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Found 2,645 Skills
Adds a complete blog feature to an existing Blazor WebAssembly Static Web App with Azure Functions backend and Azure File Share for markdown storage. Use when implementing blog functionality in .NET Blazor WASM projects with Azure infrastructure. Includes post listing, detail pages, markdown rendering, Azure Storage integration.
OpenTelemetry observability - use for distributed tracing, metrics, instrumentation, Sentry integration, and monitoring
Create brand-safe content for athletes. Personal branding strategy, engagement optimization, crisis communication, sponsor integration.
Expert implementation of @vis.gl/react-google-maps library for Google Maps in React. Use when building maps, markers, pins, infowindows, places autocomplete, geocoding, draggable markers, polygons, circles, polylines, drawing tools, or any Google Maps JavaScript API integration in React/Next.js applications.
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
Create FilamentPHP v4 dashboard pages with single-tab or multi-tab layouts, message callouts, and widget integration
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace diffusers and transformers libraries. Supports models like LTX-Video, Stable Diffusion, LLaMA, Mistral, and Qwen. Includes integration with HuggingFace Kernels Hub (get_kernel) for loading pre-compiled kernels. Includes benchmarking scripts to compare kernel performance against baseline implementations.
OpenAPI documentation skill for Rust APIs using utoipa with Axum framework. Use when building REST APIs with automatic OpenAPI spec generation and Scalar UI. Covers: (1) ToSchema derive for request/response types, (2) #[utoipa::path] for endpoint documentation, (3) OpenApi derive for combining specs, (4) Security schemes (JWT, API keys), (5) IntoParams for query/path params, (6) Scalar UI integration, (7) Response and error handling patterns. Triggers: utoipa, openapi, scalar, axum api, ToSchema, IntoParams, rust api docs.
Develop custom Home Assistant integrations, config flows, entities, and platforms. Use when working with manifest.json, custom components, config_flow.py, entity base classes, or device registry. Activates on keywords: integration, custom component, config flow, entity, platform, manifest.json, device_info.