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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 1,633–1,656 个,共 1,937 个

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GitHub

metabase

robBowes

Query and analyze data from Metabase, create/update questions and dashboards, access the Metabase REST API, and troubleshoot Metabase SQL queries. Use when user mentions Metabase, dashboards, metrics, or asks t...

GitHub

data-io-impl

sunbluesome

Implement data I/O with immediate DTO conversion using ILoader/ISaver protocols. Use when: building data loaders, result savers, file handlers, model persistence, or any external I/O operations. Triggers: "load...

GitHub

cli-entrypoint

sunbluesome

Create CLI entrypoints for pipeline execution with local/SageMaker environment support and parallel processing. Use when user requests "CLI作成", "エントリーポイント", "entrypoint", "scripts/entrypoint.py", "コ...

GitHub

running-eda-process

nimrodfisher

Runs Exploratory Data Analysis (EDA) following the mandatory validation workflow. Use when performing data analysis, exploring datasets, validating data quality, or when the user mentions EDA, data exploration,...

GitHub

safe-migrate

creepyblues

Safely creates and applies database migrations with automatic destructive operation detection, backup creation, and rollback generation. This skill should be used when creating database migrations, applying sch...

GitHub

rapidata-use

trojblue

Use for Rapidata Python SDK tasks: authenticate with RapidataClient, submit labeling orders from datasets (compare/classification/ranking/free-text/locate/draw/select-words/timestamp), apply filters/settings/se...

GitHub

sqlmodel-mastery

AbdullahMalik17

Comprehensive SQLModel skill for Python database operations with SQL databases. Use when working with SQLModel for (1) Designing database models and table schemas, (2) Creating relationships between tables (for...

GitHub

data-validator

egermano

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 d...

GitHub

dc-cube-definition

cliftonc

Create and configure Drizzle Cube semantic layer cube definitions with proper security context, measures, dimensions, and joins.

GitHub

fiftyone

atrawog

FiftyOne dataset visualization and curation tool via Podman Quadlet. Multi-container architecture with MongoDB sidecar for dataset persistence. GPU-accelerated for ML workflows. Use when users need to configure...

GitHub

backend-queries

tlabs-xyz

Write efficient, secure database queries using parameterized queries, eager loading, and performance optimizations. Use this skill when writing database queries, implementing data retrieval logic, using ORM que...

GitHub

backend-migrations

tlabs-xyz

Create and manage database migrations following best practices for reversibility, zero-downtime deployments, and safe schema changes. Use this skill when creating new database migrations, writing migration up/d...

GitHub

database-optimization

ils15

Optimize SQL queries, analyze indexes, review Alembic migrations, and identify N+1 problems. Provides query execution plans, index recommendations, and migration best practices for SQLAlchemy async.

GitHub

cobol-to-java-conversion

Factory-Academy

Convert COBOL applications to Java following mainframe modernization best practices. Handles CICS transactions, batch programs, VSAM files, DB2 integration, and data structure migrations. Use when modernizing C...

GitHub

data-engineer

robertlupo1997

Build scalable data pipelines, ETL/ELT processes, and data infrastructure. Use when: (1) designing data architectures or lakehouse patterns, (2) building Spark/Kafka/Flink/Beam pipelines, (3) optimizing Snowfla...

GitHub

data-validation

chaserbreitenbach

Comprehensive data validation framework for testing schema compliance, data quality, and referential integrity. Validates databases, APIs, data pipelines, and file formats. Generates data quality scorecards wit...

GitHub

data-pipeline

p988744

This skill should be used when the user asks to "configure data source", "data from database", "fetch data from API", "scrape web data", "generate training data with LLM", "regenerate data", "data pipeline", "w...

GitHub

galaxy-automation

Delphine-L

BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automati...

GitHub

data-collector

ohall

Pattern for building data source collectors that fetch, transform, and deduplicate incident data from external APIs. Use when adding new data sources, fixing collector bugs, or understanding the data pipeline.

GitHub

drizzle-postgres

ohall

Drizzle ORM patterns with PostgreSQL and PostGIS for spatial data. Covers schema definition, queries, migrations, spatial operations, and upsert patterns. Use when working with database operations, schema chang...

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