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Found 1,152 Skills
Map scRNA-seq atlases onto spatial transcriptomics slides using omicverse's Single2Spatial workflow for deep-forest training, spot-level assessment, and marker visualisation.
Expert in physical and human geography, climate systems, cartography, and spatial analysis — builds geographically coherent worlds where terrain, climate, resources, and settlement patterns make scientific sense
visionOS widget patterns including mounting styles, glass/paper textures, proximity-aware layouts, and spatial widget families. Use when creating or adapting widgets for visionOS.
Invoke when the user asks about sound design, music direction, audio identity, adaptive audio, spatial audio, SFX, sonic palette, dialogue systems, audio middleware, dynamic music, or sound bible creation. Triggers on: "sound design", "music", "audio", "SFX", "adaptive audio", "spatial audio", "sonic palette", "FMOD", "Wwise", "sound bible". Do NOT invoke for narrative dialogue writing (use game-narrative-director) or creative vision (use game-creative-director). Part of the AlterLab GameForge collection.
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.
Manages spartan/ui, the Angular UI library - adding, composing, fixing, debugging, and styling UI with the Brain (headless primitives) and Helm (styled) layers. Provides project context, component APIs, and usage examples. Applies when working with spartan/ui, @spartan-ng/brain, @spartan-ng/helm, the @spartan-ng/cli generators, or any Angular project with a components.json file. Also triggers for "spartan init", "add a spartan component", or "set up spartan/ui".
Add and configure in-game voice chat and text chat for Unity multiplayer games using Unity Vivox. Covers microphone setup and mic permissions on Android/iOS, voice activity detection (VAD) tuning, voice volume and mute controls in a settings UI (VoiceVadMinimumVolume, mic slider, mute button, speaking indicator), proximity/3D spatial voice for FPS/co-op games, team/party/lobby/guild voice channels, push-to-talk, muting self and other players, whisper/direct messages, in-game text chat, and Vivox SDK init + Unity Authentication sign-in. Use when the user asks to add voice chat, voice comms, microphone/mic support, a voice-chat settings UI, mute button, VAD threshold, push-to-talk, proximity or spatial voice, team voice, party chat, lobby chat, direct messages, or mentions Vivox, VivoxService, com.unity.services.vivox, JoinGroupChannelAsync, JoinPositionalChannelAsync, LoginAsync, or migrating from legacy Vivox (Client.Instance / LoginSession / AccountId).
Recommend appropriate chart types for experimental data with rationale and tool hints. Geography-aware: choropleth, spatial scatter, kernel density when spatial data detected. 为实验数据推荐合适的图表类型，支持地理空间数据可视化建议。