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
Données et recherche · SKILL.md

client-and-data

client-and-data

Guides Metaflow Client API queries, run/artifact pathspecs, namespaces, metadata providers, datastores, logs, tags, S3 datatools, and IncludeFile data access.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: client-and-data description: "Guides Metaflow Client API queries, run/artifact pathspecs, namespaces, metadata providers, datastores, logs, tags, S3 datatools, and IncludeFile data access." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Client and Data

Use this sub-skill when a task is about inspecting completed Metaflow runs, reading artifacts, switching namespaces or metadata providers, querying tags/logs, using datastores, or accessing S3-style data with Metaflow utilities.

Quick Route

Minimal Query Pattern

from metaflow import Run, namespace

namespace(None)  # disable namespace filtering when intentionally inspecting all local runs
run = Run("MyFlow/123")
print(run["end"].task.data.my_artifact)

Use metadata(...) only when you intentionally switch between local, service, or spin metadata sources.

Boundaries

Skills enregistrées