feast-feature-store
Feature store management skill for online/offline feature serving, feature registration, and training-serving consistency.
npx skills add a5c-ai/babysitter --skill feast-feature-store --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# feast-feature-store ## Overview Feature store management skill using Feast for online/offline feature serving, feature registration, and ensuring training-serving consistency in ML systems. ## Capabilities - Feature definition and registration - Online feature serving setup - Offline feature retrieval for training - Point-in-time correctness validation - Feature freshness monitoring - Entity management - Feature view creation and management - Materialization scheduling ## Target Processes - Feature Store Implementation and Management - Feature Engineering Design and Implementation - Model Training Pipeline ## Tools and Libraries - Feast - Redis (online store) - PostgreSQL/BigQuery/Snowflake (offline store) - Parquet files ## Input Schema ```json { "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["apply", "materialize", "get-online", "get-historical", "list", "teardown"], "description": "Feast action to perform" }, "featureRepo": { "type": "string", "description": "Path to feature repository" }, "features": { "type": "array", "items": { "type": "string" }, "description": "Feature references (feature_view:feature_name)" }, "entityDf":
- Overview
- Capabilities
- Target Processes
- Tools and Libraries
- Input Schema
- Output Schema
- Usage Example
What does the feast-feature-store skill do?
Feature store management skill for online/offline feature serving, feature registration, and training-serving consistency.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill feast-feature-store --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.