alphafold
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold…
First-time setup for protein design tools. Use this skill when: (1) User is new and hasn't run any tools yet, (2) Commands fail with "file not found" or "modal: command not found", (3) Modal authentication errors occur, (4) User asks how to get started or set up the environment,
$ npx -y skills add adaptyvbio/protein-design-skills --skill setup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/setupContext preview
The summary Claude sees to decide when to auto-load this skill.
First-time setup for protein design tools. Use this skill when: (1) User is new and hasn't run any tools yet, (2) Commands fail with "file not found" or "modal: command not found", (3) Modal authentication errors occur, (4) User asks how to get started or set up the environment,
name: setup description: > First-time setup for protein design tools. Use this skill when: (1) User is new and hasn't run any tools yet, (2) Commands fail with "file not found" or "modal: command not found", (3) Modal authentication errors occur, (4) User asks how to get started or set up the environment, (5) biomodals directory is missing or tools aren't working. license: MIT category: utilities tags: [setup, onboarding, installation]
Help users get their environment ready to run protein design tools.
Run through this checklist when a user encounters setup issues:
| Step | Check | Fix | |------|-------|-----| | 1. Modal CLI | `modal --version` | `pip install modal` | | 2. Modal auth | `modal token show` | `modal setup` | | 3. biomodals | `ls biomodals/modal_*.py` | `git clone https://github.com/hgbrian/biomodals` | | 4. Test | `cd biomodals && modal run modal_boltzgen.py --help` | See troubleshooting |
**Cause**: Modal CLI not installed.
**Fix**:
pip install modal
Then restart the terminal or run `hash -r`.
**Cause**: Modal not authenticated.
**Fix**:
modal setup
This opens a browser. Click "Authorize" to complete authentication.
**Cause**: biomodals repository not cloned or not in correct directory.
**Fix**:
git clone https://github.com/hgbrian/biomodals cd biomodals
**Cause**: `uvx` is an optional wrapper from the `uv` package. It's not required.
**Fix**: Run modal directly (recommended):
modal run modal_boltzgen.py --help
Or install uv if you prefer using uvx:
pip install uv
pip install modal
Verify: `modal --version`
modal setup
This opens a browser. Click "Authorize".
Verify: `modal token show`
git clone https://github.com/hgbrian/biomodals cd biomodals
Verify: `ls modal_*.py` should show files like `modal_boltzgen.py`
cd biomodals modal run modal_boltzgen.py --help
Expected: Usage instructions appear showing `--input-yaml`, `--protocol`, `--num-designs` options.
Once setup is complete, users can:
cd biomodals # Design binders with BoltzGen (requires YAML config) modal run modal_boltzgen.py --input-yaml binder.yaml --protocol protein-anything --num-designs 50 # Generate backbones with RFdiffusion (official repo, not biomodals) python run_inference.py inference.input_pdb=target.pdb contigmap.contigs=[A1-150/0 70-100] inference.num_designs=100 # Validate with Chai modal run modal_chai1.py --input-faa designs.fasta
Set GPU with environment variable:
GPU=L40S modal run modal_boltzgen.py --input-yaml config.yaml --num-designs 50 GPU=A100 modal run modal_chai1.py --input-faa complex.fasta
| GPU | VRAM | Best For | |-----|------|----------| | T4 | 16GB | ProteinMPNN, ESM | | A10G | 24GB | RFdiffusion, Chai | | L40S | 48GB | BoltzGen, BindCraft | | A100 | 40-80GB | Large complexes |
Modal offers $30/month in free credits - enough for:
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**Full documentation**: See [Getting started](../../docs/getting-started.md)
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