Skill UI

Provides advanced patterns for high-volume Notion API interactions. Learn how to manage rate limits (3 req/sec) using worker queues, implement parallel requests with p-queue, and efficiently paginate massive databases (100K+ records) using incremental sync and chunked processing. Essential for building robust, scalable Notion automation tools.

This skill provides a comprehensive, production-grade reference architecture for building robust Notion integrations. It defines a multi-layered structure, including client singletons, repository patterns, service orchestration, and caching mechanisms. It is essential for migrating ad-hoc API calls to scalable, event-driven, and highly reliable enterprise applications that incorporate rate limiting, sophisticated error handling, and comprehensive testing strategies.

This skill provides comprehensive functionality for provisioning, managing, and scaling Oracle Cloud Infrastructure (OCI) compute instances using the Python SDK. It addresses common challenges like "out of host capacity" errors by implementing robust retry logic across multiple Availability Domains (ADs). Users can select optimal Flex shapes (AMD, ARM, Intel), manage the entire instance lifecycle (start, stop, reboot, terminate), and retrieve network details, ensuring reliable cloud workload deployment.

This skill provides a comprehensive guide and code examples for designing robust and scalable Identity and Access Management (IAM) structures within Oracle Cloud Infrastructure (OCI). It covers establishing secure compartment hierarchies, understanding complex policy inheritance rules, implementing least-privilege access controls, and utilizing dynamic groups for service authentication, ensuring best practices for enterprise cloud governance.

This comprehensive runbook provides a self-service solution for managing Oracle Cloud Infrastructure (OCI) outages when official status pages are misleading or silent. It guides users through independent service health probes (Identity, Compute, Networking), automated instance recovery actions (reboot, softreset), and critical procedures for cross-Availability Domain (AD) or cross-region failover using boot volume backups to ensure business continuity.

This skill establishes a secure, two-way synchronization bridge between a local ARIS development directory and an Overleaf project. It allows users to maintain collaborative editing in the Overleaf web UI while enabling local ARIS pipelines to run audits, process fixes, and ensure data integrity. Supports pull (remote to local) and push (local to remote) workflows, managing complex diffs and version control.

This skill provides a comprehensive guide for deploying Palantir Foundry integrated applications to major cloud platforms, such as GCP Cloud Run, AWS Lambda, and Docker. It covers best practices including containerization using Docker, implementing robust secrets management via cloud secret managers, establishing health check endpoints, and configuring environment-specific scopes. This process ensures applications are production-ready, secure, and highly available.

A comprehensive checklist and guide for deploying Persona identity verification features into a production environment. It covers prerequisites, API integration steps using Python examples, error handling (401, 429, 404), and critical post-deployment tasks like compliance review, webhook setup, and monitoring for secure, scalable identity solutions.

This skill provides robust implementation patterns for integrating with the Podium API. It covers core business functionalities such as messaging, review management, and payment processing. By utilizing REST API calls and OAuth2 authentication, developers can establish secure, scalable connections, along with detailed error handling for common issues like expired tokens or rate limiting.

This guide provides the comprehensive reference architecture and implementation patterns for integrating with the Podium REST API. It details secure OAuth2 authentication, covering how to manage core business functions such as messaging, handling customer reviews, and processing payments. Use this when building scalable applications that require deep communication platform connectivity.

A comprehensive guide for diagnosing and reducing high memory consumption in Qdrant. This resource is crucial when dealing with reports of 'memory leak', 'out of memory', or excessive RAM growth. It details how Qdrant manages resident memory and OS page cache, and provides advanced techniques such as quantization, using float16/int8 data types, and strategically storing components on disk (like HNSW indexes or sparse vectors) to minimize the memory footprint and ensure stable, scalable operation.

Provides comprehensive strategies for migrating embedding models within Qdrant. This guide covers zero-downtime alias swapping, side-by-side A/B testing, and transitioning from dense to hybrid search. It is essential for production environments requiring continuous availability when updating models, dimensions, or switching providers.