data-engineering
0
adding-api-sources
Use when implementing a new data source adapter for metapyle, before writing any source code
stabilefrisur
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-engineering
0
etl-pipeline-agent
Designs and implements Extract, Transform, Load pipelines for data processing
Unicorn
data-ai
data-engineering
0
numpy-datetime
Date and time handling with datetime64 and timedelta64, including business day offsets and naive time parsing. Triggers: datetime64, timedelta64, busday, time series, naive time.
cuba6112
data-ai
data-engineering
0
ef-core-configuration
Use this skill when configuring Entity Framework Core entities using the Fluent API.
michaellperry
data-ai
data-engineering
0
fluid-model
在 Windows 环境下按算例(001-264,默认001)修改控制CSV(Boundary等)、就地patch批量job-config、运行 real_predict 并汇总/对比输出。
zly7
data-ai
data-engineering
0
pytest-testing
Pytest testing patterns for data pipelines, Airflow DAGs, and BigQuery queries. Use when writing unit tests for DAG tasks, integration tests with BigQuery, property-based tests with Hypothesis, data contract validation with Pydantic/JSON schemas, performance tests with pytest-benchmark, or snapshot/visual regression tests for data outputs.
ilorozco11
data-ai
data-engineering
0
masterdata-csv-validator
GLOWマスタデータCSVの検証スキル。作成したCSVファイルがDB投入可能か、server/client実装と整合性があるかをテンプレート、DBスキーマと照合してチェックします。マスタデータ、CSV検証、バリデーション、チェックで使用します。
Wonderplanet
data-ai
data-engineering
0
hive-middleware
How to create and use middlewares in Hive framework
paralect
data-ai
data-engineering
0
aurora-criteria
Aurora Criteria Pattern - Complete guide for QueryStatement usage in Aurora/NestJS. Trigger: When implementing queries, filters, searches, pagination, or complex data retrieval.
avvale
data-ai
data-engineering
0
pca-integrator
Constroi servidores MCP (Model Context Protocol) para conectar o Claude ao banco de dados PostgreSQL e APIs do PCA Camocim.
narcisolcf
data-ai
data-engineering
0
use-or-subclass-existing-component
Discover, use, or subclass existing Dagster integration components (dbt, Looker, PowerBI, Fivetran, etc.). Handles configuration-file-based components (dbt, Sling) and API-based components (Fivetran, PowerBI) appropriately. Use only when an existing Dagster component exists within Dagster's integration libraries.
cnolanminich
data-ai
data-engineering
0
cobol-migration-analyzer
Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation strategies. Use when working with mainframe migration, COBOL analysis, legacy system modernization, JCL workflows, or when users mention COBOL to Java conversion, analyzing .cbl/.CBL/.cob files, working with copybooks, or planning Java service implementations from COBOL programs.
DauQuangThanh
data-ai
data-engineering
0
data-validator
Validates data against specified rules including required field checks, email format validation, and numeric type verification. Use when the user needs to verify data integrity, validate form inputs, or check data against business rules.
egermano
data-ai
data-engineering
0
data-quality-rules
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
AmnadTaowsoam
data-ai
data-engineering
0
data-engineering
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
eyadsibai
data-ai
data-engineering
0
pm-04-clean-filter
Apply cleaning and filtering actions based on data quality decisions and generate filtered log artefacts.
Wattysaid
data-ai
data-engineering
0
docs-reconcile
Reconcile normalized CI/PL/BL fields and output mismatch report
macho715
data-ai
data-engineering
0
data-validation-rules
Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
AmnadTaowsoam
data-ai
data-engineering
0
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
LRYuChi
data-ai
data-engineering
0
altinity-expert-clickhouse-dictionaries
Analyze ClickHouse external dictionaries including configuration, memory usage, reload status, and performance. Use for dictionary issues and load failures.
Altinity
data-ai
data-engineering
0
aviation-spatial
SpatiaLite database operations for aviation data. Use when building spatial indexes, running proximity queries, importing airspace GeoJSON, or performing geometric calculations on aviation features like finding airports within radius, airspace containment, or obstacle corridor searches.
KitfoxPilot
data-ai
data-engineering
0
dara-dataset-expert
Warehouse-Prozess-Analyse mit 207 Labels, 47 Prozessen, 8 Szenarien, 10 Triggern. Vollständige Expertise für DaRa Datensatz + REFA-Methodik + Validierungslogik + Szenarioerkennung. 100% faktenbasiert ohne Halluzinationen.
mpone1909
data-ai
data-engineering
0
vkc-drizzle-schema-migration
Standardize Drizzle schema/migration/seed workflow for Viet K-Connect. Use when adding or changing DB tables, especially DB-driven visa rulesets and document templates (no hardcoding).
LEE-SANG-BOK
data-ai
data-engineering
0
plan-replayer-testing
Expertise in adding new test cases for the TiDB plan replayer. Use when the user provides a plan replayer zip file and wants to create a new test.
hawkingrei
data-ai