داخليات الإطار

تصفح مهارات الوكيل لتطوير الإطار وتحسين المترجم والمكونات منخفضة المستوى

تساعد الفئات ونجوم GitHub وتاريخ آخر تحديث في المصدر على تنظيم الفهرس وترتيب نتائجه. ولا تمثل هذه الإشارات توصية من SkillsMP أو اعتمادًا للجودة أو مراجعةً للسلامة أو ضمانًا للملاءمة. افتح صفحة المهارة وافحص مصدرها قبل الاستخدام.

٢١٬٧٥٤ نتيجة

mattpocock/skills

Implement a specification in code.

لغة محتوى المهارة: الإنجليزية

python-patterns

Pythonic イディオム、PEP 8標準、型ヒント、堅牢で効率的かつ保守可能なPythonアプリケーションを構築するためのベストプラクティス。

لغة محتوى المهارة: اليابانية

pytorch-patterns

PyTorch深度学习模式与最佳实践，用于构建稳健、高效且可复现的训练流程、模型架构和数据加载。

لغة محتوى المهارة: الصينية

regex-vs-llm-structured-text

选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。

لغة محتوى المهارة: الصينية

pytorch-patterns

PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce.

لغة محتوى المهارة: الإنجليزية

NousResearch/hermes-agent

Run PyTorch training across GPUs with minimal changes.

لغة محتوى المهارة: الإنجليزية

NousResearch/hermes-agent

Fine-tune large LLMs with LoRA on limited GPU memory.

لغة محتوى المهارة: الإنجليزية

NousResearch/hermes-agent

Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.

لغة محتوى المهارة: الإنجليزية

darwinian-evolver

NousResearch/hermes-agent

Evolve prompts/regex/SQL/code with Imbue's evolution loop.

لغة محتوى المهارة: الإنجليزية

NousResearch/hermes-agent

Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

لغة محتوى المهارة: الإنجليزية

How to add or modify Next.js experimental feature flags end-to-end. Use when editing config-shared.ts, config-schema.ts, define-env-plugin.ts, next-server.ts, export/worker.ts, or module.compiled.js. Covers type declaration, zod schema, build-time injection, runtime env plumbing, and the decision between runtime env-var branching vs separate bundle variants.

لغة محتوى المهارة: الإنجليزية

wpf-to-winui3-migration

microsoft/PowerToys

Guide for migrating PowerToys modules from WPF to WinUI 3 (Windows App SDK). Use when asked to migrate WPF code, convert WPF XAML to WinUI, replace System.Windows namespaces with Microsoft.UI.Xaml, update Dispatcher to DispatcherQueue, replace DynamicResource with ThemeResource, migrate imaging APIs from System.Windows.Media.Imaging to Windows.Graphics.Imaging, convert WPF Window to WinUI Window, migrate .resx to .resw resources, migrate custom Observable/RelayCommand to CommunityToolkit.Mvvm source generators, handle WPF-UI (Lepo) to WinUI native control migration, or fix installer/build pipeline issues after migration. Keywords: WPF, WinUI, WinUI3, migration, porting, convert, namespace, XAML, Dispatcher, DispatcherQueue, imaging, BitmapImage, Window, ContentDialog, ThemeResource, DynamicResource, ResourceLoader, resw, resx, CommunityToolkit, ObservableProperty, WPF-UI, SizeToContent, AppWindow, SoftwareBitmap.

لغة محتوى المهارة: الإنجليزية

JuliusBrussee/caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

لغة محتوى المهارة: الإنجليزية

JuliusBrussee/caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

لغة محتوى المهارة: الإنجليزية

add-uint-support

pytorch/pytorch

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

لغة محتوى المهارة: الإنجليزية

pytorch/pytorch

Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.

لغة محتوى المهارة: الإنجليزية

cuda-index-width

pytorch/pytorch

Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. Use when fixing large-tensor indexing overflows, deciding whether to use int64_t, canUse32BitIndexMath, CUDA_KERNEL_LOOP_TYPE, or AT_DISPATCH_INDEX_TYPES, and when considering binary-size or performance impact of index-type templating.

لغة محتوى المهارة: الإنجليزية

pytorch/pytorch

Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers native_functions.yaml dispatch, host-side operators, and Metal kernel implementation.

لغة محتوى المهارة: الإنجليزية

pytorch/pytorch

Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Use when encountering torch.compile errors, BackendCompilerFailed exceptions, recompilation issues, Triton kernel failures, FX graph problems, or when the user mentions debugging PT2, Dynamo, Inductor, or compiled model issues.

لغة محتوى المهارة: الإنجليزية

Turn a feature request into a minimal, file-level implementation plan before any code.

لغة محتوى المهارة: الإنجليزية

triton-kernel-writing

vllm-project/vllm

Write or review Triton kernels for vLLM, with practical guidance for generated-code inspection, launch grids, indexing, specialization, tuning, and representative performance validation.

لغة محتوى المهارة: الإنجليزية

code-yeongyu/oh-my-openagent

Applies strict, modern language practice (typed errors, exhaustive match, TDD) for Python, Rust, TypeScript, and Go. Use for work on .py, .rs, .ts, or .go files.

