"Model Feast entities, fields, data sources, feature views,
Scanned 9/8/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill feature-definitions --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Feature Definitions?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/vectorspacelab-feature-definitions)More formats (shields.io, HTML) on the badges page.
---
name: feature-definitions
description: "Model Feast entities, fields, data sources, feature views,
on-demand/batch/stream transforms, feature services, labels, permissions
basics, validation, and versioning without applying a repo."
disable-model-invocation: true
metadata:
disco-role: operating
license: Apache 2.0
---
# Feature Definitions
Use this sub-skill when the user asks how to define, migrate, validate, or troubleshoot Feast Python definition objects: `Entity`, `Field`, `FileSource`/request/push sources, `FeatureView`, `OnDemandFeatureView`, `BatchFeatureView`, `StreamFeatureView`, `FeatureService`, label-oriented definitions, and permission metadata basics.
## Route First
- Definition modeling, constructors, schema/types, `ttl`, `online`/`offline`, vector metadata, source wiring, ODFV decorators, feature services, and validation errors: stay here.
- Feature repo layout, `feast apply`, `feast plan`, registry commands, and CLI lifecycle: use `../feature-repos-and-cli/SKILL.md`.
- Historical/online retrieval, materialization, `push`, saved datasets, and point-in-time joins: use `../retrieval-and-materialization/SKILL.md`.
- Vector document retrieval or RAG workflow beyond defining vector `Field`s: use `../rag-and-vector-search/SKILL.md`.
- Feature server, remote registry/store, auth enforcement, TLS, and RBAC runtime behavior: use `../servers-and-remote/SKILL.md`.
## Core References
- API signatures and safe snippets: `references/api-reference.md`.
- Data-modeling patterns for entities, fields, sources, feature views, services, labels, and permission metadata: `references/data-modeling.md`.
- Transformations, ODFVs, batch/stream feature views, validation, and versioning: `references/transformations.md`.
- Diagnostics for imports, schema/type/vector mistakes, source wiring, TTL, and service precompute issues: `references/troubleshooting.md`.
## Safe Definition Validation
Run the bundled validator against a Python definitions file before apply/materialization work:
```bash
python skills/disco/feast/sub-skills/feature-definitions/scripts/validate_feature_definitions.py path/to/features.py
```
Expected output lists discovered Feast object types/names and reports local validation warnings/errors. The script imports the installed `feast` package if available, never calls `FeatureStore.apply`, `plan`, `materialize`, `push`, retrieval APIs, or any server command, and does not require a Feast source checkout.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!