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Framework Internals

Browse agent skills for framework development, compiler optimization, and low-level components

Categories, GitHub stars, and source recency help organize and order the catalog. These signals are not an endorsement, quality certification, safety review, or guarantee of fit. Open a skill detail and inspect its source before use.

22,284 results

implement-spec
256.4k
mattpocockmattpocock/skills
Implement a specification in code.
python-patterns
253.2k
affaan-maffaan-m/ECC
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。

Skill content language: Japanese

pytorch-patterns
253.2k
affaan-maffaan-m/ECC
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。

Skill content language: Chinese

regex-vs-llm-structured-text
253.2k
affaan-maffaan-m/ECC
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。

Skill content language: Chinese

pytorch-patterns
253.2k
affaan-maffaan-m/ECC
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.
accelerate
243.2k
NousResearchNousResearch/hermes-agent
Run PyTorch training across GPUs with minimal changes.
peft
243.2k
NousResearchNousResearch/hermes-agent
Fine-tune large LLMs with LoRA on limited GPU memory.
unsloth
243.2k
NousResearchNousResearch/hermes-agent
Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.
darwinian-evolver
243.2k
NousResearchNousResearch/hermes-agent
Evolve prompts/regex/SQL/code with Imbue's evolution loop.
godmode
243.2k
NousResearchNousResearch/hermes-agent
Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.
flags
142.2k
vercelvercel/next.js
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.
wpf-to-winui3-migration
138.6k
microsoftmicrosoft/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.
caveman
104.2k
JuliusBrusseeJuliusBrussee/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".
caveman
104.2k
JuliusBrusseeJuliusBrussee/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".
add-uint-support
102.8k
pytorchpytorch/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.
at-dispatch-v2
102.8k
pytorchpytorch/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.
cuda-index-width
102.8k
pytorchpytorch/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.
metal-kernel
102.8k
pytorchpytorch/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.
pt2-bug-basher
102.8k
pytorchpytorch/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.
plan-change
93.1k
ruvnetruvnet/RuView
Turn a feature request into a minimal, file-level implementation plan before any code.
triton-kernel-writing
91.5k
vllm-projectvllm-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.
programming
68.8k
code-yeongyucode-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.
dedupe-issue-local
64.9k
warpdotdevwarpdotdev/warp
Repo-specific dedupe guidance for warp. Only the categories declared overridable by the core dedupe-issue skill may be specialized here.
hyperframes-registry
56.4k
calesthiocalesthio/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).
analysis-api-mark-internal-apis
53.4k
JetBrainsJetBrains/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
decompress-binary
49.2k
ClickHouseClickHouse/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.
fe-modularization
49.2k
metabasemetabase/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.
stage-tamagotchi-godot-csharp
48.9k
moeru-aimoeru-ai/airi
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`.
discourse-upcoming-changes-authoring
47.8k
discoursediscourse/discourse
Use when modifying, debugging, or extending the upcoming changes framework code and system itself.
opentrons-integration
43.9k
K-Dense-AIK-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.
pennylane
43.9k
K-Dense-AIK-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.
pymoo
43.9k
K-Dense-AIK-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.
pytorch-lightning
43.9k
K-Dense-AIK-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.
torchdrug
43.9k
K-Dense-AIK-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.
claude-md
41.4k
luongnv89luongnv89/claude-howto
Tạo hoặc cập nhật các file CLAUDE.md theo các thực hành tốt nhất để onboarding tác nhân AI tối ưu

Skill content language: Vietnamese

chakra-ui-migrate
40.6k
chakra-uichakra-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.
spark-environment-setup
39.5k
wshobsonwshobson/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.
python-error-handling
39.5k
wshobsonwshobson/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.
create-implementation-plan
38.8k
githubgithub/awesome-copilot
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
csharp-async
38.8k
githubgithub/awesome-copilot
Get best practices for C# async programming
dotnet-upgrade
38.8k
githubgithub/awesome-copilot
Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution
ef-core
38.8k
githubgithub/awesome-copilot
Get best practices for Entity Framework Core
multi-stage-dockerfile
38.8k
githubgithub/awesome-copilot
Create optimized multi-stage Dockerfiles for any language or framework
mvvm-toolkit
38.8k
githubgithub/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.
refactor-method-complexity-reduce
38.8k
githubgithub/awesome-copilot
Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.
semantic-kernel
38.8k
githubgithub/awesome-copilot
Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.
add-sgl-kernel
35.8k
sgl-projectsgl-project/sglang
Step-by-step tutorial for adding a heavyweight AOT CUDA/C++ kernel to sgl-kernel (including tests & benchmarks)
competition-kernel-container-escape
35.0k
zhaoxuya520zhaoxuya520/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.