Run RosettaCommons Foundry in Docker for RFdiffusion3 constrained design.
npx skills add https://github.com/yjcyxky/biominer-skills --skill foundry-yjcyxky
Please help me install this Agent Skill. Skill: foundry Source: https://github.com/yjcyxky/biominer-skills/tree/main/foundry Command: npx skills add https://github.com/yjcyxky/biominer-skills --skill foundry-yjcyxky
This Skill enables running RosettaCommons Foundry in Docker to support RFdiffusion3 constrained design and related workflows.
Use the Foundry docker run pattern to start a session and run rfd3 on a provided spec, ensuring /data is mounted for checkpoints and outputs.
High-intent search queries and answers about installing and using this skill.
Manage RFdiffusion3 checkpoints using the Foundry CLI to list and install required models. Checkpoints are stored on host-mounted /data paths, ensuring they persist and are accessible for inference inside the Docker container.
You need a Docker-enabled environment, the RosettaCommons Foundry image, and access to host-mounted /data paths. These prerequisites ensure the container can access installed checkpoints and write design outputs correctly.
Yes, Foundry supports small-molecule design workflows using documented templates and the rfd3 CLI. You specify the design scenario and constraints via JSON or YAML specs, which are processed inside the Docker container.
Yes, Foundry requires a Docker-enabled environment to run. You need the Foundry image, access to host-mounted /data paths for checkpoints, and the rfd3 CLI to execute RFdiffusion3 constrained design workflows.
alex-hhGenerate atomic-level protein binders for 15-PGDH using RFdiffusion3 on Lyceum.
ANakaBuild interactive RFD3 configurations for PyMOL-based protein design workflows.
adaptyvbioPredict protein structures from FASTA sequences using Chai-1.
alex-hhAutomate protein binder design rounds with BoltzGen or RFdiffusion3 on Modal GPUs.
