Skill UI

MolyKit is a comprehensive toolkit designed for building robust, cross-platform AI chat applications. It provides core utilities for integrating large language models (LLMs) like OpenAI, handling real-time SSE streaming responses, and managing complex cross-platform asynchronous patterns (PlatformSend, spawn()). The kit includes ready-to-use widgets for messages, prompt inputs, and avatars, making it ideal for developers creating sophisticated, multilingual chat experiences.

This skill provides best practices for structuring complex, production-ready applications built with Makepad. It details robust asynchronous communication patterns, showing how to integrate the Tokio runtime, manage state synchronization, and handle data flow between the main UI thread and background worker tasks using MPSC channels and SignalToUI. Essential for developing advanced chat clients or data streaming services.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

polars-bio accelerates genomic interval math and bioinformatics I/O by combining Polars, Arrow, and DataFusion to handle BED/VCF/BAM/GFF/FASTA streams, SQL queries, and cloud storage with overlap, coverage, and nearest APIs plus streaming fallbacks.

This skill guides developers on building LLM-powered applications using the Claude API, Anthropic SDKs, or the Agent SDK. It provides comprehensive guidance on language detection, best practices (like default model versions and streaming), and choosing the correct development surface (API call, Workflow, or Agent) based on the use case.

Guides configuring Firebase AI in Flutter, generating text/chat with Gemini, streaming responses, multimodal prompts, and handling errors with security considerations.

CLI surface for subscribing to and managing Google Workspace events, streaming task updates, and handling subscription lifecycles through `gws events` commands such as create, renew, delete, and patch.

Provides Gmail access through the gws Gmail CLI, letting you manage messages, drafts, labels, threads, and watches while helper commands handle sending, triage, replying, forwarding, reading, and streaming new mail.

A robust CLI tool for connecting to Lark/Feishu real-time events. It allows streaming, subscribing, and consuming various events (e.g., IM messages, reactions, meeting updates) as NDJSON output. Ideal for developing Lark bots, building real-time message processors, or implementing long-running streaming webhook handlers, especially in AI agent subprocesses.

Build agentic applications by embedding GitHub Copilot workflows into apps using Python, TypeScript, Go, or .NET. Create custom tools, manage sessions, and implement streaming responses without building orchestration logic. Ideal for developers integrating AI agents into existing software.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.