Rdkit conformer generation starter
A framework for discovering, compiling, and validating reusable skills for scientific agents.
npx -y skills add ma-compbio-lab/SkillFoundry --skill rdkit-conformer-generation-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.3 KB, as published. Nobody here has run it
RDKit Conformer Generation Starter
Use this skill to generate a small deterministic conformer ensemble with RDKit ETKDG and summarize the lowest-energy structures.
What it does
- Reads a small TSV of molecules with
nameandsmiles. - Generates multiple 3D conformers per molecule with a fixed random seed.
- Optimizes them with UFF and reports the ranked conformer energies.
- Writes compact JSON suitable for smoke tests or later structure-aware workflows.
When to use it
- You need a verified local starter for
small-molecule conformer generation. - You want a deterministic 3D-geometry precursor before docking, force-field setup, or descriptor work.
Example
./slurm/envs/chem-tools/bin/python skills/computational-chemistry-and-molecular-simulation/rdkit-conformer-generation-starter/scripts/run_rdkit_conformer_generation.py \
--input skills/computational-chemistry-and-molecular-simulation/rdkit-conformer-generation-starter/examples/molecules.tsv \
--num-confs 4 \
--out scratch/rdkit-conformers/summary.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/computational-chemistry-and-molecular-simulation/rdkit-conformer-generation-starter/tests -p 'test_*.py' - Repository smoke target:
make smoke-rdkit-conformers