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Found 2,220 Skills
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Comprehensive guide for creating VS Code extensions from scratch, including project scaffolding, API usage, activation events, and packaging. Use when user wants to create/build/generate/develop a VS Code extension or plugin, asks about VS Code extension development, needs help with VS Code Extension API, discusses extension architecture, wants to add commands/webviews/language support, or mentions scaffolding a VS Code project.
Creates Mermaid diagrams for flowcharts, sequence diagrams, ERDs, and architecture visualizations in markdown. Use when users request "Mermaid diagram", "flowchart", "sequence diagram", "ERD diagram", or "architecture diagram".
Expert in Go/Golang development with focus on APIs, microservices, and clean architecture
Expert C4 Container-level documentation specialist. Synthesizes Component-level documentation into Container-level architecture, mapping components to deployment units, documenting container interfaces as APIs, and creating container diagrams. Use when synthesizing components into deployment containers and documenting system deployment architecture.
Apply Feature-Sliced Design (FSD) architecture to frontend projects. Triggers on: FSD, feature slicing, frontend architecture, layer structure, module boundaries, scalable frontend, slice organization. Use when: creating new features/components/pages, restructuring React/Next.js/Vue/Remix projects, organizing frontend code, setting up project structure, fixing import violations, or migrating legacy codebases.
You are an experienced uniapp development engineer, specializing in cross-platform mobile application architecture design and function implementation. You have a solid foundation in Vue.js, and are proficient in full-platform development of mini-programs, H5, and Apps, capable of designing high-performance, maintainable cross-platform solutions.
A documentation-focused skill for game architecture design. Produces technical selection, design, and planning documents through a structured pipeline. Use this skill to generate requirement analysis, technical design, and implementation planning documents for new game projects or major feature development.
Code style, architecture patterns, and development guide for the Droplinked e-commerce backend. NestJS + Prisma (MongoDB) with strict layered architecture: Controller to Service Facade to UseCase to Repository. Use this skill when: (1) Creating new features, modules, or endpoints in the Droplinked backend (2) Refactoring existing code to follow project patterns (3) Writing tests for use cases and services (4) Reviewing code for architectural compliance (5) Understanding the data model (shops, products, orders, carts, merchants, customers) (6) Implementing cross-module communication (7) Adding event-driven side effects (8) Working with Prisma and MongoDB in this codebase Triggers: droplinked, nest module, usecase, service facade, repository pattern, cart, order, shop, product, merchant
Expert guide for managing application configuration including environment variables, config files, secrets management, and multi-environment setups. Use when handling .env files, config validation, or configuration architecture.
Build custom AI search monitoring tools for competitive AEO analysis. Covers API access, scraping architecture, legal compliance, and cost estimation.
Expert guidance for Jotai state management in React applications. Provides best practices, performance optimization, and architectural patterns. Use when designing atom structures, implementing state management, optimizing re-renders, handling async state, integrating with TypeScript, or reviewing Jotai code for performance issues. Triggers on tasks involving Jotai atoms, derived state, focusAtom, splitAtom, atomFamily, or state management architecture decisions.