Skills
97,905 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Work with Ticks issue tracker and AI agent runner. Use when managing tasks or issues with tk commands, running AI agents on epics, breaking down requirements into ticks, or working in a repo with a .tick directory. Triggers on phrases like create ticks, tk, run ticks, epic, close the task, plan this, break this down.
PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.
Code quality guide based on 토스 Frontend Fundamentals. Provides feedback by 4 criteria (readability, predictability, cohesion, coupling) during code review, writing new code, and refactoring. Activates on requests about frontend code quality, clean code, or code improvement.
Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Use when working with AutoModel, pipelines, tokenizers, or TrainingArguments—not for general ML outside the Transformers library.
Build stateless MCP servers with TypeScript on Cloudflare Workers using @modelcontextprotocol/sdk. Provides patterns for tools, resources, prompts, and authentication (API keys, OAuth, Zero Trust). Use when exposing APIs to LLMs, integrating Cloudflare services (D1, KV, R2, Vectorize), or troubleshooting export syntax errors, unclosed transport leaks, or CORS misconfigurations.
Guide tasteful UI animation with easing, springs, layout animations, gestures, and accessibility. Covers Tailwind and Motion patterns. Use when: (1) Implementing enter/exit animations, (2) Choosing easing curves, (3) Configuring springs, (4) Layout animations and shared elements, (5) Drag/swipe gestures, (6) Micro-interactions, (7) Ensuring prefers-reduced-motion accessibility. Triggers: animate, animation, easing, spring, transition, motion, layout, gesture, drag, swipe, reduced motion, framer motion.
Create custom tools for the Unity editor: custom inspectors, tool windows, drawers, menu items, wizards and asset processors. Triggers: /unity-editor-tools, /editor, 'custom inspector', 'editor window', 'property drawer', 'menu item', 'editor tool', 'outil editeur'. Produces C# scripts in the Editor folder with the correct assembly definition.
Guide for upgrading SumUp API versions and server/mobile SDKs (@sumup/sdk, sumup-go, sumup Python, PHP, Java, Rust, .NET, iOS Terminal, Android Reader, Swift Checkout, React Native). Use when bumping SumUp SDK versions or migrating off deprecated endpoints.
Use when creating or sending Mailtrap-hosted email templates, Handlebars personalization, template UUID in API payloads, or debugging variables and preview. Use when separating email design from application code for transactional or bulk sends.
Create or update repo-native project instructions for AI agents, such as AGENTS.md or CLAUDE.md. Use when initializing an AI-native repository protocol, documenting project overview, tech stack, repository structure, build/run/test commands, durable working rules, progressive disclosure, workflow artifact routing, organization skill routing, or converting repeated coding-session habits into durable agent instructions.
Write structured implementation plans from specs or requirements before touching code. Use when given a spec, requirements doc, or feature description, when user says "plan this out", "write a plan for", "how should we implement", or before starting any multi-step coding task.
This skill should be used when a user wants to create, draft, or plan a GitHub Epic issue — for example "write an epic", "I want to define a new initiative", "scope out this strategic project", "turn this idea into an epic", "plan work that spans multiple features", or "start from a bounded context". Also use when the user asks to define domain outcomes, capture a large initiative before breaking it into features, or describe work in terms of business goals rather than implementation details.
Migrate an Angular application to the One Allianz (A1) Design System. Use when: migrating to A1 design system, applying One Allianz theme, migrating circle toggles to tiles, updating small stages, updating layout to left-alignment, A1 brand kit, ngx-brand-kit, ng-aquila migration, NDBX to A1.
Use when the user asks to debug, diagnose, or fix an ADVPL/TLPP error on TOTVS Protheus -- compilation errors (syntax, missing includes, undeclared variables), runtime failures (NIL access, type mismatch, array bounds), performance issues (slow queries, memory leaks), database locks (RecLock timeouts, deadlocks), or AppServer log/crash analysis. Also triggers on Portuguese phrasing like "erro de compilacao", "erro em tempo de execucao", "travou o lock", "RecLock nao libera", "performance lenta", "analisar log do appserver", or a pasted stack trace / error message from Protheus.
Call the free Agnes text model API for chat completions, streaming answers, coding help, tool-calling experiments, and OpenAI-compatible text generation. Use when the user asks for 免费文本, 免费的文本模型, free text API, Agnes text, Agnes-2.0-Flash, free LLM calls, or wants to use a free chat/completion model through an Agent skill.
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".
Reverse engineer Rust binaries — demangling legacy and v0 symbol schemes, recognizing monomorphized generics, Result and Option control flow, trait object vtable dispatch, and panic-site strings that leak source paths and crate names. Use when a binary contains rustc version strings, core::panicking, or _ZN/_R mangled symbols, when a stripped binary is unexpectedly large, or when analyzing Rust malware or a Rust service.
Media3 / CameraX reference for Android app development (Kotlin). androidx.media3, androidx.camera. ExoPlayer, HLS / DASH / RTSP / SmoothStreaming, HlsInterstitialsAdsLoader, CMCD, MediaSession, MediaSessionService, MediaLibraryService, DRM, Compose UI (PlayerSurface), ProcessCameraProvider, CameraSelector, ImageCapture, ImageAnalysis, VideoCapture, CameraInfo, CameraX Extensions, Camera2 Interop, Camera1 migration.
Comprehensive API documentation quality checker supporting 7 quality dimensions, SDK source consistency validation, and multi-format reporting. Use for API review, documentation quality assessment, error detection, and consistency checks.
Call ArcGIS REST service endpoints for routing, geocoding, printing, places, geoprocessing, and other server-side operations. Use when computing directions or service areas, converting addresses to coordinates, exporting print-ready maps, searching for places, or invoking GP tools.
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.