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Skills IA testing security framework internals

Découvrez les skills testing security framework internals, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security framework internals

673–696 sur 771

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GitHub

quantization

atrawog

Model quantization for efficient inference and training. Covers precision types (FP32, FP16, BF16, INT8, INT4), BitsAndBytes configuration, memory estimation, and performance tradeoffs.

GitHub

gpu

atrawog

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...

GitHub

token-efficiency

Delphine-L

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...

GitHub

cocoindex-rust

knitli

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...

GitHub

ultrawork

gprecious

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...

GitHub

zosia-temporal-awareness

drumnation

We-layer temporal processing for Zosia. Provides efficient time awareness, gap detection, and event tracking. Feeds felt experiences to the I-layer.

GitHub

perf-analyzer

michaeldubu

Analyzes performance benchmarks from CUDA, CPU, memory tests. Parses output, identifies bottlenecks, tracks metrics over time, generates optimization insights.

GitHub

performance-optimization

meeezus

Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.

GitHub

build

AlexandrePrevot

Build the C++ backend using CMake. Use when user asks to compile, build, rebuild, or mentions CMake, compilation errors, or linking issues.

GitHub

parallel-execution-optimizer

Sjdjdiejdrirhdkjej

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...

GitHub

review-optimization

blt

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...

GitHub

benchmark-and-perf

BnJam

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...

GitHub

rust-pyo3-function

BnJam

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...

GitHub

modern-python-stack

YunosukeYoshino

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。

GitHub

python-pro

ak-eyther

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...

GitHub

dppm-orchestration

ak-eyther

Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.

GitHub

dppm-orchestration

ak-eyther

Feature development using DPPM framework (Discover, Plan, Prototype, Monitor). Use for feature planning and multi-agent orchestration.

GitHub

python-pro

ak-eyther

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...

GitHub

complexity-killer

DennisToma

Audit and remove unnecessary abstractions from the codebase. Use when user wants to simplify, reduce dependencies, or eliminate complexity that slows down AI agents.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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