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Sklearn Pipeline Builder

sklearn-pipeline-builder

jeremylongshore/claude-code-plugins-plus-skills

Automates sklearn pipeline builder tasks within ML training, activating on relevant triggers to guide data prep, model training, hyperparameter tuning, and experiment tracking with production-ready code and standards validation.

Snowflake Data Automation

snowflake-automation

ComposioHQ/awesome-claude-skills

Automates Snowflake data warehouse workflows via the Composio MCP, letting you list databases, schemas, and tables, run SQL (SELECT, DDL, DML), and integrate those operations into cross-app pipelines for faster data ops.

Software Architecture Best Practices Guide

software-architecture

sickn33/antigravity-awesome-skills

This skill provides comprehensive guidelines for architecting and developing high-quality, maintainable software. It is deeply rooted in Clean Architecture and Domain-Driven Design (DDD) principles. It covers best practices for code decomposition, naming conventions, separation of concerns, and avoiding common anti-patterns. Use this skill when designing, analyzing, or developing complex, domain-specific software systems.

Sourcegraph Automation Toolkit

sourcegraph-automation

ComposioHQ/awesome-claude-skills

Streamlines Sourcegraph workflows through Rube MCP and the Composio toolchain, ensuring you discover current tool schemas, verify connections, and execute multi-step operations with correct schema-aligned arguments and session reuse.

Spark Performance Engineer

Jeffallan/claude-skills

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Spark Job Creator

spark-job-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates spark job creation within data pipelines by guiding etl, transformation, orchestration, and streaming workflows; includes industry best practices, code templates, and validation to deliver production-ready jobs.

Spark Job Optimization and Tuning

spark-optimization

sickn33/antigravity-awesome-skills

This guide provides advanced patterns and best practices for optimizing Apache Spark jobs. It covers critical areas like effective partitioning, memory tuning, minimizing data skew, and optimizing different types of joins (broadcast, bucket). Use this when troubleshooting slow, large-scale data processing workflows or needing to scale Spark pipelines efficiently and reliably.

Spark Sql Optimizer

spark-sql-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates Spark SQL optimizer tasks in data pipelines by guiding best practices, producing production-ready code and configurations, and validating ETL, transformation, orchestration, and streaming workflows.

Speak CI Integration Pipeline Setup

speak-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This guide details setting up a robust CI integration pipeline for Speak language learning platform integrations. It utilizes GitHub Actions with mocked API testing and audio validation to ensure code reliability and functional correctness before deployment. Ideal for developers managing complex language learning products and APIs.

Speak API Cost Tuning Guide

speak-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for optimizing costs when integrating the Speak API. This skill covers usage monitoring, selecting optimal API tiers, and implementing efficient audio processing pipelines. It is essential for developers managing language learning platform operations to ensure cost efficiency while maintaining high performance.

Manage Student Data for Language Learning

speak-data-handling

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive guide for securely handling student audio data, assessment records, and learning progress within the Speak platform. It focuses on implementing robust data pipelines while ensuring compliance with international privacy regulations such as GDPR and COPPA. Essential for developers integrating or maintaining language learning applications.

Deploy Speak Language Learning Integration

speak-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines the end-to-end process for deploying Speak language learning features to modern cloud environments, including Vercel, Cloud Run, or containerized setups. It covers initial configuration, implementing the core logic using TypeScript, and performing production verification. Use this skill when setting up a new Speak integration in a production environment or managing the platform's deployment lifecycle.

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