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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 1,201–1,224 个,共 1,937 个

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GitHub

performing-eda

KevinGastelum

Conducts Exploratory Data Analysis (EDA) on datasets. Use when the user asks to "explore", "clean", or "visualize" a new CSV or dataset.

GitHub

database

varubogu

Database operation rules (SeaORM, migrations, transaction rules, PostgreSQL). Use when working with database, creating migrations, using SeaORM, asking about DB operations, schema changes, queries, or entity de...

GitHub

backend-queries

Software-Design-Club

Write secure, performant database queries using parameterized queries, eager loading, proper indexing, and transactions. Use this skill when writing database query code, ORM query methods, SQL statements, or da...

GitHub

postgresql

muzhicaomingwang

PostgreSQL DBA skill for schema design review, indexing, query tuning (EXPLAIN/ANALYZE), vacuum/autovacuum, concurrency/locking, partitioning, backup/restore, replication/HA, and safe migrations. Use for tasks...

GitHub

data-warehouse

muzhicaomingwang

Data warehouse (大数据/数仓) ops skill for designing and operating analytical data platforms. Use for tasks like defining source-of-truth, building ETL/ELT pipelines, dimensional modeling (star schema), data qu...

GitHub

streaming-output-mcp

ddunnock

Stream structured content to persistent SQLite storage with automatic session break recovery. Core principle: The content IS the state. Every stream_write is automatically persistent. Supports multi-format expo...

GitHub

data-model-designer

lilpacy

概念データモデル(CDM)、論理データモデル(LDM)、物理データモデル(PDM)を段階的に設計・出力するSkill。 「データモデルを作って」「ER図を書いて」「テーブル設計して」「DDLを生成して」「エンティティを整理して」「...

GitHub

database-patterns

allenlin90

Provides Prisma-specific patterns for soft delete, transactions, optimistic locking, bulk operations, and performance optimization. This skill should be used when implementing data persistence, handling concurr...

GitHub

repository-pattern

allenlin90

Provides general guidance for implementing data access layers in backend applications. This skill should be used when designing repositories, implementing query methods, or managing database access patterns.

GitHub

tachikoma-schema

joshuacook

Analyze a Context Lake workspace and propose schema improvements. Use when asked to run schema cleanup, analyze workspace structure, create or update schema.yaml, or identify entity types.

GitHub

supabase-engineer

totalaudiopromo

Database specialist - handles RLS policies, migrations, type generation, and Supabase integration patterns.

GitHub

dataclass-optimization

smith6jt-cop

Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config classes.

GitHub

convex-development

acdc-digital

Expert guidance for Convex backend development including queries, mutations, actions, schema design, and real-time database patterns. Use when working with Convex functions, database operations, or serverless b...

GitHub

url-parameter-parser

feed-mob

Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.

GitHub

schema-validator

AIYAZONE

校验页面实例与Schema定义的一致性(类型/约束/安全),并给出可发布结论。保存页面、预发布检查或批量体检时调用。

GitHub

log-analyzer

ntaksh42

Analyze application logs to detect errors, patterns, anomalies, and generate insights. Use when troubleshooting issues or analyzing system behavior.

GitHub

sql-query-helper

ntaksh42

Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.

GitHub

synthetic-data-generator

ntaksh42

テスト用の合成データ生成スキル。リアルなユーザーデータ、トランザクション、ログ、APIレスポンス等を生成。GDPR準拠、フェイカー連携、スキーマベース生成、時系列データ、異常データ生成に対応。

GitHub

go-temporal

ptdewey

Expert guidance for building workflows and activities with Temporal in Go. Use when working with Temporal SDK, designing durable workflows, handling retries, implementing saga patterns, or debugging Temporal ap...

GitHub

gcp-bq-table-management

FunnelEnvy

Use when creating BigQuery tables, implementing partitioning or clustering, managing table schemas, or optimizing table structure. Covers time-based partitioning, range partitioning, clustering strategies, DDL...

GitHub

data-export-formats

FunnelEnvy

Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.

GitHub

gcp-bq-data-loading

FunnelEnvy

Use when loading data into BigQuery from CSV, JSON, Avro, Parquet files, Cloud Storage, or local files. Covers bq load command, source formats, schema detection, incremental loading, and handling parsing errors...

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