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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

1,585–1,608 sur 1,853

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Explorer

GitHub

spark-docker

wellcomecollection

Manage Docker Spark infrastructure for local development or production (S3). Use this skill to start, stop, or check status of Spark clusters. Invoke with /spark-docker.

GitHub

data-explore

wellcomecollection

Explore Hive tables and datasets in the Wellcome Collection data warehouse. Use this skill to query tables, understand schemas, or analyze data distributions. Invoke with /data-explore.

GitHub

database-skill

leenBaksh

Design database schemas, create tables, manage migrations, and optimize database structures. Use for relational and non-relational database implementations.

GitHub

data-pipeline-patterns

colingwuyu

Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.

GitHub

reviewing-objectstar

JohnnyVicious

Analyze, refactor, and migrate TIBCO Objectstar (Object Service Broker) legacy mainframe applications. Use when working with Objectstar/OSB source code files, rules, screen definitions, or table definitions. Tr...

GitHub

analyzing-objectstar

JohnnyVicious

Skill for understanding, editing, analyzing, and migrating TIBCO Objectstar (Object Service Broker) code used in mainframe OTP and batch applications. Activate when user is working with Objectstar rules, asks a...

GitHub

diagram-gen

DennisToma

Generate architecture, sequence, state, and ERD diagrams for code understanding. Use when user wants to visualize code structure or document systems.

GitHub

dagster-local

alexismanuel

Interact with Dagster data orchestration platform running locally or on Kubernetes. Use when Claude needs to monitor Dagster runs, get run logs, list assets/jobs, materialize assets, launch jobs, or debug pipel...

GitHub

duckdb-data-explorer

alexismanuel

This skill should be used when performing local data exploration, profiling, quality analysis, or transformation tasks using DuckDB. It handles CSV, Parquet, and JSON files, provides automated data quality repo...

GitHub

backend-async-operations

cotw-fabier

Your approach to handling backend async operations. Use this skill when working on files where backend async operations comes into play.

GitHub

data-connector

argythana

Connect to and inspect data sources. Use this skill when you need to verify data access, inspect table schemas, check row counts, or understand the structure of a dataset before performing analysis.

GitHub

eda

argythana

Exploratory Data Analysis for tabular data. Use this skill when analyzing value distributions, checking for missing data, computing correlations, examining class balance, or generating data quality reports.

GitHub

running-log

jcmrs

Persistent schema-driven running log with three-component architecture - quick-capture ideas, AI auto-detection, and backlog review librarian

GitHub

python-pydantic-coding-agent

TheApolloProject

A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and settings. Use this skill for structured data modeling, API schema generation, validation log...

GitHub

sqlalchemy-coding-agent

TheApolloProject

Turn the model into a SQLAlchemy-focused Python coding agent for designing models, writing queries, debugging database issues, and integrating SQLAlchemy with Alembic and FastAPI in new or existing Python proje...

GitHub

agentdb-state-manager

stharrold

Persistent state management using AgentDB (DuckDB) for workflow analytics and checkpoints. Provides read-only analytics cache synchronized from TODO_*.md files, enabling: - Complex dependency graph queries - H...

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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