Individual skill
openfold2-nim
Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence-to-structure prediction, A3M MSAs, mmCIF templates, hosted NVIDIA API calls, or local Docker deployment.
skills/bionemo-openfold2-nim/SKILL.md
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- Last checked
- Nov 9, 2026
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- 3,909
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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BENCHMARK.mddoc · 7,093 bytesSKILL.mdcore · 7,208 bytesSKILL.mdcore · 7,208 bytesSKILL.mdcore · 7,208 bytesSKILL.mdcore · 7,208 bytesconfig/skillspector-baseline.ymlasset · 877 bytesevals/config.ymlasset · 117 bytesevals/evals.jsonasset · 7,498 bytesevals/trigger_evals.jsonasset · 1,992 bytesreferences/api.mddoc · 4,543 bytesreferences/examples.mddoc · 1,883 bytesreferences/parameters.mddoc · 1,852 bytesreferences/science.mddoc · 2,949 bytesreferences/validation.mddoc · 1,516 bytesskill-card.mddoc · 4,392 bytesskill.oms.sigasset · 6,457 bytes
Read excerpt
# OpenFold2 NIM
Predict a single protein-chain structure from an amino-acid sequence, with
optional A3M multiple sequence alignments and mmCIF templates. Use this
guide for basic hosted/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`: model scope, strengths, limitations, and handoffs.
- `references/parameters.md`: MSA, template, model-selection, and relax effects.
- `references/validation.md`: artifact and scientific sanity checks.
- `references/examples.md`: compact hosted/local payload patterns.
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