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Skills IA devops data engineering

Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops data engineering

1,177–1,200 sur 1,937

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Explorer

GitHub

airflow-expert

personamanagmentlayer

Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling

GitHub

databricks-expert

personamanagmentlayer

Expert-level Databricks platform, Apache Spark, Delta Lake, MLflow, notebooks, and cluster management

GitHub

snowflake-expert

personamanagmentlayer

Expert-level Snowflake data warehouse platform, virtual warehouses, data sharing, streams, tasks, and SQL optimization

GitHub

kafka-expert

personamanagmentlayer

Expert-level Apache Kafka, event streaming, Kafka Streams, and distributed messaging

GitHub

tableau-expert

personamanagmentlayer

Expert-level Tableau Desktop/Server, calculated fields, LOD expressions, dashboards, data blending, and performance optimization

GitHub

looker-expert

personamanagmentlayer

Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling

GitHub

bsee-data-extractor

vamseeachanta

Extract and process BSEE (Bureau of Safety and Environmental Enforcement) production data. Use for querying oil/gas production data by API number, block, lease, or field with automatic data normalization and ca...

GitHub

flow-trace

MAF2414

Trace data flow across files from source to sink. Use for cross-file taint analysis, understanding how user input reaches dangerous sinks, and documenting vulnerability paths.

GitHub

prisma-database

Intellifill

Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.

GitHub

queue-worker

Intellifill

Bull queue setup, worker processes, job lifecycle, error handling, retries, progress reporting, Redis connection management, and queue patterns for OCR and knowledge processing

GitHub

database

ProfPowell

Design PostgreSQL schemas with migrations, seeding, and documentation. Use when creating tables, writing migrations, or setting up database structure.

GitHub

data-analysis

ScientiaCapital

Executive-grade data analysis with pandas/polars and McKinsey-quality visualizations. Use when analyzing data, building dashboards, creating investor presentations, or calculating SaaS metrics.

GitHub

schema-patterns

jasonkuhrt

Effect Schema conventions and patterns. Triggers on Schema class creation, tagged unions, enums, type guards, or test fixtures using Effect Schema.

GitHub

snowflake-semanticview

webmaxru

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate se...

GitHub

python-polars

tbhb

This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or...

GitHub

beads

arisng

Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...

GitHub

scalar-sync

PrometheusDevCreator

SCALAR hierarchy bidirectional sync patterns for Prometheus. Provides: (1) Canonical data store patterns, (2) Deterministic numbering (1.2.3 format), (3) LessonEditor ↔ ScalarDock sync, (4) Topic/Subtopic CRUD...

GitHub

ai-data-analyst

NicktheQuickFTW

Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...

GitHub

data-querying

NicktheQuickFTW

Query internal data services to answer well-scoped questions, producing results and artifacts that are safe to share and easy to re-run. Use when stakeholders need metrics, trends, or data slices from Supabase,...

GitHub

data-engineering

chekos

Load when working on data pipelines, datasets, reproducibility, or data infrastructure topics. Contains best practices for data engineering, ETL/ELT patterns, and ensuring reproducible data workflows.

GitHub

toon-formatter

synqing

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inlin...

GitHub

db-migration

JanSzewczyk

Generate Firestore data migration scripts for schema changes, field additions, and data transformations. Use when migrating data, adding fields, or restructuring collections.

GitHub

db-explore

alexborgognoni

Safe database exploration using Laravel Boost tools. Use for querying data, understanding schema, checking records, and debugging data issues. Auto-triggers on "query database", "check data", "find records", "d...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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