L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

artifacts-and-registries

artifacts-and-registries

Create, log, consume, download, link, and troubleshoot W&B Artifacts and registry/model-registry flows through Python and CLI.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: artifacts-and-registries description: "Create, log, consume, download, link, and troubleshoot W&B Artifacts and registry/model-registry flows through Python and CLI." disable-model-invocation: true metadata: disco-role: operating license: MIT

W&B Artifacts and Registries

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.

Route by task

  • Create or log artifacts: Use 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.
  • Consume or download artifacts: Use 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.
  • Use artifact CLI: Use references/cli-reference.md for wandb artifact put, get, ls, and cache cleanup syntax and path expectations.
  • Link to registries: Use 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.
  • Debug failures: Use references/troubleshooting.md for invalid names/types, missing files, credentials, optional storage dependencies, alias/version confusion, finalized mutation errors, and registry path/link errors.
  • Offline validation helper: Run 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.

Boundaries

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.

Skills enregistrées