Skill UI

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 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.

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.

Manages and coordinates complex workflows involving multiple AI agents and tasks. It efficiently distributes work across multiple workers, handles runtime errors, and intelligently merges disparate results into a unified output, making it ideal for large-scale, distributed AI computations.

This pipeline provides an automated solution for processing raw Indicators of Compromise (IOCs) from various sources, including IPs, domains, URLs, and emails. It performs crucial steps such as normalization, deduplication, and defanging (modifying indicators to prevent accidental execution while preserving readability). The final, processed data is converted into the standardized STIX 2.1 format and can be securely distributed via TAXII servers or MISP instances, streamlining threat intelligence sharing.

This skill covers implementing robust API abuse detection using advanced rate-limiting algorithms like Token Bucket and Sliding Window. It uses Redis for distributed counting and allows for adaptive limits, dynamically tightening during detected attacks and relaxing during normal traffic. Ideal for securing APIs against DDoS, brute force, and scraping attacks.

Details how to implement robust API rate limiting and throttling using advanced techniques like Token Bucket, Sliding Window, and Fixed Window algorithms. Supports per-user, per-IP, and per-endpoint quotas, utilizing Redis for distributed counting. Essential for protecting APIs against brute force, credential stuffing, and resource exhaustion attacks, returning proper HTTP 429 responses.

This skill guides the setup of a robust, centralized logging pipeline using Fluent Bit and Fluentd. It covers collecting logs from diverse sources (syslog, files, applications), routing, filtering, and enriching them before sending them to destinations like Elasticsearch, S3, or Splunk. Ideal for centralizing observability and building secure logging architectures across distributed infrastructure.

This guide provides comprehensive steps for deploying and configuring the Rapid7 InsightVM platform. It covers setting up the Security Console, deploying distributed Scan Engines, configuring various scan templates (e.g., CIS Policy, PCI ASV), and implementing deep credentialed scanning using WMI/SMB for thorough vulnerability visibility across enterprise environments. Use this when building robust security architectures or achieving compliance.

This comprehensive guide details the implementation of Zero Trust Architecture (ZTA) across major multi-cloud platforms (AWS, Azure, GCP), adhering to NIST SP 800-207 and BeyondCorp principles. It covers identity-centric access, micro-segmentation, continuous risk assessment, and deploying Identity-Aware Proxies to secure modern, distributed workloads without relying on traditional network perimeters.

This comprehensive guide covers best practices for building robust, production-ready gRPC microservices in Go. It details proper protobuf organization, utilizing interceptors for cross-cutting concerns (logging, auth), implementing graceful shutdowns, handling gRPC status codes, and optimizing client connections with deadlines and retry policies. Essential for engineers designing reliable distributed systems.

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.