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데이터 및 연구 · 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

Skill 문서

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

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