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153 results for "code generation"

tinystruct-patterns
Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking.
affaan-m
homelab-wireguard-vpn
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients. Use when setting up WireGuard for remote access to a home network, or deciding between split and full tunnel routing.
affaan-m
foundation-models-on-device
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
affaan-m
fal-ai-media
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
affaan-m
healthcare-emr-patterns
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.
affaan-m
dart-flutter-patterns
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
affaan-m
tinystruct-patterns
基于 tinystruct Java 框架开发的专家级指导。适用于开发 tinystruct 本身或任何基于其构建的项目——涵盖 Application 类创建、@Action 路由映射、单元测试、ActionRegistry、HTTP/CLI 双模式处理、内置 HTTP 服务器、事件系统、基于 Builder/Builders 的 JSON 处理、基于 AbstractData 的数据库持久化、POJO 自动生成、服务端发送事件(SSE)、文件上传以及出站 HTTP 网络请求等场景。
affaan-m
homelab-wireguard-vpn
WireGuard VPN 服务端搭建、Peer 节点配置、密钥对生成、分流(Split Tunneling)与全局(Full Tunnel)路由策略,以及通过手机和电脑客户端远程访问 Home Lab / 家庭局域网的完整指南。
affaan-m
healthcare-emr-patterns
用于医疗应用的EMR/EHR开发模式。临床安全、就诊工作流程、处方生成、临床决策支持集成以及面向无障碍的医疗数据录入UI。
affaan-m
dart-flutter-patterns
生产就绪的 Dart 和 Flutter 模式,涵盖空安全、不可变状态、异步组合、Widget 架构、主流状态管理框架(BLoC、Riverpod、Provider)、GoRouter 导航、Dio 网络请求、Freezed 代码生成和整洁架构。
affaan-m
fal-ai-media
通过 fal.ai MCP 统一生成媒体内容——图像、视频和音频。涵盖文生图(Nano Banana)、文/图生视频(Seedance、Kling、Veo 3)、文本转语音(CSM-1B)以及视频转音频(ThinkSound)。当用户希望使用 AI 生成图像、视频或音频时使用。
affaan-m
foundation-models-on-device
Apple FoundationModels 框架,用于设备端 LLM — 文本生成、使用 @Generable 的引导生成、工具调用以及 iOS 26+ 中的快照流式传输。
affaan-m
design-system
令牌架构、组件规范和幻灯片生成。三层令牌(原始→语义→组件)、CSS变量、间距/排版比例、组件规范、策略性幻灯片创建。用于设计令牌、系统化设计、符合品牌规范的演示文稿。
nextlevelbuilder
design
综合设计技能:品牌标识、设计令牌、UI样式、Logo生成(55种风格,Gemini AI)、企业形象识别系统(50个交付物,CIP样机)、HTML演示文稿(Chart.js)、横幅设计(22种风格,社交/广告/网页/印刷)、图标设计(15种风格,SVG,Gemini 3.1 Pro)、社交照片(HTML→截图,多平台)。操作:设计Logo、创建CIP、生成样机、制作幻灯片、设计横幅、生成图标、创建社交照片、社交媒体图片、品牌标识、设计系统。平台:Facebook、Twitter、LinkedIn、YouTube、Instagram、Pinterest、TikTok、Threads、Google Ads。
nextlevelbuilder
brandkit
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
nexu-io
ecommerce-image-workflow
Reference-product ecommerce image workflow for generating a compact set of product-faithful main, feature, and lifestyle images from real product reference photos. V1 requires uploaded product imagery and intentionally defers brief-only concept generation and platform-specific batch exports.
nexu-io
venice-video
Video generation and transcription workflows via the Venice.ai API.
nexu-io
fal-train
Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
nexu-io
replicate
Discover, compare, and run AI models using Replicate's API. Strong fit for image, audio, and video generation pipelines that swap models frequently.
nexu-io
fal-realtime
Real-time and streaming AI image generation via fal.ai. Suited for moodboard exploration, draft variations, and rapid creative iteration.
nexu-io
shader-dev
GLSL shader techniques for ray marching, fluid simulation, particle systems, and procedural generation. Useful for hero visuals and motion stills.
nexu-io
youtube-clipper
YouTube clip generation and editing with automated workflows — pull source video, slice highlights, add captions, and export.
nexu-io
venice-image-generate
Image generation endpoints and available styles via the Venice.ai API.
nexu-io
venice-audio-music
Music generation queueing, retrieval, and completion endpoints via Venice.ai. Suited for jingles, background loops, and prototype scoring.
nexu-io