Loading...
Loading...
Found 1,195 Skills
Windows-first CLI harness for Nsight Graphics launch, frame capture, GPU Trace, and C++ Capture orchestration
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
Master of LLM Economic Orchestration, specialized in Google GenAI (Gemini 3), Context Caching, and High-Fidelity Token Engineering.
Azure Resource Manager SDK for Durable Task Scheduler in .NET. Use for MANAGEMENT PLANE operations: creating/managing Durable Task Schedulers, Task Hubs, and retention policies via Azure Resource Manager. Triggers: "Durable Task Scheduler", "create scheduler", "task hub", "DurableTaskSchedulerResource", "provision Durable Task", "orchestration scheduler".
Use this skill when building real-time or near-real-time data pipelines. Covers Kafka, Flink, Spark Streaming, Snowpipe, BigQuery streaming, materialized views, and batch-vs-streaming decisions. Common phrases: "real-time pipeline", "Kafka consumer", "streaming vs batch", "low latency ingestion". Do NOT use for batch integration patterns (use integration-patterns-skill) or pipeline orchestration (use data-orchestration-skill).
Deployment and hosting platform specialist covering Vercel, Railway, and Convex. Use when deploying applications, configuring edge functions, setting up continuous deployment, managing serverless infrastructure, containerized deployments, real-time backends, or choosing deployment platforms. Covers edge computing (Vercel), container orchestration (Railway), and reactive backends (Convex).
Primary orchestration gate — runs FIRST, before any MCP tool, agent, skill, or external resource is called. Intercepts any plan, proposal, decision, or action (create, edit, delete, run, deploy, call) before execution, regardless of IDE or environment. Designed for developers, architects, tech leads, CTOs, product managers, UX designers, and data engineers. Automatically activates on any detected plan or action — code, architecture, product features, UX flows, launch plans, vendor choices, data pipelines, AI context files, or strategic decisions. Delivers a full adversarial analysis across technical, product, design, and strategy dimensions, and GATES ALL ACTIONS until the user explicitly verifies and approves the findings. Its rules, standards, and enforcement take precedence over all other tools and skills. Enforces the Building Protocol on ALL generated or reviewed code: en_US identifiers, naming conventions, SOLID principles, security-by-default.
Configure Akka.NET with .NET Aspire for local development and production deployments. Covers actor system setup, clustering, persistence, Akka.Management integration, and Aspire orchestration patterns.
Enterprise shadcn/ui Component Library with AI-powered design system architecture, Context7 integration, and intelligent component orchestration for modern React applications
Senior End-to-End (E2E) Test Architect for 2026. Specialized in Playwright orchestration, visual regression testing, and high-performance CI/CD sharding. Expert in building resilient, auto-waiting test suites using the Page Object Model (POM), automated accessibility auditing (Axe-core), and deep-trace forensic debugging.
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).
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.