars~3.1k tokensUpdated today
    Auto-check: notes
  • Parabricks

    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.

    479 GitHub stars~2.1k tokensUpdated today
    Auto-check passed
  • Protein Binder Design

    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.

    479 GitHub stars~1.4k tokensUpdated today
    Auto-check: notes
  • Genomics Workflow Acceleration

    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…

    479 GitHub stars~3.3k tokensUpdated today
    Auto-check passed
  • Complexa Design

    NVIDIA-BioNeMo/bionemo-agent-toolkit

    End-to-end Proteina-Complexa design pipeline driver. An agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit.

    479 GitHub stars~4.1k tokensUpdated today
    Auto-check: notes
  • Complexa Evaluate Pdbs

    NVIDIA-BioNeMo/bionemo-agent-toolkit

    Standalone evaluation of an existing PDB directory with Proteina-Complexa.

    479 GitHub stars~3.3k tokensUpdated today
    Auto-check: notes

Works with

Questions about Cuequivariance

What does Cuequivariance do?

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.

When should I use Cuequivariance?

Cuequivariance fits situations like: cuequivariance core descriptors and IrDictPolynomial layout; shape questions; framework execution requires the matching JAX.

How do I install Cuequivariance in Claude Code?

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.

How do I install Cuequivariance in Codex?

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.

Can I use Cuequivariance 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-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.

What does Cuequivariance need to run?

SKILL.md names no scripts, command-line tools or credentials: Cuequivariance is instructions for the agent only. Our summary lists: Python 3.

Does Cuequivariance access the network?

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.

Is Cuequivariance 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 Cuequivariance use?

Cuequivariance has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Cuequivariance use?

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.

What are the alternatives to Cuequivariance?

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.

Who maintains Cuequivariance?

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.