executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
inference-cliRun OmegaFold CLI inference from FASTA to PDB safely, including devices, weights, resources, dry-run validation, and troubleshooting.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this sub-skill when a task needs to run or validate OmegaFold command-line inference from a FASTA file to PDB outputs. Prefer the installed omegafold console script; use the installed-package fallback python -m omegafold only when the console script is unavailable but the package import works.
python scripts/omegafold_cli_smoke.py
python scripts/omegafold_cli_smoke.py --fasta INPUT_FILE.fasta --output-dir OUTPUT_DIRECTORY --model 2 --device cuda
omegafold INPUT_FILE.fasta OUTPUT_DIRECTORY --model 1 --device cuda
OmegaFold, make_config, fasta2inputs, and tensor contracts, route to model-api.omegafold --help is safe: it prints parser help and does not load weights.omegafold INPUT_FILE.fasta OUTPUT_DIRECTORY ... is not a smoke test: argument parsing selects a model, may download weights, then loads a large torch checkpoint before inference.--weights_file, and the selected --device has enough memory.