A skill your agent uses whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over…

Custom licenceAuto-check: notes

Install Complexa Sweep

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

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

GitHub CLI
$ gh skill install NVIDIA-BioNeMo/bionemo-agent-toolkit complexa-sweep --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-sweep .claude/skills/complexa-sweep && 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-sweep
GitHub stars
478
Token cost
~3.2k tokens
SKILL.md length
1,186 words
Files
4
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over…

  • Works in 7 steps: Pre-flight → Pick the pipeline + target → Pick or author the sweeper YAML → …
  • The user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans
  • SKILL.md covers What this skill enables, Step 1: Pre-flight, Step 2: Pick the pipeline +… and Step 3: Pick or author the…, plus 7 more sections
  • Calls python, bash and python3

What it does

Complexa Sweep is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. Use this skill whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over generation/reward/evaluation knobs, or any "compare configurations" workflow. Trigger phrases include "sweep beam width", "sweep nsteps", "hyperparameter sweep", "parameter scan", "scan beamwidth and temperature", "compare configurations", "find the best generation params", "what's the optimal nsteps", "Pareto search for binder quality vs…

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `evals/evals.json`, `reference/SWEEP.md` and `reference/sweep_axes.md`).

The repository describes itself as: Turn any agent into a life science expert with NVIDIA BioNeMo skills.

When your agent uses it

  • The user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans
  • Pareto search over generation/reward/evaluation knobs
  • Any compare configurations workflow
  • Phrases include sweep beam width

Example prompts

  • “compare configurations”
  • “sweep beam width”
  • “sweep nsteps”
  • “/complexa-sweep”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read, Write, AskUserQuestion

Workflow steps

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

  1. Pre-flight
  2. Pick the pipeline + target
  3. Pick or author the sweeper YAML
  4. Generate configs + loop complexa design
  5. Collect results
  6. Rank configs
  7. Emit manifest

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:

    • python
    • bash
    • python3

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

  • Network

    No URLs in SKILL.md.

    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

Complexa Sweep loads about 3.2k tokens when it runs. Until then it costs about 193 tokens; SKILL.md has 1,186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~193
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, AskUserQuestion

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 1,186 words (~3,152 tokens).

“Run cartesian-product parameter sweeps over Proteina-Complexa design pipelines. Pick or author a sweeper YAML in configs/sweeps/, expand it to N inference configs with script_utils/generate_inference_configs.py, loop complexa design over those configs, then aggregate per-config success metrics into a ranked summary CSV…”

— opening of SKILL.md by NVIDIA-BioNeMo, Custom licence
name
complexa-sweep
allowed-tools
Bash, Read, Write, AskUserQuestion

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in skills/bionemo-agent-toolkit/skills/complexa-sweep of NVIDIA-BioNeMo/bionemo-agent-toolkit.

  • SKILL.md
  • evals/evals.json
  • reference/SWEEP.md
  • reference/sweep_axes.md

Open the folder on GitHubat commit 2113472

Compare with similar skills

Complexa Sweep 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 Sweep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Complexa Sweep this skillNVIDIA-BioNeMo/bionemo-agent-toolkit478—~3.2kAutomated safety check: NotesCustom licence
Parametersthedaviddias/Front-End-Checklist74k—~638Automated safety check: PassMIT
Brooks Sweepsickn33/agentic-awesome-skills47k1 repos~668Automated safety check: PassMIT
Feedback SweepEveryInc/compound-engineering-plugin25k—~1.7kAutomated safety check: NotesMIT
Java Refactoring Remove Parametergithub/awesome-copilot40k1 repos~738Automated safety check: PassMIT
CI Red Sweepdiegosouzapw/OmniRoute74k—~868Automated safety check: PassMIT

Similar skills

  • Parameters

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing URL structure or configuring search engine handling of filtered, sorted, or tracked URLs.

    74k GitHub stars~638 tokensUpdated yesterday
    Sales & SupportAuto-check passed
  • Brooks Sweep

    sickn33/agentic-awesome-skills

    Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase.

