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devops data engineering AI 技能

发现 devops data engineering 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: devops data engineering

显示第 1,561–1,584 个,共 1,937 个

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GitHub

convex-development

janekm

Convex function patterns, validators, queries with indexes, mutations with auth checks, and real-time data. Use when writing Convex queries, mutations, actions, schema changes, or debugging Convex code.

GitHub

pytest-testing

ilorozco11

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 va...

GitHub

airflow-dag

ilorozco11

Apache Airflow DAG development with TaskFlow API, Google Cloud operators (BigQuery, GCS), dbt integration, and dynamic DAG generation. Use when creating or modifying Airflow DAGs, implementing data pipeline orc...

GitHub

bigquery

ilorozco11

BigQuery query optimization, feature engineering, and BigQuery ML models for recommendation systems. Use when writing optimized SQL queries, implementing partitioning/clustering, creating materialized views, en...

GitHub

jenkins-cicd

ilorozco11

Jenkins CI/CD pipelines for data platforms with Kubernetes pod agents. Use when creating Jenkinsfiles, implementing parallel linting stages (Ruff, Black, Mypy), DAG validation with DagBag, security scanning (Ba...

GitHub

postgresql

zzoohub

PostgreSQL problem-solving patterns for production systems. Use when: query optimization, concurrency issues, zero-downtime migrations, scaling decisions, debugging slow queries, implementing patterns from data...

GitHub

upload-file

SnapLogic

Creates Robot Framework test cases for uploading files to SnapLogic SLDB. Use when the user wants to upload files (JSON, CSV, expression libraries, pipelines, JAR files, etc.), needs to know which destination p...

GitHub

upload-file

SnapLogic

Creates Robot Framework test cases for uploading files to SnapLogic SLDB. Use when the user wants to upload files (JSON, CSV, expression libraries, pipelines, JAR files, etc.), needs to know which destination p...

GitHub

supabase-best-practices

jcastillotx

Supabase development standards. Triggers when working with Supabase projects, Row Level Security, real-time subscriptions, or Edge Functions.

GitHub

dba-architect

shaul1991

DBA Architect Agent. 스키마 설계, 정규화, 데이터 모델링을 담당합니다.

GitHub

executive-cdo

shaul1991

Executive CDO Agent. 데이터 전략, 데이터 거버넌스, AI/ML 전략을 담당합니다.

GitHub

data-engineer

shaul1991

Data Engineer Agent. ETL 파이프라인, 데이터 웨어하우스, 데이터 레이크 구축을 담당합니다.

GitHub

test-data-generation-validation

pmcfadin

Generate real Cassandra 5.0 test data using Docker containers, export SSTables with proper directory structure, validate parsing against sstabledump, and manage test datasets. Use when working with test data ge...

GitHub

cassandra-sstable-format-parsing

pmcfadin

Guide parsing of Cassandra 5.0+ SSTable components (Data.db, Index.db, Statistics.db, Summary.db, TOC) with compression support (LZ4, Snappy, Deflate). Use when working with SSTable files, binary format parsing...

GitHub

cql-type-system-schema-handling

pmcfadin

Implement and deserialize all CQL types including primitives (int, text, timestamp, uuid, varint, decimal), collections (list, set, map), tuples, UDTs (user-defined types), and frozen types. Use when working wi...

GitHub

database-schema-architect

sitechfromgeorgia

Expert guidance for designing, optimizing, and maintaining database schemas for SQL and NoSQL systems. Use when creating new databases, optimizing existing schemas, planning migrations, implementing security po...

GitHub

data-engineering

eyadsibai

Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"

GitHub

polars

eyadsibai

Use when "Polars", "fast dataframe", "lazy evaluation", "Arrow backend", or asking about "pandas alternative", "parallel dataframe", "large CSV processing", "ETL pipeline", "expression API"

GitHub

dask

eyadsibai

Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy eval...

GitHub

sql

kprsnt2

SQL and database best practices including query optimization, indexing, and schema design.

GitHub

mongodb

kprsnt2

MongoDB best practices including schema design, indexing, and query optimization.

GitHub

backend-migrations

maksimtereshin

Create and manage database migrations with reversible up/down methods, zero-downtime deployment strategies, and proper schema versioning. Use this skill when creating database migration files, altering table sc...

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