floe
floe contient 24 skills collectées depuis Obsidian-Owl, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use when setting up, validating, running, or cleaning up Floe AWS provider testing through infra/aws-provider-tests. Applies to AWS S3 plus AWS Glue provider compatibility work, OpenTofu scaffold operations, AWS readiness checks, and cleanup evidence.
Skill for the Plugins area of floe. 61 symbols across 47 files.
Skill for the Agent_memory area of floe. 108 symbols across 11 files.
Skill for the Base_classes area of floe. 126 symbols across 17 files.
Skill for the Compilation area of floe. 56 symbols across 20 files.
Skill for the Floe_catalog_polaris area of floe. 76 symbols across 17 files.
Skill for the Floe_core area of floe. 87 symbols across 29 files.
Skill for the Floe_iceberg area of floe. 84 symbols across 11 files.
Skill for the Floe_identity_keycloak area of floe. 45 symbols across 6 files.
Skill for the Floe_secrets_infisical area of floe. 58 symbols across 9 files.
Skill for the Lineage area of floe. 43 symbols across 9 files.
Skill for the Network area of floe. 86 symbols across 25 files.
Skill for the Oci area of floe. 339 symbols across 31 files.
Skill for the Platform area of floe. 45 symbols across 19 files.
Skill for the Rbac area of floe. 86 symbols across 21 files.
Skill for the Schemas area of floe. 76 symbols across 30 files.
Skill for the Telemetry area of floe. 43 symbols across 11 files.
Skill for the Validators area of floe. 119 symbols across 13 files.
ALWAYS USE when writing tests, test fixtures, test utilities, or debugging test failures. MUST be loaded before creating pytest tests, integration tests, or test infrastructure. Provides test quality patterns, anti-pattern detection, K8s-native testing guidance, and regression strategies.
Comprehensive technical debt analysis with PR and full-audit modes. Use when reviewing code quality before PR, conducting periodic health checks, or investigating maintainability issues.
ALWAYS USE when working with Dagster assets, resources, IO managers, schedules, sensors, or dbt integration. CRITICAL for: @asset decorators, @dbt_assets, DbtCliResource, ConfigurableResource, IO managers, partitions. Enforces CATALOG-AS-CONTROL-PLANE architecture - ALL Iceberg writes via catalog (Polaris/Glue). Provides pluggable orchestration patterns abstractable to Airflow/Prefect. Compute abstraction: DuckDB (default), Spark, Snowflake - all via dbt.
ALWAYS USE when working with dbt models, SQL transformations, tests, snapshots, or macros. Use IMMEDIATELY when editing dbt_project.yml, profiles.yml, or creating SQL models. MUST be loaded before any transform-layer work. Enforces dbt owns SQL principle - never parse, validate, or transform SQL in Python.
ALWAYS USE when working with Pydantic models, BaseModel, Field, validators, or data contracts. MUST be loaded before creating any Pydantic schemas, configuration classes, or API contracts. Provides v2 syntax validation and SDK research steps.
ALWAYS USE when working with Helm charts, Kubernetes deployments, kubectl commands, pod debugging, or container logs. Provides context-efficient strategies for chart development, K8s troubleshooting, and log analysis. MUST be loaded before any Helm or K8s work.