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Found 551 Skills
Guides the user through implementing Tauri system tray functionality, including tray icon setup, tray menu creation, handling tray events, and updating the tray at runtime in the notification area.
Use when working with TypeScript projects, tooling, and ecosystem. Covers the type system, project configuration, package management, CLI development, and library packages. USE FOR: TypeScript language features, choosing build tools, package managers, project structure, type system guidance, runtime selection DO NOT USE FOR: specific tool configuration details (use the sub-skills: project-system, package-management, cli, packages)
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).
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
Systematic evidence-based debugging using runtime logs. Generates hypotheses, instruments code with NDJSON logs, guides reproduction, analyzes log evidence, and iterates until root cause is proven with cited log lines. Use when the user reports a bug, unexpected behavior, or asks to debug an issue.
This skill should be used when working with Bun runtime, bun:sqlite, Bun.serve, bun:test, or when "Bun", "bun:test", or Bun-specific patterns are mentioned.
Vercel Functions and Edge Runtime, including cron jobs and routing middleware. Use when building APIs, serverless workloads, or scheduled tasks on Vercel.
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed status, after implementing new modules/nodes/services, or when claiming "feature works". Triggers on "verify implementation", "is this integrated", "check if code is wired", "prove it runs", or before declaring work complete. Works with Python modules, LangGraph nodes, CLI commands, API endpoints, and service classes. Enforces Creation-Connection-Verification (CCV) principle.
Skill global de TrackOps para explicar que hace TrackOps, exigir la instalacion explicita del runtime con npm y guiar la activacion local de proyectos y OPERA en cada repositorio.
Diagnose and fix bugs using runtime execution traces. Use when debugging errors, analyzing failures, or finding root causes in Python, Node.js, or Java applications.
Transloco i18n best practices for Angular. Covers runtime translation, lazy-loaded translation files per route, and test mocking. Activates when working with @jsverse/transloco. Install alongside angular-best-practices for full coverage.