لغة محتوى المهارة: الإنجليزية

dedupe-issue-local

warpdotdev/warp

Repo-specific dedupe guidance for warp. Only the categories declared overridable by the core dedupe-issue skill may be specialized here.

لغة محتوى المهارة: الإنجليزية

hyperframes-registry

calesthio/OpenMontage

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

لغة محتوى المهارة: الإنجليزية

analysis-api-mark-internal-apis

JetBrains/kotlin

Drive the per-module internal-API codebase test, then refine the suggested annotations down to `internal` (or up to `@KaImplementationDetail`) based on actual external usage

لغة محتوى المهارة: الإنجليزية

fe-modularization

metabase/metabase

Deciding where frontend code lives — tier model, move mechanics, extension points, side effects, naming, and the traps. Use when moving code between modules, carving new modules, fixing boundary violations, adding a barrel or an endpoint, or reviewing module-shape decisions.

لغة محتوى المهارة: الإنجليزية

decompress-binary

ClickHouse/ClickHouse

Extract the inner ELF from a ClickHouse self-extracting `clickhouse` binary, including when its architecture differs from the host (e.g. to load an aarch64 CI core dump on an x86 workstation). Use when gdb/lldb needs real symbols from a downloaded CI/release binary, or when self-extraction by running the binary is not possible because of an architecture mismatch.

لغة محتوى المهارة: الإنجليزية

stage-tamagotchi-godot-csharp

Apply engine-local C# development method and code style only when working in `engines/stage-tamagotchi-godot`, including its `.cs` files, `.csproj`, engine-local `.editorconfig`, and Godot-specific C# structure decisions. Do not use for TypeScript, Electron, renderer code, shared workspace config, repo-wide C# conventions, or any file outside `engines/stage-tamagotchi-godot`.

لغة محتوى المهارة: الإنجليزية

discourse-upcoming-changes-authoring

discourse/discourse

Use when modifying, debugging, or extending the upcoming changes framework code and system itself.

لغة محتوى المهارة: الإنجليزية

opentrons-integration

K-Dense-AI/scientific-agent-skills

Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch or JAX. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.

لغة محتوى المهارة: الإنجليزية

pytorch-lightning

K-Dense-AI/scientific-agent-skills

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

Build and troubleshoot TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Engine.

لغة محتوى المهارة: الإنجليزية

luongnv89/claude-howto

Tạo hoặc cập nhật các file CLAUDE.md theo các thực hành tốt nhất để onboarding tác nhân AI tối ưu

لغة محتوى المهارة: الفيتنامية

chakra-ui-migrate

chakra-ui/chakra-ui

Migrate Chakra UI projects from v2 to v3, covering package changes, codemods, provider setup, color mode, prop renaming, compound components, theming, recipes, and Next.js updates. Use this skill whenever a user is upgrading Chakra UI versions, encountering breaking changes after an upgrade, converting old v2 patterns (ColorModeScript, useColorModeValue, styleConfig, extendTheme, isDisabled, colorScheme, @chakra-ui/icons, framer-motion dependency), fixing compound component patterns, or asking about differences between Chakra UI v2 and v3 — even if they don't say "migrate" or "upgrade" explicitly.

لغة محتوى المهارة: الإنجليزية

spark-environment-setup

wshobson/agents

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.

لغة محتوى المهارة: الإنجليزية

python-error-handling

wshobson/agents

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

لغة محتوى المهارة: الإنجليزية

create-implementation-plan

github/awesome-copilot

Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.

لغة محتوى المهارة: الإنجليزية

github/awesome-copilot

Get best practices for C# async programming

لغة محتوى المهارة: الإنجليزية

github/awesome-copilot

Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution

لغة محتوى المهارة: الإنجليزية

github/awesome-copilot

Get best practices for Entity Framework Core

لغة محتوى المهارة: الإنجليزية

multi-stage-dockerfile

github/awesome-copilot

Create optimized multi-stage Dockerfiles for any language or framework

لغة محتوى المهارة: الإنجليزية

github/awesome-copilot

CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.

لغة محتوى المهارة: الإنجليزية

refactor-method-complexity-reduce

github/awesome-copilot

Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.

لغة محتوى المهارة: الإنجليزية

semantic-kernel

github/awesome-copilot

Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.

لغة محتوى المهارة: الإنجليزية

competition-kernel-container-escape

zhaoxuya520/reverse-skill

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for kernel attack surface, namespace and cgroup boundaries, container isolation assumptions, syscall paths, and escape primitive verification. Use when the user asks to analyze container-to-host escape paths, kernel exploit prerequisites, namespace crossover, capability misuse, or prove whether an exploit primitive crosses the sandbox boundary. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

لغة محتوى المهارة: الإنجليزية

competition-malware-config

zhaoxuya520/reverse-skill

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for malware configuration recovery, staged payload boundaries, beacon parameter extraction, and IOC decoding. Use when the user asks to recover a malware config, decode C2 or beacon fields, unpack staged payloads, extract bot or campaign IDs, or tie recovered config to observed protocol behavior under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

لغة محتوى المهارة: الإنجليزية