Openfold2 Nim
NVIDIA/skills
A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction.
First-time setup, environment configuration, and model-weight installation for Proteina-Complexa.
$ npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .claude/skills/complexa-setup && 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 "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .claude/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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/skills/bionemo-agent-toolkit/skills/complexa-setupType 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 complexa-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .agents/skills/complexa-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .agents/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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 complexa-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .cursor/skills/complexa-setup && 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 "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .cursor/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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 skills/bionemo-agent-toolkit/skills/complexa-setup--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 complexa-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .gemini/skills/complexa-setup && 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 "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .gemini/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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 complexa-setupInstalls 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 complexa-setup -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/skills/bionemo-agent-toolkit/skills/complexa-setup .github/skills/complexa-setup && 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 "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .github/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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 complexa-setup -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 complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .opencode/skills/complexa-setup && 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 "complexa-setup" agent skill from https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/skills/bionemo-agent-toolkit/skills/complexa-setup into .opencode/skills/complexa-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "complexa-setup", 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.
complexa-setupFirst-time setup, environment configuration, and model-weight installation for Proteina-Complexa.
Complexa Setup is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. First-time setup, environment configuration, and model-weight installation for Proteina-Complexa. Reach for this skill whenever the user says "set up complexa", "install complexa", "configure my environment file", "first-time setup", "what models do I have installed", "what's in my environment file", "download model weights", "download Complexa / AF2 / RF3 / ProteinMPNN / LigandMPNN / ESM2 / ESMFold checkpoints", "preflight my GPU", "verify environment", "complexa init", "complexa download", "complexa download…
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `config/skillspector-baseline.yml`, `evals/evals.json` and `reference/downloads.md`). Compatibility notes: complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional
It sits in DevOps & Cloud, covering Protein structure and design and Containers. It works with Docker. The repository describes itself as: Turn any agent into a life science expert with NVIDIA BioNeMo skills.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 2113472. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
bashpythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HF_TOKENWANDB_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional
From compatibility in the SKILL.md frontmatter.
Complexa Setup loads about 3.5k tokens when it runs. Until then it costs about 217 tokens; SKILL.md has 1,448 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.
env` end-to-end, edits the required `.env` keys, picks the right runtime (UVdesign run: create `.env`, fetch model weights, and sanity-check the env.| `.env` creation (Step 2) | **File edit** (copying the env template + 3 line swaps) or `complexa init` | `complexa init| `.env` value edits (Step 3) | **File edit** (StrReplace `LOCAL_CODE_PATH=…` etc.) | No CLI for this — the values are u** (`complexa validate env`) or `test -f .env && test -d $DATA_PATH` | CLI prints a nicer report; the manual check is on- A correctly-shaped `.env` for either UV or Docker runtime.t.json` snapshot of the host (GPU, disk, .env, ckpts, tool binaries).require `.env` to exist — it falls back to defaults — and it tells you whetheranything listed here must be edited in `.env` before validation passes.## Step 2: Create `.env`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 1,448 words (~3,482 tokens).
“Drive the three steps a fresh Proteina-Complexa checkout needs before any design run: create .env, fetch model weights, and sanity-check the env. Probe the host for GPU / disk / tool binaries first so the user does not discover a…”
SKILL.md and 4 other files in skills/bionemo-agent-toolkit/skills/complexa-setup of NVIDIA-BioNeMo/bionemo-agent-toolkit.
Open the folder on GitHubat commit 2113472
Complexa Setup 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 |
|---|---|---|---|---|---|---|
| Complexa Setup this skillNVIDIA-BioNeMo/bionemo-agent-toolkit | 478 | — | ~3.5k | Automated safety check: Notes | Custom licence | |
| Openfold2 NimNVIDIA/skills | 3.5k | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Rfdiffusion NimNVIDIA/skills | 3.5k | 1 repos | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Boltz2 NimNVIDIA/skills | 3.5k | 1 repos | ~1.4k | Automated safety check: Notes | Apache-2.0 | |
| Evo2 NimNVIDIA/skills | 3.5k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT |
NVIDIA/skills
A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction.
NVIDIA/skills
Run RFDiffusion protein backbone design via NVIDIA NIM. An agent skill from NVIDIA/skills.
NVIDIA/skills
Use Boltz2 NIM for biomolecular structure prediction and binding affinity.
NVIDIA/skills
Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice.
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
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
Build and debug cuEquivariance irreps, custom Irrep subclasses, Clebsch-Gordan tensor products, and equivariant or segmented polynomials.
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.
Works with
Categories
First-time setup, environment configuration, and model-weight installation for Proteina-Complexa. Complexa Setup is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. First-time setup, environment configuration, and model-weight installation for Proteina-Complexa.
Complexa Setup fits situations like: tasks that involve Protein structure and design; tasks that involve Containers.
Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-setup -a claude-code`. Or copy the skill folder (skills/bionemo-agent-toolkit/skills/complexa-setup in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .claude/skills/complexa-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-setup -a codex`. Or copy the skill folder (skills/bionemo-agent-toolkit/skills/complexa-setup in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .agents/skills/complexa-setup 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 complexa-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/complexa-setup, .gemini/skills/complexa-setup, .github/skills/complexa-setup and .opencode/skills/complexa-setup in your project.
Going by SKILL.md and its folder, Complexa Setup needs the command-line tools its instructions call (bash, python and pip) and credentials named HF_TOKEN and WANDB_API_KEY. Our summary lists: Python 3; Docker; A credential in WANDB_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, AskUserQuestion. Compatibility (from SKILL.md): complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional.
SKILL.md contains no URLs. Its commands use pip, 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 (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Complexa Setup has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 3.5k tokens (SKILL.md is roughly 14k 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 Complexa Setup: Openfold2 Nim (NVIDIA/skills, 3.5k stars), Rfdiffusion Nim (NVIDIA/skills, 3.5k stars), Boltz2 Nim (NVIDIA/skills, 3.5k stars) and Evo2 Nim (NVIDIA/skills, 3.5k 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 478 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 6, 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.