Skills for Real Engineers. Straight from my .agents directory.
esmfold2
Agent skill fromaipoch/open-science
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release: masked-LM logits, hidden states, mutation scoring, contact prediction, and the SAE interpretability head. MIT-licensed weights on HuggingFace org `biohub`. Use this skill when: (1) Predicting complex structures with single-sequence input, (2) Validating designed binders with ESMFold2-Fast, (3) Running ESMFold2 with MSA input, (4) Getting ESMC embeddings or per-residue mutation scores, (5) Choosing kernel backend and sampling-step settings for paper-faithful throughput.
How to install esmfold2
npx skills add aipoch/open-science# or add only this skill to Claude Code: copy the folder
resources/skills/esmfold2/
# into
~/.claude/skills/esmfold2/ (all projects)
.claude/skills/esmfold2/ (one project)
1# ESMFold2 (Biohub)23All-atom diffusion co-folding from the Biohub ESM release (2026). ESMFold2 =448 pair layers with MSA support; ESMFold2-Fast = 24 layers, single-sequence5only, ~1.7x faster.67**License:** MIT (code github.com/Biohub/esm + weights HF `biohub/*`).8**Paper:** "Language Modeling Materializes a World Model of Protein Biology" (2026).910## Install1112CUDA 12.x GPU (H100/A100-class); Python **3.12 only**. Fresh venv; needs13egress to HF Hub, GitHub, PyPI:1415```bash16pip install --no-cache-dir uv17uv venv --python 3.12 /work/venv && source /work/venv/bin/activate18uv pip install \19 "torch>=2.5,<2.8" einops "biotite>=1.0" rdkit msgpack-numpy biopython \20 scikit-learn brotli attrs pandas cloudpathlib httpx tenacity zstd pydssp \21 pygtrie accelerate huggingface_hub safetensors "numpy<3" networkx \22 sentencepiece tokenizers regex packaging filelock pyyaml typing_extensions \23 "transformers @ git+https://github.com/Biohub/transformers.git@3a8956fb4d4ea16b0ec8e71deef2c2909b6a5cbf"24uv pip install --no-deps "esm @ git+https://github.com/Biohub/esm.git@f652b471"25# OPTIONAL — only affects ESMC attention; trunk speedup comes from set_kernel_backend("fused")26uv pip install ninja packaging wheel setuptools27MAX_JOBS=8 uv pip install --no-deps --no-build-isolation "flash-attn<3"28# Do NOT install transformer-engine — RuntimeError (not ImportError) on import29# slips ESMC's guard and kills ESMFold2Model import.30```31…
Excerpt shown under the repository's Apache-2.0 license.
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