Skill UI

This guide provides fundamental security and technical guidance for integrating with Veeva Vault. It covers REST API authentication (OAuth 2.0, session-based), executing VQL queries, and utilizing the VAPIL Java SDK. It is an essential resource for developers working with Veeva Vault for clinical operations, document management, and CRM systems.

This guide provides comprehensive instructions for upgrading and migrating systems within Veeva Vault. It details the use of the REST API, advanced VQL queries (SQL-like), and the VAPIL Java SDK. It is essential for professionals managing document workflows and clinical operations in the life sciences and CRM domains.

This pattern provides a robust method for extending and customizing existing GraphQL APIs. Developers can implement `GraphQLSchemaFactory` to add custom root queries and mutations, injecting complex business logic and use cases directly into the API layer. It fully supports per-resolver dependency injection (DI), ensuring that every resolver has access to critical request-scoped context, such as identity and tenancy, making it ideal for building modular, enterprise-grade backend services.

This tool searches a comprehensive database of over 2500 curated open-source repositories for tools related to Large Language Models (LLMs), ChatGPT, RAG, agents, and NLP. It interprets natural language queries, converts non-English inputs to core English keywords, and systematically filters results across multiple specialized categories (e.g., LangChain, Chatbots, CLIs). Use it whenever the user needs to find specific AI development libraries or open-source AI tooling.

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

A comprehensive guide to production-grade patterns and common pitfalls when using Prisma ORM with TypeScript backends. Covers optimizing schema design, implementing complex queries, managing transactions, handling pagination strategies, and addressing critical traps like connection exhaustion in serverless environments.

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.

This skill enforces an algorithm-first discipline, requiring the user to state the time and space complexity (Big-O), the intended data structure, and the core algorithm family before writing any complex code (loops, queries, recursion). It serves as a critical gatekeeper to prevent common performance pitfalls like O(n²) complexity, N+1 database queries, and brute-force implementation errors, significantly improving code robustness and efficiency.

This tool generates comprehensive weekly telemetry reports for the Azure Backup MCP toolset. It queries live production data from Kusto, performing advanced error analysis and classifying failures into three categories: Customer error, Azure Service failure, or MCP Tool Bug. The report correlates usage metrics with merged PRs and releases, producing an Outlook-compatible HTML summary for assessing tool health and stability.

A comprehensive guide to using the GitHub CLI (`gh`) for programmatic interaction with repositories. This tool allows users to list, manage, and review Pull Requests (PRs), create and triage issues, check CI/workflow status, and execute advanced API queries directly from the terminal, making it essential for scripting and automated DevOps workflows.

This skill is a comprehensive tool for managing and understanding SQL queries. It can explain complex SQL in plain English for non-technical stakeholders, optimize slow queries by identifying performance bottlenecks, generate functional SQL code from natural language prompts, and produce detailed query documentation and data dictionaries. Supports major dialects including PostgreSQL, MySQL, and BigQuery.

A powerful CLI and API client for exploring the entire Go ecosystem. It queries pkg.go.dev to provide comprehensive documentation, API references, usage examples, available versions, dependency relationships, and known security vulnerabilities for any Go package or module. Ideal for developers conducting library research, checking compatibility, or auditing dependencies.