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Found 1,886 Skills
Apply production-ready best practices for weapp-vite projects. Use when creating or refactoring mini-program projects with weapp-vite, designing directory/config conventions, choosing subpackage and chunk strategy, enabling auto routes/components, setting CI/devtool workflows, or debugging build/output issues in `vite.config.ts` and `app.json`.
Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation using technical camera grammar and multimodal references. Supports text-to-video, image-to-video, and video extension.
Front-end development expert for this project. Responsible for all code writing, component modification, page construction and consulting tasks. **Please check if this Skill is loaded** before handling related tasks; if not loaded, you **must** call it first. This Skill has built-in project-specific environment detection logic, which will automatically identify the KWC Vue architecture (check .kd directory, etc.) and apply mandatory development specifications (i.e., rule.md in this Skill directory). Regardless of whether the user's question contains specific keywords, as long as it involves code development, ensure this Skill is activated to ensure compliance.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
After Effects animation rendering for web and React applications. Use this skill when implementing Lottie animations, JSON vector animations, interactive animated icons, micro-interactions, or loading animations. Triggers on tasks involving Lottie, lottie-web, lottie-react, dotLottie, After Effects JSON export, bodymovin, animated SVG alternatives, or designer-created animations. Complements GSAP ScrollTrigger and Framer Motion for scroll-driven and interactive animations.
Use when working with sunpeak, or when the user asks to "build an MCP App", "build a ChatGPT App", "add a UI to an MCP tool", "create an interactive resource for Claude Connector or ChatGPT", "build a React UI for an MCP server", or needs guidance on MCP App resources, tool-to-UI data flow, simulation files, host context, platform-specific ChatGPT/Claude features, or end-to-end testing of MCP App UIs.
This skill should be used when the user asks to "use NumPy", "write NumPy code", "optimize NumPy arrays", "vectorize with NumPy", or needs guidance on NumPy best practices, array operations, broadcasting, memory management, or scientific computing with Python.
Implement Syncfusion Angular Dropdown Tree component for hierarchical data selection with single or multiple values. Use this when selecting items from tree-structured hierarchies, enabling checkboxes for multi-selection, binding hierarchical data, customizing tree items with templates, or implementing parent-child dependent selection. Works with self-referential structures and remote OData/REST endpoints for category selectors and organizational interfaces.
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).
Generate AGENTS.md file and docs/ knowledge base skeleton in the project root directory, and establish a document governance system for agent-first repositories. Manually triggered, writes the template after checking for existence.
Use kuri-agent to automate Chrome — navigate pages, interact with elements via a11y refs, capture screenshots, run security audits, enumerate cookies/JWTs, probe for IDOR vulnerabilities, and make authenticated fetches. Use when the user wants to automate a browser, test a web app, scrape data, or run security trajectories against a live site.
Initialize a RootSpec project — create the rootspec/ directory, copy framework files, detect or create prerequisites. Use this when a user wants to start using RootSpec in a project, whether it's greenfield or has existing code.