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
cli-servingOperate the alphafold3_pytorch CLI and alphafold3_pytorch_app Gradio entry points, construct safe multimolecule commands, and diagnose checkpoint, device, output, entity, cache, and precision behavior.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this sub-skill when the task is to plan or operate the package's two console entry points, construct a command without executing it, or explain the local Gradio application's entity and cache lifecycle.
init_and_load, tensor shapes, or
inference internals, use model-inference.Alphafold3Input semantics, ligand chemistry, ion handling,
or output structure conversion, use
input-representation.--protein, --rna,
and --dna once per entity; pass Click's boolean value explicitly when
using --use-cuda.build_cli_command.py. The helper validates
inputs and prints only a shell-quoted command; it never imports the package,
runs inference, creates output directories, or launches Gradio.The CLI writes a structure as mmCIF. The app writes per-session PDB files for
its molecule viewer. Neither entry point supplies a dry-run inference mode.
The app's --precision argument is accepted for compatibility/documentation,
but the current executable code does not convert model device or dtype; do not
claim that it enables mixed precision, quantization, or CUDA.