First-time setup, environment configuration, and model-weight installation for Proteina-Complexa.

Custom licenceAuto-check: notesDevOps & Cloud

Install Complexa Setup

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

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

GitHub CLI
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-setup --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/skills/bionemo-agent-toolkit/skills/complexa-setup .claude/skills/complexa-setup && 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
complexa-setup
GitHub stars
478
Token cost
~3.5k tokens
SKILL.md length
1,448 words
Files
5
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

First-time setup, environment configuration, and model-weight installation for Proteina-Complexa.

  • Works in 6 steps: Pre-flight check → Create .env → Edit .env → …
  • Tasks that involve Protein structure and design
  • SKILL.md covers CLI vs direct file-edit — pick…, What this skill enables, Step 1: Pre-flight check and Step 1b: Build the Python…, plus 7 more sections
  • Calls bash, python and pip; needs HF_TOKEN and WANDB_API_KEY

What it does

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.

When your agent uses it

  • Tasks that involve Protein structure and design
  • Tasks that involve Containers

Example prompts

  • “set up complexa”
  • “install complexa”
  • “configure my environment file”
  • “/complexa-setup”

Requirements

  • Python 3
  • Docker
  • A credential in WANDB_API_KEY
  • Compatibility (from SKILL.md): complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional
  • Pre-approved tools (allowed-tools): Bash, Read, Write, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Pre-flight check
  2. Create .env
  3. Edit .env
  4. Download checkpoints
  5. Validate
  6. Emit setup artifact

What it can do on your machine

Read from SKILL.md and the folder at commit 2113472. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash
    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • HF_TOKEN
    • WANDB_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional

    From compatibility in the SKILL.md frontmatter.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~217
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:13
    env` end-to-end, edits the required `.env` keys, picks the right runtime (UV
  • NoteMentions a .env fileSKILL.md:22
    design run: create `.env`, fetch model weights, and sanity-check the env.
  • NoteMentions a .env fileSKILL.md:31
    | `.env` creation (Step 2) | **File edit** (copying the env template + 3 line swaps) or `complexa init` | `complexa init
  • NoteMentions a .env fileSKILL.md:32
    | `.env` value edits (Step 3) | **File edit** (StrReplace `LOCAL_CODE_PATH=…` etc.) | No CLI for this — the values are u
  • NoteMentions a .env fileSKILL.md:34
    ** (`complexa validate env`) or `test -f .env && test -d $DATA_PATH` | CLI prints a nicer report; the manual check is on
  • NoteMentions a .env fileSKILL.md:39
    - A correctly-shaped `.env` for either UV or Docker runtime.
  • NoteMentions a .env fileSKILL.md:41
    t.json` snapshot of the host (GPU, disk, .env, ckpts, tool binaries).
  • NoteMentions a .env fileSKILL.md:48
    require `.env` to exist — it falls back to defaults — and it tells you whether
  • NoteMentions a .env fileSKILL.md:60
    anything listed here must be edited in `.env` before validation passes.
  • NoteMentions a .env fileSKILL.md:83
    ## 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.

SKILL.md

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…”

— opening of SKILL.md by NVIDIA-BioNeMo, Custom licence
name
complexa-setup
allowed-tools
Bash, Read, Write, AskUserQuestion
compatibility
complexa CLI installed (pip install -e .); bash 4+; nvidia-smi optional

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files in skills/bionemo-agent-toolkit/skills/complexa-setup of NVIDIA-BioNeMo/bionemo-agent-toolkit.

  • SKILL.md
  • config/skillspector-baseline.yml
  • evals/evals.json
  • reference/downloads.md
  • reference/env_keys.md

Open the folder on GitHubat commit 2113472

Compare with similar skills

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.

Complexa Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Complexa Setup this skillNVIDIA-BioNeMo/bionemo-agent-toolkit478—~3.5kAutomated safety check: NotesCustom licence
Openfold2 NimNVIDIA/skills3.5k1 repos~1.8kAutomated safety check: NotesApache-2.0
Rfdiffusion NimNVIDIA/skills3.5k1 repos~1.3kAutomated safety check: NotesApache-2.0
Boltz2 NimNVIDIA/skills3.5k1 repos~1.4kAutomated safety check: NotesApache-2.0
Evo2 NimNVIDIA/skills3.5k1 repos~2.4kAutomated safety check: NotesApache-2.0
Iron Proxy Gateway for NanoClawnanocoai/nanoclaw31k—~4.6kAutomated safety check: NotesMIT

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Works with

Questions about Complexa Setup

What does Complexa Setup do?

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.

When should I use Complexa Setup?

Complexa Setup fits situations like: tasks that involve Protein structure and design; tasks that involve Containers.

How do I install Complexa Setup in Claude Code?

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.

How do I install Complexa Setup in Codex?

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.

Can I use Complexa Setup 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 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.

What does Complexa Setup need to run?

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.

Does Complexa Setup access the network?

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.

Is Complexa Setup safe to install?

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.

What licence does Complexa Setup use?

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.

How many tokens does Complexa Setup use?

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.

What are the alternatives to Complexa Setup?

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.

Who maintains Complexa Setup?

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.