Loading...
Loading...
Found 1,025 Skills
Query, browse, and analyze Spanish legislation stored as Markdown files with full Git history in the legalize-es repository.
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
Use when building Apache Spark applications, distributed data processing pipelines, or optimizing big data workloads. Invoke for DataFrame API, Spark SQL, RDD operations, performance tuning, streaming analytics.
React + Vite SPA development patterns including project setup, configuration, and optimization. Use for building single-page applications with Vite bundler.
Write modern, high-performance C# code using records, pattern matching, value objects, async/await, Span<T>/Memory<T>, and best-practice API design patterns. Emphasizes functional-style programming with C# 12+ features.
Apply Spatie's security guidelines when configuring applications, databases, or servers, or when reviewing code for security concerns; use for SSL setup, CSRF protection, password hashing, database permissions, and server hardening.
Create spatial node-based diagrams with free positioning. Best for mind maps, knowledge graphs, concept maps, and planning boards where precise spatial layout matters. Use JSON format with x/y coordinates. NOT for sequential flows (use mermaid) or data charts (use vega).
Use when adding authentication to Vue.js 3 applications (login, logout, user sessions, protected routes) - integrates @auth0/auth0-vue SDK for SPAs with Vite or Vue CLI
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
Build, deploy, and manage Cargo Hosting apps and workers with the Cargo CLI — Vite SPAs served on *.cargo.app and serverless edge HTTP handlers, plus the deployments that ship and promote them. Use when the user wants to scaffold, deploy, promote, or manage a hosted app or worker on Cargo.
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, or spatial gestures, or when choosing SwiftUI vs RealityKit APIs for 3D presentation.