Skill UI

This skill provides a comprehensive guide for safely upgrading the Oracle Cloud Infrastructure (OCI) Python SDK and Terraform provider. It addresses known breaking changes, schema modifications, and version incompatibility issues common in OCI tools. By implementing version pinning, pre-upgrade testing, and structured rollback procedures, users can ensure a stable and reliable migration process for both code and infrastructure definitions.

This guide provides comprehensive technical instructions for optimizing Palantir Foundry costs. Learn to use incremental transforms to drastically reduce compute rebuilds, right-size Spark profiles based on data volume, and migrate from expensive API polling to efficient, event-driven webhooks, ensuring both cost efficiency and system stability.

This comprehensive guide provides step-by-step instructions for installing and configuring the Palantir Foundry SDK. It covers both the Platform SDK for direct REST API data access and the OSDK for Ontology-based workflows. Users will learn how to set up authentication using OAuth2 client credentials or Bearer tokens, ensuring secure and seamless integration into their development environment for both production and development use cases.

Orchestrates the complete lifecycle of patent drafting, guiding the user from an initial invention concept to a jurisdiction-formatted filing document. This pipeline handles prior art searching, novelty checks, structuring, drafting specific claims, detailed specifications, and preparing the final submission package for various international jurisdictions (CNIPA, USPTO, EPO). It supports both Invention Patents and Utility Models, ensuring legal compliance and comprehensive coverage.

This guide provides a complete, end-to-end workflow for implementing Know Your Customer (KYC) identity verification using the Persona API. It details both backend implementation (creating inquiries, handling completion callbacks, resuming flows) and frontend integration (embedding the verification UI into web applications). Ideal for secure user onboarding and identity validation processes.

This guide provides detailed, step-by-step instructions on how to set up and authenticate with the Persona API. It covers obtaining sandbox and production API keys, configuring necessary environment variables, and includes runnable code examples for both Node.js and Python to verify a successful connection. This is essential for developers integrating identity verification or Know Your Customer (KYC) features into their application.

This skill facilitates an interactive Quality Assurance (QA) session. Users can conversationally describe encountered bugs or issues. The agent clarifies the problem, explores the codebase for context and domain language, and then meticulously files durable GitHub issues. It supports both single-issue reports and breaking down complex problems into multiple, independently verifiable tickets, ensuring developers receive actionable, high-quality reports written from the user's perspective.

Qdrant is a high-performance vector database. This client SDK suite provides official, easy-to-use libraries for multiple programming languages (including Python, Java, Go, and TypeScript). It enables developers to seamlessly integrate sophisticated vector search capabilities into their applications, supporting both REST and gRPC APIs. Ideal for building semantic search engines, recommendation systems, and advanced AI applications.

A comprehensive guide detailing how to establish robust monitoring for Qdrant. Covers setting up Prometheus metrics scraping, implementing Liveness and Readiness probes for Kubernetes, configuring alerts, and centralizing logs. It provides specific instructions for both self-hosted and Hybrid Cloud environments, ensuring full operational visibility and compliance.

This guide provides comprehensive guidance on scaling Qdrant, a vector database. It helps users diagnose performance bottlenecks and determine the optimal horizontal or vertical scaling strategy. Strategies are categorized based on specific needs: increasing data volume, improving query throughput (QPS), minimizing query latency, or managing high query result volumes.

This comprehensive guide provides advanced strategies for optimizing and scaling Qdrant vector database throughput (QPS). It covers performance tuning techniques, such as optimizing segment size, enabling quantization, and using batch search. Furthermore, it details horizontal scaling methods using read replicas and addressing disk I/O bottlenecks, ensuring high performance for large-scale, high-concurrency retrieval applications.

This guide provides a comprehensive, step-by-step tutorial for setting up OAuth2 client credentials authentication for the Ramp API. It covers obtaining necessary API credentials, configuring the environment for both sandbox and production, and utilizing Python code to successfully acquire an access token and verify connectivity. This is essential for developers needing to integrate financial data, manage corporate cards, or synchronize expense records using Ramp's services.