Proteinmpnn Nim is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. 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, omitAAs, sampling temperature, soluble model, local Docker, and multi-FASTA output.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 32 other files, including scripts and reference files (for example `BENCHMARK.md`, `config/skillspector-baseline.yml` and `evals/README.md`). Compatibility notes: Python =3.10; requests=2.28
It sits in Research & Science, covering Protein structure and design. It works with NVIDIA AI Platform and Docker. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.