Individual skill
openfold3-nim
Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA API or local Docker NIM. Covers endpoint choice, auth, request payloads, output artifacts, confidence scores, and local container setup.
skills/bionemo-openfold3-nim/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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BENCHMARK.mddoc · 7,627 bytesSKILL.mdcore · 7,585 bytesSKILL.mdcore · 7,585 bytesSKILL.mdcore · 7,585 bytesSKILL.mdcore · 7,585 bytesSKILL.mdcore · 7,585 bytesconfig/skillspector-baseline.ymlasset · 268 bytesevals/evals.jsonasset · 6,962 bytesevals/trigger_evals.jsonasset · 2,257 bytesreferences/api.mddoc · 5,835 bytesreferences/examples.mddoc · 2,302 bytesreferences/parameters.mddoc · 2,728 bytesreferences/science.mddoc · 2,642 bytesreferences/validation.mddoc · 2,543 bytesskill-card.mddoc · 4,107 bytesskill.oms.sigasset · 6,229 bytes
Read excerpt
# OpenFold3 NIM
Predict biomolecular structures with OpenFold3. It supports proteins, DNA, RNA,
small-molecule ligands, and multi-entity assemblies. Use this guide for
basic hosted and local NIM use; load supplemental files only when the task needs
deeper context:
- `references/api.md`: exact endpoints, schemas, Docker flags, response fields.
- `references/science.md`: purpose, strengths, limitations, and model handoffs.
- `references/parameters.md`: molecule fields, MSAs, templates, samples, tuning.
- `references/validation.md`: artifact checks and scientific sanity checks.
- `references/examples.md`: compact hosted and local request patterns.
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