🎯Skills60
Auto-generated agent skill collection from trending data engineering open source projects on GitHub, with skills installable via the skills.sh registry and updated every 30 minutes.
A collection of auto-generated agent skills derived from the fastest-growing data engineering open source projects on GitHub, including skills for Apache Airflow orchestration, data engineering bootcamp workflows, and analytics toolkits, installable via the skills CLI.
An auto-generated agent skill from the ara.so data engineering collection, sourced from trending data engineering open source projects on GitHub. The collection is scanned and updated every 30 minutes.
An auto-generated data engineering skill for Roblox Murder Mystery 2 analytics, part of a collection that scans GitHub for trending data engineering projects and creates installable agent skills from them.
An analytics toolkit for Roblox Murder Mystery 2 that provides inventory management, gameplay statistics dashboards, win/loss tracking, and AI-powered strategy optimization through data visualization and pattern analysis.
An auto-generated data engineering skill for Roblox Murder Mystery 2 analytics tracking, part of a collection that scans GitHub for trending data engineering projects and converts them into installable agent skills.
An auto-generated data engineering skill from the Aradotso data-skills collection that provides an analytics dashboard for Roblox Murder Mystery 2 (MM2), sourced from trending data engineering repositories on GitHub.
An auto-generated data engineering skill that provides analytics tools for tracking and analyzing Murder Mystery 2 (Roblox) game data and item values.
An auto-generated data engineering skill for performing analytics on Murder Mystery 2 Roblox game metrics, including item trading data and player statistics.
An auto-generated data engineering skill for tracking Murder Mystery 2 Roblox game statistics and monitoring player data trends over time.
An intelligent public opinion analysis skill that integrates real-time data from 15 mainstream platforms across 26 ranking lists with LLM-powered content analysis, topic clustering, sentiment analysis, and multi-channel push notifications via WeChat, Telegram, and email.
A public opinion analytics platform that crawls real-time data from 26 hot lists across 15 mainstream platforms (Weibo, Bilibili, Zhihu, etc.) and combines it with LLM analysis for topic clustering, sentiment analysis, and multi-channel alerting.
An auto-generated skill based on a trending options analytics agent built with LangGraph, enabling AI agents to apply financial options analysis workflows.
An auto-generated agent skill from the data-skills collection, sourced from a trending data engineering repository on GitHub and updated continuously by a bot that scans for the fastest-growing projects.
An auto-generated agent skill in the data-skills collection, sourced from a trending data engineering study material repository on GitHub and updated by a bot that scans for the fastest-growing projects every 30 minutes.
An auto-generated skill from the Data Skills collection, sourced from AltimateAI's data engineering skills repository, providing AI agents with data engineering workflows and best practices.
An auto-generated agent skill derived from a trending data engineering portfolio project on GitHub, part of a collection that scans and packages top data engineering repos as installable skills.
An auto-generated skill from the Data Skills collection focused on employee performance analytics and HR data engineering, helping AI agents build and work with HR analytics pipelines.
An end-to-end enterprise data engineering pipeline combining SSIS for ETL orchestration, SQL Server with star schema data warehouse design, and PySpark for big data analytics and aggregation.
A data engineering skill that helps build ETL pipelines and analytics dashboards using the Harvard Art Museums API, covering API integration with pagination, SQL database design, 20+ analytical queries, and interactive Streamlit visualization with Plotly charts.
A skill for building end-to-end real-time data engineering pipelines using Apache Kafka for event streaming, PostgreSQL with Medallion Architecture (Bronze/Silver/Gold layers), Apache Airflow for ELT orchestration, and Streamlit for live analytics visualization.
An end-to-end data engineering pipeline skill implementing the Medallion Architecture (Bronze/Silver/Gold) using MinIO, Airbyte, PostgreSQL, DBT, Apache Airflow, and Grafana for data ingestion, transformation, orchestration, and monitoring.
A complete data engineering skill that demonstrates ETL pipelines using the Harvard Art Museums API, transforming nested JSON artifact metadata into relational SQL tables and providing an interactive Streamlit dashboard with 20+ analytical queries and Plotly visualizations.
A skill for building end-to-end ETL pipelines that extract artifact data from the Harvard Art Museums API, transform it into relational tables in MySQL/TiDB Cloud, and visualize results via an interactive Streamlit dashboard with 20+ predefined analytical SQL queries.
A skill for building an end-to-end ETL pipeline that extracts artifact data from the Harvard Art Museums API, transforms it into relational tables, loads it into a SQL database, and visualizes it with an interactive Streamlit dashboard. It demonstrates real-world data engineering patterns including API ingestion, SQL analytics, and Plotly-based data visualization.
An auto-generated agent skill from the Data Skills collection by ara.so, sourced from trending data engineering projects on GitHub — a bot scans every 30 minutes for new repos and generates installable SKILL.md files.
An auto-generated agent skill from the Data Skills collection by ara.so, sourced from trending data engineering projects on GitHub — a bot scans every 30 minutes for new repos and generates installable SKILL.md files.