    47k GitHub starsUsed in 1 repo~668 tokens
    DevelopmentAuto-check passed
  • Feedback Sweep

    EveryInc/compound-engineering-plugin

    Sweeps Slack and GitHub Issues for new feedback, verifies claimed fixes actually merged, and rolls open items into a plan.

    25k GitHub stars~1.7k tokensUpdated today
    Agent WorkflowsAuto-check: notes
  • Java Refactoring Remove Parameter

    github/awesome-copilot

    Official

    Refactoring using Remove Parameter in Java Language. An agent skill from github/awesome-copilot.

    40k GitHub starsUsed in 1 repo~738 tokens
    DevelopmentAuto-check passed
  • CI Red Sweep

    diegosouzapw/OmniRoute

    Repairs confirmed CI failures on the base branch first, then prepares each affected PR one at a time with exact-commit evidence, never merging or weakening tests.

    74k GitHub stars~868 tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • Review Sweep

    udecode/plate

    Mine review comments for broader diff-wide fixes instead of handling each line in isolation

    17k GitHub stars~711 tokensUpdated today
    Auto-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…

    478 GitHub stars~3.1k tokensUpdated yesterday
    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.

    478 GitHub stars~2.1k tokensUpdated yesterday
    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.

    478 GitHub stars~1.4k tokensUpdated yesterday
    Auto-check: notes
  • Cuequivariance

    NVIDIA-BioNeMo/bionemo-agent-toolkit

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

    478 GitHub stars~1.9k tokensUpdated yesterday
    Auto-check passed
  • 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…

    478 GitHub stars~3.3k tokensUpdated yesterday
    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.

    478 GitHub stars~4.1k tokensUpdated yesterday
    Auto-check: notes

Questions about Complexa Sweep

What does Complexa Sweep do?

A skill your agent uses whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over…. Complexa Sweep is an agent skill from NVIDIA-BioNeMo/bionemo-agent-toolkit. Use this skill whenever the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans, Pareto search over generation/reward/evaluation knobs, or any "compare configurations" workflow.

When should I use Complexa Sweep?

Complexa Sweep fits situations like: the user wants to run a parameter sweep over a Proteina-Complexa design pipeline — cartesian-product hyperparameter scans; pareto search over generation/reward/evaluation knobs; any compare configurations workflow; phrases include sweep beam width.

How do I install Complexa Sweep in Claude Code?

Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-sweep -a claude-code`. Or copy the skill folder (skills/bionemo-agent-toolkit/skills/complexa-sweep in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .claude/skills/complexa-sweep in your project. Claude Code loads it when a task matches its description.

How do I install Complexa Sweep in Codex?

Run `npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill complexa-sweep -a codex`. Or copy the skill folder (skills/bionemo-agent-toolkit/skills/complexa-sweep in NVIDIA-BioNeMo/bionemo-agent-toolkit) into .agents/skills/complexa-sweep in your project. Codex loads it when a task matches its description.

Can I use Complexa Sweep 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-sweep -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-sweep, .gemini/skills/complexa-sweep, .github/skills/complexa-sweep and .opencode/skills/complexa-sweep in your project.

What does Complexa Sweep need to run?

Going by SKILL.md and its folder, Complexa Sweep needs the command-line tools its instructions call (python, bash and python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, AskUserQuestion.

Does Complexa Sweep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Complexa Sweep safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Complexa Sweep use?

Complexa Sweep 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 Sweep use?

About 3.2k tokens (SKILL.md is roughly 13k 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 Sweep?

Skills that share tags, products or a category with Complexa Sweep: Parameters (thedaviddias/Front-End-Checklist, 74k stars), Brooks Sweep (sickn33/agentic-awesome-skills, 47k stars), Feedback Sweep (EveryInc/compound-engineering-plugin, 25k stars) and Java Refactoring Remove Parameter (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Complexa Sweep?

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.