计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
artifacts-and-registries【效率与协作】Create, log, consume, download, link, and troubleshoot W&B Artifacts and registry/model-registry flows through Python and CLI.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when a task involves versioned datasets, models, files, directories, external object-store references, artifact aliases/tags/types, downloads, artifact CLI commands, or linking artifacts into registries/model registries.
references/workflows.md#create-and-log-versioned-artifacts and references/api-reference.md#artifact-construction for wandb.Artifact, add_file, add_dir, add_reference, and Run.log_artifact patterns.references/workflows.md#consume-and-download-artifacts and references/api-reference.md#artifact-consumption for Run.use_artifact, wandb.Api().artifact, Artifact.download, Artifact.file, and path forms.references/cli-reference.md for wandb artifact put, get, ls, and cache cleanup syntax and path expectations.references/workflows.md#link-artifacts-to-registries and references/api-reference.md#registries-and-linking for Run.link_artifact, Artifact.link, registry paths, aliases, and public API registry helpers.references/troubleshooting.md for invalid names/types, missing files, credentials, optional storage dependencies, alias/version confusion, finalized mutation errors, and registry path/link errors.python sub-skills/artifacts-and-registries/scripts/artifact_manifest_smoke.py --help from the root skill directory to validate names/types and preview a local manifest without upload.This sub-skill covers artifact creation, artifact references, artifact lifecycle operations, artifact CLI usage, registry linking, registry lookup, and storage integration gotchas. For general scalar/media metric logging, use the experiment-tracking sub-skill. For large Public API reporting and automation beyond artifacts/registries, use public-api-and-automation. For launch jobs or sweeps that consume artifacts, use sweeps-and-launch after preparing artifacts here.