技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
client-and-data【数据与研究】Guides Metaflow Client API queries, run/artifact pathspecs, namespaces, metadata providers, datastores, logs, tags, S3 datatools, and IncludeFile data access.
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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.
references/client-api.md for Flow, Run, Step, Task, DataArtifact, pathspecs, namespaces, and metadata control.references/data-and-datastores.md for local/S3/Azure/GS/spin datastores, S3, and IncludeFile data behavior.references/configuration.md for public, non-secret METAFLOW_* configuration surfaces.references/troubleshooting.md for MetaflowNotFound, namespace mismatch, S3 access, logs, and local datastore confusion.scripts/client_query_smoke.py to create a tiny local run and query an artifact through the Client API.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.
../flow-authoring/SKILL.md.../cards-and-observability/SKILL.md.../deployment-orchestration/SKILL.md.