Skill UI

Accelerates CPU-bound Python workflows by translating NumPy, pandas, ML, graph, image, simulation, and IO code into NVIDIA GPU kernels using CuPy, Numba CUDA, Warp, cuDF/cuML/cuGraph, KvikIO, cuSpatial, and RAFT for dramatic speedups.

OpenViking Code Repository Search exposes `ov` terminal commands for scoped semantic, keyword, and glob searches across viking:// resources, lets you read directory summaries/files, and manage indexed repositories (add/remove) with documented error handling.

Plugin guide for OpenViking that automates capturing key conversation facts, recalling relevant context at prompt time, and exposing recall/store/forget tools plus deployment and troubleshooting steps for long-term memory usage.

Imports files, URLs, and conversations into OpenViking's context DB through `ov add-resource` and `ov add-memory`, letting agents persist reference materials, documentation, or memories for future sessions while controlling async processing and target namespaces.

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

Guide for configuring, installing, starting, stopping, and cleaning OpenViking servers; covers uv-based virtualenv setup, nohup-backed launch, graceful shutdown, cleanup triggers, and verification checks for production deployments.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.