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Skills IA tools data engineering

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

Catégories: tools data engineering

889–912 sur 1,853

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GitHub

planetscale

mgd34msu

Implements PlanetScale serverless MySQL with branching workflows, non-blocking schema changes, and Prisma integration. Use when building apps with PlanetScale, implementing database branching, or needing server...

GitHub

sanity

mgd34msu

Manages structured content with Sanity headless CMS using GROQ queries and real-time collaboration. Use when building content-driven sites with customizable schemas, live previews, and flexible data modeling.

GitHub

inbox-processing-expert

nathanvale

Expert guidance for building and maintaining the Para Obsidian inbox processing system - a security-hardened automation framework for processing PDFs and attachments with AI-powered metadata extraction. Use whe...

GitHub

arc-container

cwensel

Docker container management for Qdrant and MeiliSearch services. Use when user mentions starting services, stopping services, checking container status, viewing logs, restarting containers, or resetting databas...

GitHub

duckdb

PovertyAction

This skill should be used when users need to work with the DuckDB CLI for querying, analyzing, or transforming data. Use this skill for executing SQL queries, importing/exporting data, configuring DuckDB settin...

GitHub

openapi-toolkit-chromadb-dart

davidmigloz

Automates updating chromadb when ChromaDB OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (...

GitHub

writing-programs

tenzir

Write TQL programs with documentation guidance. Use when writing TQL code, looking up operators or functions, asking about syntax, or building data pipelines.

GitHub

zarr-python

hxk622

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

GitHub

vaex

hxk622

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient vi...

GitHub

polars

hxk622

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ET...

GitHub

dask

hxk622

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integ...

GitHub

sentry

Uzaaft

Queries Sentry for issues, events, traces, and error analysis. Use when debugging production errors, searching issues, analyzing traces, or getting AI root cause analysis with Seer.

GitHub

brokle-migration-workflow

brokle-ai

Use this skill when creating, running, or managing database migrations for PostgreSQL or ClickHouse. This includes creating new migrations, running migrations, checking migration status, rollback operations, se...

GitHub

workflow-patterns

Integrum-Global

Industry-specific workflow patterns and templates for finance, healthcare, logistics, manufacturing, retail, and common use cases like AI document processing, API integration, business rules, ETL, RAG, security...

GitHub

architecture-decisions

Integrum-Global

Architecture decision guides for Kailash SDK including framework selection (Core SDK vs DataFlow vs Nexus vs Kaizen), runtime selection (Async vs Sync), database selection (PostgreSQL vs SQLite), node selection...

GitHub

dataflow

Integrum-Global

Kailash DataFlow - zero-config database framework with automatic model-to-node generation. Use when asking about 'database operations', 'DataFlow', 'database models', 'CRUD operations', 'bulk operations', 'data...

GitHub

lumen-ai

robertpelloni

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents...

GitHub

lumen-dashboards

robertpelloni

Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating...

GitHub

etl-design

dasien

Design extract-transform-load patterns, data pipeline orchestration, and incremental loading strategies

GitHub

data-modeling

dasien

Design dimensional models, star/snowflake schemas, and data warehouse structures for analytics and reporting

GitHub

convex-development

phrazzld

Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex c...

GitHub

database-design

akaszubski

Database schema design, migrations, query optimization, and ORM patterns. Use when designing database schemas, writing migrations, optimizing queries, or working with ORMs like SQLAlchemy or Django ORM.

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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