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name: integrations-and-extensibility description: "Use when selecting or configuring Feast optional stores, providers, compute engines, dbt, MLflow, OpenLineage, data quality monitoring, or custom provider/store/engine extensions." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Feast Integrations and Extensibility

Use this sub-skill for requests like:

• "Which Feast extra do I need for Snowflake and Redis?"
• "Configure Ray/Spark/Snowflake/Flink as a compute engine."
• "Import feature views from dbt."
• "Enable MLflow, OpenLineage, or Great Expectations validation."
• "Design a custom online/offline store, provider, or compute engine."

Route First

• Feature repository lifecycle, feast init, feature_store.yaml basics, feast apply, and feast plan: use ../feature-repos-and-cli/SKILL.md.
• Concrete historical retrieval, online retrieval, materialize, materialize-incremental, push, or local E2E examples: use ../retrieval-and-materialization/SKILL.md.
• Feature server, offline server, registry server, remote store clients, TLS/auth/RBAC serving: use ../servers-and-remote/SKILL.md.
• Vector DB/RAG store selection: use ../rag-and-vector-search/SKILL.md, then return here for backend extras.
• Contributing a store/engine/provider to Feast itself, tests, lint, docs, or PR mechanics: use ../repo-development/SKILL.md.

Core References

• Store, provider, compute engine, and optional extra selection: references/store-and-provider-matrix.md.
• Custom extension interfaces and implementation checklists: references/extensibility.md.
• dbt, MLflow, OpenLineage, and DQM workflows: references/integrations.md.
• Install, import, config, credential, and workflow failure diagnosis: references/troubleshooting.md.

Safe Helper

Run python scripts/check_optional_extra.py --help from this sub-skill directory to inspect required imports for selected extras/backends. The script does not install packages or connect to services.