Individual skill
fair-esm2
Embed proteins with Meta AI's ESM-2 (`fair-esm` package). Use this skill when: (1) Extracting per-residue or per-sequence embeddings for downstream ML, (2) Masked-LM likelihood / mutation effect scoring, (3) Contact prediction from a sequence.
resources/skills/fair-esm2/SKILL.md
Source commit 357d1a980056e191f380d0e01ec4fbc7cf529d1b
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- Yes
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 5,500
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-for-science Repository topic
- local-first Repository topic
- reproducible-research Repository topic
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- model-agnostic Repository topic
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- engineering Derived category
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# fair-esm2 — ESM-2 (Meta AI)
ESM-2 code and weights are MIT (Meta AI, github.com/facebookresearch/esm).
> **Package disambiguation.** `pip install fair-esm` gives you `import esm`
> with `esm.pretrained.*` (ESM-1/2). Biohub's github.com/Biohub/esm fork
> (MIT) gives you `from esm.models.esmfold2 import ESMFold2InputBuilder` —
> see the **`esmfold2`** skill. Both share the `esm` namespace but are
> different libraries. This skill covers **fair-esm** (the Meta package).
## Prerequisites
| Requirement | Minimum | Recommended |
| ----------- | ----------------------- | ------------------ |