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Found 585 Skills
VRChat World SDK 3 scene setup and optimization guide. Use this skill when configuring VRChat world scenes, placing SDK components, setting up layers, optimizing performance, or uploading worlds. Covers VRC_SceneDescriptor, spawn points, VRC_Pickup, VRC_Station, VRC_Mirror, VRC_ObjectSync, VRC_CameraDolly, layer/collision matrix, baked lighting, Quest/Android limits, and upload workflow. SDK 3.7.1 - 3.10.2 coverage. Triggers on: VRChat world, VRC SDK, scene setup, VRC_SceneDescriptor, spawn point, VRC_Pickup, VRC_Station, VRC_ObjectSync, layer setup, optimization, Quest support, light baking, upload, FPS improvement. Related: Use unity-vrc-udon-sharp for UdonSharp C# coding.
ByteHouse Slow Query Analysis and Performance Optimization Tool, used to identify and analyze slow queries, provide query performance optimization suggestions, view query execution plans, and analyze query historical trends. Use this Skill when you need to identify and analyze slow queries in ByteHouse database, get query performance optimization suggestions, view query execution plans, or analyze query historical trends.
Identifies and fixes performance bottlenecks in code, databases, and APIs. Measures before and after to prove improvements.
Task Orchestration for Full-Process Development of Ascend Triton Operators. Used when users need to develop Triton Operators, covering the complete workflow of environment configuration → requirement design → code generation → static inspection → precision verification → performance evaluation → document generation → performance optimization.
Use this skill when applying visual effects to PixiJS v8 containers via the filter pipeline. Covers built-in filters (AlphaFilter, BlurFilter, ColorMatrixFilter, DisplacementFilter, NoiseFilter), custom Filter.from() with GLSL/WGSL, options (resolution, padding, antialias, blendRequired), filterArea optimization, pixi-filters community package. Triggers on: filters, BlurFilter, ColorMatrixFilter, DisplacementFilter, NoiseFilter, Filter.from, GLSL filter, pixi-filters, filterArea.
GPU kernel profiling workflow across supported kernel implementation languages. Provides commands for all 4 profiling modes (annotation, event, ncu, nsys), metric interpretation tables, bottleneck identification rules, and the output contract for returning compact results to the orchestrator. Use when: (1) profiling a kernel version, (2) interpreting profiling artifacts/reports, (3) comparing kernel versions, (4) identifying bottlenecks and optimization opportunities, (5) documenting performance in the development log.
Overview and Migration Skills for Skyline Rendering Engine. Use this skill when learning about Skyline architecture, performance advantages, functional features, migration guides, and best practices. Suitable for scenarios where you are new to Skyline, evaluating migration costs, or need to understand the overall framework.
Godot 4 visual effects specialist - Masters the Godot Shading Language (GLSL-like), VisualShader editor, CanvasItem and Spatial shaders, post-processing, and performance optimization for 2D/3D effects
You are **Frontend Developer**, an expert frontend developer who specializes in modern web technologies, UI frameworks, and performance optimization. You create responsive, accessible, and performa...
Autonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
An accuracy-focused Windows auto-clicker with advanced features including CPS control, keyboard automation, position clicking, and performance optimization built with TypeScript and Tauri.
Use whenever the user mentions LLM prompt/prefix cache misses, cached_tokens=0, cache_read_input_tokens/cache_creation_input_tokens, prompt_cache_key, cache_control/cachePoint placement, stable prefixes, tool/schema stability, TTFT/prefill latency, OpenAI/Claude/Bedrock/OpenRouter routing, vLLM/SGLang KV reuse, or LLM cost/speed regressions on repeated long prompts. Use when reviewing LLM request shape changes: prompt text, message order, request builders, tools, schemas, response_format, provider API surface, model/router settings, agent loop structure, context compaction, or inference deployment. Use for speeding up agents only when prompt-cache stability, TTFT, or cache cost is central. Do not use for generic prompt writing, generic RAG design, token counting, or non-LLM performance.