Agent Skill
Molmim Nim skill
molmim-nimNVIDIA/skillsskills/bionemo-molmim-nim/SKILL.md
Use this skill for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. Invoke for MolMIM, molecular embeddings, hidden states, latent decoding, sampling around a seed SMILES, CMA-ES guided molecule generation, QED or plogP optimization, hosted NVIDIA API calls, or local Docker deployment.
always on
80 tokname + description
once used
1,803 tokSKILL.md body
bundled files
1239 KB
repo stars
3.7kGitHub
Install the Molmim Nim skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/NVIDIA/skills --skill molmim-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-molmim-nim ~/.claude/skills/molmim-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.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 80 tok |
| When the agent uses it | The SKILL.md instructions | 1,803 tok |
| Only if opened | 12 bundled files (39 KB) | varies |
Until it is used, molmim-nim costs about 17× 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
- 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.
- MolMIM NIM
- Choose Mode
- Local Docker
- Hosted Generation Pattern
- Local Latent Workflow
- Save And Validate Output
- Troubleshooting
More skills from NVIDIA/skills
- accelerated-computing-cudfNVIDIA/skills
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 - ambient-healthcare-agent-with-nemotron-voice-agentNVIDIA/skills
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 - amc-run-rtsp-calibrationNVIDIA/skills
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 - amc-run-sample-calibrationNVIDIA/skills
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 - amc-run-video-calibrationNVIDIA/skills
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 - amc-setup-calibration-stackNVIDIA/skills
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 - 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 - 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