Skill UI

Build production-quality, accessible, responsive user interfaces. Use for creating or modifying components, layouts, state management, and ensuring WCAG compliance. Focuses on design system adherence, avoiding AI-generated aesthetics, and delivering polished, professional UI.

This skill provides comprehensive operations for Feishu Base (Multi-Dimensional Table), serving as a powerful internal database management system. It supports all CRUD operations, including creating and updating tables, managing fields (including formulas and lookups), writing and reading records, setting up complex views, building dashboards, and automating workflows. Use this skill when dealing with multi-dimensional tables, Bitable links, or the Base environment.

This comprehensive guide covers best practices for building robust database systems. It teaches crucial concepts like schema normalization, effective indexing strategies, selecting the right database (e.g., SQLite vs PostgreSQL) and ORM, and optimizing queries to prevent common performance issues like N+1 problems. It emphasizes making context-aware architectural decisions.

An insightful guide detailing the patterns observed in a long-term, deep partnership between an AI and a principal engineer. It covers critical soft skills for high-energy creative work, such as building trust through honesty, matching rapid pace, providing constructive disagreement, and supporting human ownership of breakthroughs. Ideal for professionals who need to collaborate with highly capable, fast-moving human partners or build advanced AI systems that mirror nuanced human interaction.

This skill provides comprehensive guidance for building and refining applications, plugins, and function-calling flows using the Semantic Kernel framework. It supports multiple languages, including .NET and Python. Guidance emphasizes consulting the latest official documentation, adhering to best practices (like async patterns and strong typing), and correctly handling multi-ecosystem development.

Provides comprehensive patterns and techniques for securing AI agent systems. Learn how to enforce governance policies, including tool allow/block lists, content filtering, rate limiting, and human approval workflows. Essential for building robust, compliant, and trustworthy agents in multi-agent or production environments that interact with external APIs and sensitive data.

Framework for building and scaling developer-led adoption via ecosystem programs, student pipelines, documentation tiers, community support, and partner tiering to guide platform go-to-market decisions.

Framework for building and scaling partner ecosystems that drive revenue and platform adoption through real economic commitments, strategic go-to-market motions, and discovery-first control decisions across curated or open networks.

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

A comprehensive guide for developers to build advanced, declarative agents for Microsoft 365 Copilot. This skill details the integration process using a Model Context Protocol (MCP) server, allowing the agent to connect with external systems, select tools, and handle complex authentication (OAuth 2.0/SSO). You will learn to generate key JSON manifests required for deployment.

Phoenix Evals enables developers to build and run evaluators for AI and LLM applications. It supports both code-based and LLM-based evaluation methods, including RAG systems. Users can create datasets, run experiments, validate evaluator accuracy, and implement production guardrails. Available in Python and TypeScript, it helps ensure model performance and reliability through systematic testing and human validation.

This comprehensive scaffold sets up a complete, modern Power Apps Code App project structure using Vite, React, and TypeScript. It guides developers through initializing the project with PAC CLI, configuring SDK integration, and setting up best practices for connecting to 1,500+ Power Platform connectors (e.g., Office 365, SharePoint, SQL Server). Ideal for building complex, code-first enterprise applications within the Power Platform ecosystem.