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feast-dev
GitHub 创作者资料

feast-dev

按仓库查看 1 个 GitHub 仓库中的 5 个已收集 skills,并展示近似职业覆盖。

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1
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1
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2026-05-03
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#001
feast
5 个 skills7.1k1.3k更新于 2026-05-03
占该创作者 100%
feast-architecture
软件开发工程师

Internals of the Feast codebase — how each component works, where the key abstractions live, and the data flow through the system. Use when asked how feast apply works, how the registry stores data, how materialization moves data, how get_online_features retrieves features, how the feature server works, how the Kubernetes operator manages deployments, or when navigating the codebase to understand where to make a change.

2026-05-03
feast-dev
软件开发工程师

Development guide for contributing to the Feast codebase. Covers environment setup, testing, linting, project structure, and PR workflow for feast-dev/feast.

2026-05-03
feast-testing
软件质量保证分析师与测试员

How to test and debug Feast — running targeted tests, writing unit tests for new components, debugging registry and online store issues, and inspecting live feature store state. Use when writing tests for a new feature, debugging a failing test, investigating a runtime error, or verifying that a change works correctly end-to-end.

2026-05-03
feast-user-guide
软件开发工程师

Guide for working with Feast (Feature Store) — defining features, configuring feature_store.yaml, retrieving features online/offline, using the CLI, and building RAG retrieval pipelines. Use when the user asks about creating entities, feature views, on-demand feature views, stream feature views, feature services, data sources, feature_store.yaml configuration, feast apply/materialize commands, online or historical feature retrieval, or vector-based document retrieval with Feast.

2026-05-03
feast-user-guide
软件开发工程师

Guide for working with Feast (Feature Store) — defining features, configuring feature_store.yaml, retrieving features online/offline, using the CLI, and building RAG retrieval pipelines. Use when the user asks about creating entities, feature views, on-demand feature views, stream feature views, feature services, data sources, feature_store.yaml configuration, feast apply/materialize commands, online or historical feature retrieval, or vector-based document retrieval with Feast.

2026-05-03
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feast-dev GitHub Skills | SkillsMP