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Scaling Pandas with Dask

K-Dense-AI/claude-scientific-skills

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

PyTorch Lightning Toolkit

pytorch-lightning

K-Dense-AI/claude-scientific-skills

PyTorch Lightning Toolkit streamlines PyTorch model training by organizing LightningModules, LightningDataModules, Trainer configs, callbacks, logging, and distributed strategies for scalable multi-GPU/TPU runs in research or production workflows.

Temporal Go Pro Guide

temporal-golang-pro

sickn33/antigravity-awesome-skills

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Go gRPC Best Practices

samber/cc-skills-golang

Guides Go distributed-system engineers through protobuf layout, interceptor design, error handling, TLS/mTLS setup, bufconn testing, and streaming RPC patterns so they can implement, review, and debug real-world gRPC servers and clients with production-grade operability.

Aspire Distributed Orchestration

github/awesome-copilot

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.

Cloud Design Patterns Guide

cloud-design-patterns

github/awesome-copilot

Catalogs 42 cloud-agnostic design patterns that architects can apply when designing, reviewing, or operating distributed systems to boost reliability, performance, messaging, security, and deployment outcomes.

OpenSearch For Observability Data Analytics

kubesphere/kubesphere

OpenSearch is a distributed search and analytics engine integrated into KubeSphere's WizTelemetry Observability Platform. It is designed to efficiently store, index, and analyze vast amounts of observability data, including Kubernetes logs, auditing events, system metrics, and application notifications. Used for building comprehensive monitoring dashboards and deep operational insights.

Arboreto GRN Inference

K-Dense-AI/scientific-agent-skills

Arboreto infers gene regulatory networks from bulk or single-cell RNA-seq data using scalable GRNBoost2 and GENIE3 algorithms, letting researchers filter transcription-factor targets, run distributed Dask jobs, and export ranked links for downstream analysis.

Scaling Pandas with Dask

K-Dense-AI/scientific-agent-skills

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

PyTorch Lightning Toolkit

pytorch-lightning

K-Dense-AI/scientific-agent-skills

PyTorch Lightning Toolkit streamlines PyTorch model training by organizing LightningModules, LightningDataModules, Trainer configs, callbacks, logging, and distributed strategies for scalable multi-GPU/TPU runs in research or production workflows.

Managing Aurora DSQL Database Operations

This skill provides comprehensive tools and best practices for interacting with Amazon Aurora DSQL, a PostgreSQL-compatible distributed SQL database. It covers schema management, secure query execution, multi-tenant architecture implementation, and safe data migration using MCP tools and CLI scripts. Ideal for building scalable, distributed applications.

Klaviyo API Observability Implementation

klaviyo-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing observability for Klaviyo API integrations. This solution uses Prometheus metrics (counters, histograms, gauges) to track API volume, latency, and errors, combined with OpenTelemetry for distributed tracing and structured logging. Ideal for setting up robust monitoring dashboards and critical alerting systems for marketing data pipelines.

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