Skip to content
mcp/skillhub

Agent Skill

Proteinmpnn Nim skill

proteinmpnn-nimNVIDIA/skillsskills/bionemo-proteinmpnn-nim/SKILL.md

Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. Sends user-provided PDB files and design parameters to NVIDIA's hosted API, authenticated with an environment API key, or to a user-selected local NIM. Use for sequence design, backbone redesign, fixed chains and residues, omit_AAs, sampling temperature, soluble model, local Docker, and multi-FASTA output.

3.7kApache-2.0

always on

90 tokname + description

once used

1,710 tokSKILL.md body

bundled files

223 scripts

repo stars

3.7kGitHub

Install the Proteinmpnn Nim skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill proteinmpnn-nim

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/bionemo-proteinmpnn-nim ~/.claude/skills/proteinmpnn-nim

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description90 tok
When the agent uses itThe SKILL.md instructions1,710 tok
Only if opened22 bundled files (1.0 MB)varies

Until it is used, proteinmpnn-nim costs about 15× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.
  • The name doesn't match its folder name, as the specification requires.

Pre-approved tools (allowed-tools): Bash, Read, Write, AskUserQuestion. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • ProteinMPNN NIM
  • Choose Mode
  • Data Transfer and Authorization
  • Local Docker
  • Instructions
  • Examples
  • Save And Report Output
  • Limits And Troubleshooting

More skills from NVIDIA/skills

All skills in this repo
  1. Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

    3.7k2356 tok idle · 2,307 in use
  2. Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.

    3.7k1744 tok idle · 2,849 in use
  3. Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.

    3.7k159 tok idle · 4,607 in use
  4. Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.

    3.7k164 tok idle · 3,627 in use
  5. Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.

    3.7k157 tok idle · 4,576 in use
  6. Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.

    3.7k67 tok idle · 4,277 in use
  7. boltz2-nimNVIDIA/skills

    Use Boltz2 NIM for biomolecular structure prediction and binding affinity. Invoke for Boltz2, protein structures, protein-ligand/DNA/RNA complexes, SMILES or CCD ligands, pIC50/IC50 affinity scoring, mmCIF output, hosted NVIDIA API calls, or local Docker deployment.

    3.7k71 tok idle · 1,433 in use
  8. cdf-anomalygenNVIDIA/skills

    Use when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality refinement, and pseudo-labeling — even when the user names only one stage.

    3.7k54 tok idle · 9,563 in use