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Found 1,029 Skills
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
Verify milestone achievement against its definition of done, checking requirements coverage, cross-phase integration, and end-to-end flows. Triggers include "audit milestone", "verify milestone", "check milestone", and "milestone audit". This skill reads existing phase verification files, aggregates technical debt and gaps, and spawns an integration checker for cross-phase wiring.
Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).
Define a product problem and produce a Problem Definition Pack (problem statement, JTBD, current alternatives, evidence & assumptions, success metrics, scope boundaries, prototype/learning plan). Use when clarifying the problem space.
SwiftUI implementation patterns for building Apple-quality iOS UIs. Covers design system (colors, typography, spacing), state management, layout, view composition, navigation, components, accessibility, and animation polish. This skill should be used when writing, reviewing, or refactoring SwiftUI views, layouts, state management, navigation flows, or component selection.
Practical UI design patterns and principles for creating polished, professional interfaces. Based on proven techniques from Refactoring UI and Practical UI. Use when working with ui, design, layout, spacing, typography, color, hierarchy, styling.
Check the current system status including CPU usage, memory usage, and disk space.
Auto-moderate what users post on your platform. Use when you need content moderation, flag harmful comments, detect spam, filter hate speech, catch NSFW content, block harassment, moderate user-generated content, review community posts, filter marketplace listings, or route bad content to human reviewers. Covers DSPy classification with severity scoring, confidence-based routing, and Assert-based policy enforcement.
Framework-agnostic CSS patterns for typography, color, motion, and spatial composition.
Expert blueprint for tower defense games (Bloons TD, Kingdom Rush, Fieldrunners) covering wave management, tower targeting logic, path algorithms, economy balance, and mazing mechanics. Use when building TD, lane defense, or tower placement strategy games. Keywords tower defense, wave spawner, pathfinding, targeting priority, mazing, NavigationServer baking.