Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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Use this skill for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection. Covers the local AlphaFold 3 inference package, its JSON dialect, run_alphafold workflow, outputs, troubleshooting, and safe helper scripts.
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Review the instructions the agent will receive before you install.
Use this repo skill when a user asks an agent to work with AlphaFold 3 inference workflows: preparing fold-input JSON, planning or debugging prediction runs, interpreting output directories, or writing safe Python tooling around the package.
AlphaFold 3 full prediction is operationally heavy. It requires Linux, model parameters obtained under the AlphaFold 3 terms, genetic databases, HMMER tools, compatible JAX/CUDA runtime, and an NVIDIA GPU for inference. Do not run full inference, download databases, mount disks, or fetch model weights unless the user explicitly asks and the environment is ready.
sub-skills/input-preparation/ when constructing, validating, converting, or troubleshooting AlphaFold 3 input JSON.sub-skills/running-predictions/ when planning Docker/local commands, split data-pipeline/inference runs, database/model paths, GPU flags, HMMER tools, or runtime preflight checks.sub-skills/output-interpretation/ when inspecting result directories, ranking predictions, explaining confidence JSONs, embeddings, distograms, compression, or missing output files.sub-skills/python-apis/ when coding against AlphaFold 3 internals such as folding_input.Input, DataPipelineConfig, make_model_config, process_fold_input, ModelRunner, or structure/mmCIF utilities.For a local Python installation, start with a safe import/resource check rather than a prediction run:
python scripts/check_install.py
If the package imports fail, read references/troubleshooting.md. If the input JSON is the suspected problem, use sub-skills/input-preparation/scripts/validate_fold_input.py. If runtime paths or binaries are suspected, use sub-skills/running-predictions/scripts/check_runtime_requirements.py.
| User asks for | Read first | Useful bundled helper |
|---|---|---|
| “Create an AF3 JSON for a protein-ligand complex” | sub-skills/input-preparation/SKILL.md | sub-skills/input-preparation/scripts/validate_fold_input.py |
| “Convert/check AlphaFold Server JSON” | sub-skills/input-preparation/references/input-json.md | sub-skills/input-preparation/scripts/validate_fold_input.py |
| “Run only the data pipeline on CPU” | sub-skills/running-predictions/SKILL.md | sub-skills/running-predictions/scripts/build_run_command.py |
| “Debug missing HMMER/database/model paths” | sub-skills/running-predictions/references/troubleshooting.md | sub-skills/running-predictions/scripts/check_runtime_requirements.py |
| “Explain ranking_scores.csv or ipTM/pLDDT/PAE” | sub-skills/output-interpretation/SKILL.md | sub-skills/output-interpretation/scripts/summarize_outputs.py |
| “Use AlphaFold3 APIs in Python” | sub-skills/python-apis/SKILL.md | sub-skills/python-apis/scripts/inspect_alphafold3_api.py |
alphafold3.3.0.3.>=3.12.run_alphafold.py in source distributions or containers.build_data, used to generate internal CCD pickle resources from packaged components.cif data when needed.fetch_databases.sh, SSD mount/copy helpers, Docker build, and full run_alphafold.py runs as user-approved operational actions, not default validation.references/capability-map.md for the coverage map and ownership boundaries.references/troubleshooting.md for cross-cutting install/import/resource/runtime problems.references/repo-provenance.md to decide whether this skill may be stale against a changed AlphaFold 3 checkout.No reviews yet. Tell others what you thought.
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Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
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