A skill for building an end-to-end ETL pipeline that extracts artifact data from the Harvard Art Museums API, transforms it into relational structures, loads it into MySQL/TiDB Cloud, and visualizes the collection through an interactive Streamlit analytics dashboard.
An auto-generated agent skills collection by ara.so that tracks trending data engineering open source projects on GitHub and publishes installable SKILL.md files for the highest-ranked new repositories, refreshed every 30 minutes.
An auto-generated collection of agent skills sourced from the fastest-growing data engineering open source projects on GitHub, curated by ara.so. A bot scans GitHub every 30 minutes, ranks trending repositories by stars per day, and publishes an installable SKILL.md for the top new project.
A curated collection of auto-generated agent skills sourced from the fastest-growing data engineering open source projects on GitHub, refreshed every 30 minutes by a bot that ranks repos by stars-per-day. Skills cover tools like Apache Airflow, data engineering bootcamps, and analytics platforms, all installable via the skills.sh registry.
A collection of auto-generated agent skills sourced from the fastest-growing data engineering open source projects on GitHub, refreshed every 30 minutes by scanning for trending repos and writing installable SKILL.md files for the top new entries. Covers a wide range of data engineering tools and frameworks.
A skill for data engineering and analytics workflows built around the Harvard Artifacts Collection dataset, enabling ETL pipelines and analytical app development.
A skill for building ETL pipelines and Streamlit-based interactive analytics dashboards around the Harvard Artifacts Collection dataset.
An auto-generated data engineering skill from the ara.so trending-skills collection, sourced from the Harvard Artifacts Collection Data Engineering Analytics App project for building data pipelines around Harvard Art Museums data.
An auto-generated agent skill for Terraform-based data engineering infrastructure, part of the Aradotso data-skills collection that scans GitHub every 30 minutes for trending data engineering repositories and creates installable agent skills.
Guides data engineers through Infrastructure-as-Code patterns using Terraform to provision and manage AWS resources including S3 buckets, EC2 instances, and IAM configurations.
Provides Infrastructure-as-Code templates using Terraform for data engineering workloads on AWS, demonstrating how to provision S3, EC2, and IAM resources with state management.
An auto-generated skill based on the Harvard Artifacts Collection Data Engineering & Analytics App, providing guidance on building ETL data pipelines for Harvard Art Museums artifact data.
Demonstrates Infrastructure-as-Code fundamentals for data engineering using Terraform to provision AWS S3 buckets for data lake storage and EC2 instances for data processing.
Infrastructure-as-Code templates and patterns for data engineers using Terraform to provision AWS resources, focusing on S3 data storage, EC2 processing, and IAM access management.
An auto-generated agent skill from a curated data engineering skills collection that scans trending GitHub repositories to create installable SKILL.md files for top data engineering tools and projects.
An auto-generated agent skill from the ara.so data engineering skill collection, which scans GitHub for trending data engineering repos and generates installable SKILL.md files for top projects.
Part of a data engineering skills collection auto-generated from trending GitHub repositories. A bot scans GitHub every 30 minutes for trending data engineering projects and writes installable SKILL.md files for them.
Auto-generated agent skills from trending data engineering open-source projects on GitHub. A bot scans GitHub every 30 minutes for fast-growing repos and produces installable SKILL.md files for each.
An auto-generated data engineering skill from ara.so that provides guidance for building ETL pipelines based on the Harvard Artifacts Collection Data Engineering Analytics App project. Part of a collection that scans GitHub every 30 minutes for trending data engineering repos and generates installable agent skills.
Demonstrates a complete analytics engineering workflow using Snowflake, dbt, and Streamlit — loading Inside Airbnb data through a layered dbt architecture (staging → intermediate → marts) with incremental modeling and data quality tests.
An auto-generated agent skill from Aradotso's data skills collection covering data engineering patterns for Microsoft Fabric and Databricks, drawn from trending open-source projects in the data engineering space.
An auto-generated agent skill from Aradotso's data skills collection that covers game analytics platforms with computer vision capabilities, based on trending data engineering open-source projects.
An auto-generated agent skill from Aradotso's data skills collection covering CI/CD infrastructure patterns for data engineering pipelines, based on trending open-source projects.
Auto-generated agent skill based on the Manali0711/Harvard-Artifacts-Collection-Data-Engineering-Analytics-App project, part of a bot-curated collection that tracks trending data engineering repositories on GitHub and converts them into installable SKILL.md files.
An auto-generated agent skill from the Aradotso data-skills collection, built from trending data engineering open-source projects on GitHub. Part of a curated set of installable skills for AI coding agents focused on data engineering workflows.
Auto-generated agent skills from trending data engineering open source projects on GitHub by ara.so. A bot scans GitHub every 30 minutes for trending repos in the data engineering niche, ranks them by stars/day, and produces installable SKILL.md files for top discoveries.
Auto-generated agent skills from the fastest-growing data engineering open source projects on GitHub, curated by ara.so. A bot scans GitHub every 30 minutes for trending repos in the data engineering niche, ranks them by stars per day, and creates installable SKILL.md files for the top discoveries.
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