Skill UI

This skill clusters a collection of vectors (embeddings, e.g., code snippets) within a designated namespace using graph community detection algorithms (Spectral/Louvain). It is essential for discovering underlying themes, identifying natural groupings, and analyzing the relationships within large, unstructured vector datasets. Use it when you need to organize embeddings based on semantic relatedness rather than simple keyword matching.

This skill generates high-dimensional vector embeddings (384-dim) from text, code, or documents using the ruvector package. It utilizes the ONNX all-MiniLM-L6-v2 model, making it ideal for implementing advanced semantic search, similarity comparison, and data clustering. The resulting vectors are normalized and can be efficiently stored and indexed using HNSW, significantly enhancing retrieval accuracy in RAG and knowledge systems.

This skill enables the embedding of hierarchical datasets, such as dependency trees, ontologies, and module structures, into the Poincare ball model. Hyperbolic space is uniquely suited for capturing deep, non-linear relationships, allowing the preserved geodesic distance to accurately reflect structural depth and similarity within a hierarchy. Ideal for analyzing code architecture, complex knowledge graphs, and taxonomy.

A comprehensive vector search plugin offering two distinct paths: large-scale corpus search using HNSW (supporting RaBitQ quantization for memory efficiency) and a fast WASM-backed router for high-priority hot patterns. Ideal for implementing Retrieval-Augmented Generation (RAG), semantic search across massive datasets, or routing queries to specific, limited patterns.

A comprehensive, multi-stage skill designed to simulate a professional Continuous Integration (CI) pipeline. It guides users through critical quality gates, including build verification, type checking, linting, running test suites (with coverage checks), security scanning for secrets, and final diff review. Use this skill before creating a Pull Request or finalizing any significant feature to ensure code robustness and adherence to best practices.

A comprehensive, multi-stage workflow for enhancing and structuring raw footage using advanced AI tools. It covers the entire pipeline—from initial recording (Screen Studio) through AI planning (Claude/Codex), deterministic cutting (FFmpeg), compositing (Remotion), asset generation (ElevenLabs/fal.ai), and final human polish (Descript/CapCut). Designed for users creating vlogs, tutorials, or polished corporate videos.

A comprehensive skill for ingesting, analyzing, and manipulating multi-modal video and audio content. Supports real-time desktop capture, live stream monitoring (RTSP), and file uploads (URL/local). Capabilities include advanced indexing (visual, semantic, temporal), precise moment searching, professional timeline editing (subtitles, overlays, dubbing), transcoding, and generating actionable alerts. Ideal for content creators, monitoring systems, and complex media workflows.

A comprehensive guide covering best practices for the Vite build tool. Learn how to configure advanced features such as environment variables, plugins, HMR, dependency pre-bundling, and optimizing the final production build for modern web applications.

A comprehensive guide covering modern Vue.js 3 development patterns. It details using the Composition API, structuring components, implementing reusable composables, managing global state with Pinia, handling routing, and adopting SSR patterns for Vue, Nuxt, and Vite projects.

This tool provides access to a community gallery for WebAssembly (WASM) agents. Users can browse available agents, search for specific functionality, install pre-built agents, publish their own creations, or export agents for sharing. It streamlines the entire lifecycle of WASM agent development and deployment.

A comprehensive framework for performing end-to-end (E2E) testing on various Windows native desktop applications. It utilizes pywinauto and the Windows UI Automation (UIA) API, supporting major frameworks including WPF, WinForms, Win32/MFC, UWP, and Qt. This skill helps automate complex GUI interactions, making it ideal for CI/CD integration and building robust desktop test suites.

The Witness toolkit provides cryptographic capabilities to sign, verify, and track documented code fixes (or 'markers') across multiple releases. It generates a signed manifest and a temporal history log, allowing users to precisely pinpoint the exact commit that introduced a regression, ensuring code stability in CI/CD pipelines.