quantization
Model quantization for efficient inference and training. Covers precision types (FP32, FP16, BF16, INT8, INT4), BitsAndBytes configuration, memory estimation, and performance tradeoffs.
发现 testing security framework internals 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Model quantization for efficient inference and training. Covers precision types (FP32, FP16, BF16, INT8, INT4), BitsAndBytes configuration, memory estimation, and performance tradeoffs.
GPU driver configuration for Bazzite. NVIDIA proprietary drivers, Optimus laptops, NVK (open-source NVIDIA), GPU switching, Broadcom WiFi, and Mesa testing builds. Use when users need to configure graphics driv...
implements the coding tasks.
Token optimization best practices for cost-effective Claude Code usage. Automatically applies efficient file reading, command execution, and output handling strategies. Includes model selection guidance (Opus f...
Comprehensive toolkit for developing with the CocoIndex Rust API. Use when building high-performance operators, embedding the engine in Rust applications, or extending the core framework. Covers LibContext mana...
ulw 또는 ultrawork 키워드로 활성화되는 병렬 에이전트 오케스트레이션 모드. "ulw:", "ultrawork:", "ulw", "울트라워크" 입력 시 사용. 모든 외부 도구 총동원, 완료 강제 모드. oh-my-opencode의 Ultrawork/Sisyphus 패턴...
We-layer temporal processing for Zosia. Provides efficient time awareness, gap detection, and event tracking. Feeds felt experiences to the I-layer.
Analyzes performance benchmarks from CUDA, CPU, memory tests. Parses output, identifies bottlenecks, tracks metrics over time, generates optimization insights.
Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.
Build the C++ backend using CMake. Use when user asks to compile, build, rebuild, or mentions CMake, compilation errors, or linking issues.
Identify and execute independent operations in parallel for 3-5x speedup. Auto-analyzes task dependencies, groups into batches, launches parallel Task() calls. Applies to /optimize (5 checks), /ship pre-flight...
Generate optimized SQLite extensions in C, Rust, or Mojo
Advanced memory management techniques for the OpenCode memory system
Reviews memory optimization patches using a 5-persona peer review system. Requires unanimous approval backed by benchmarks. Bugs discovered during review are valuable - invoke /validate-correctness to validate...
Measure, compare, and improve eo-processor performance safely. Use when adding/changing Rust compute kernels, refactoring hot paths, or making performance claims. Provides a repeatable benchmark protocol with c...
Implement or modify a Rust function exposed to Python via PyO3 in eo-processor. Use when adding new compute kernels, fixing numerical/shape bugs in the Rust core, or wiring Rust functions into the Python module...
Astral社製ツール(uv, Ruff, ty)でPython開発環境を構築。プロジェクト作成、依存関係管理、コード品質改善、CI/CD設定時に使用。
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use for ML training, analyt...
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.
Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use for ML training, analyt...
Audit and remove unnecessary abstractions from the codebase. Use when user wants to simplify, reduce dependencies, or eliminate complexity that slows down AI agents.
Add two integers and respond in a fixed format.
Backend Compiler Expert
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。