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Deep dive into framework internals.

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framework-internals
1.1K

golang-samber-lo

Functional programming helpers for Golang using samber/lo — 500+ type-safe generic functions for slices, maps, channels, strings, math, tuples, and concurrency (Map, Filter, Reduce, GroupBy, Chunk, Flatten, Find, Uniq, etc.). Core immutable package (lo), concurrent variants (lo/parallel aka lop), in-place mutations (lo/mutable aka lom), lazy iterators (lo/it aka loi for Go 1.23+), and experimental SIMD (lo/exp/simd). Apply when using or adopting samber/lo, when the codebase imports github.com/samber/lo, or when implementing functional-style data transformations in Go. Not for streaming pipelines (→ See golang-samber-ro skill).

samber
samber
development
open
framework-internals
1.1K

golang-samber-mo

Monadic types for Golang using samber/mo — Option, Result, Either, Future, IO, Task, and State types for type-safe nullable values, error handling, and functional composition with pipeline sub-packages. Apply when using or adopting samber/mo, when the codebase imports `github.com/samber/mo`, or when considering functional programming patterns as a safety design for Golang.

samber
samber
development
open
framework-internals
1.1K

hypercode-forge

🚀 HyperCode Forge - Competitive compression engine for MCP workflows

inclusionAI
inclusionAI
development
open
framework-internals
1.1K

c2-sliver

Sliver C2 framework operations — server connection, listener setup, implant generation, BOF/Armory extensions, post-implant operations, HTTP C2 profiles.

PurpleAILAB
PurpleAILAB
development
open
framework-internals
1.1K

defense-evasion

Endpoint defense bypass — AMSI/ETW patching, ScareCrow framework, custom loaders, direct/indirect syscalls, LOLBAS execution, process injection.

PurpleAILAB
PurpleAILAB
development
open
framework-internals
1.1K

dart-io

DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API

dartsim
dartsim
development
open
framework-internals
1.1K

dart-python

DART Python bindings (dartpy) - nanobind, wheel building, API patterns

dartsim
dartsim
development
open
framework-internals
1.1K

dart-python

DART Python bindings (dartpy) - nanobind, wheel building, API patterns

dartsim
dartsim
development
open
framework-internals
1.1K

dart-io

DART model loading - URDF, SDF, MJCF, SKEL parsers and dart::io unified API

dartsim
dartsim
development
open
framework-internals
1K

technology-selection

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).

dotnet
dotnet
development
open
framework-internals
1K

dotnet-pinvoke

Correctly call native (C/C++) libraries from .NET using P/Invoke and LibraryImport. Covers function signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns. USE FOR: writing new P/Invoke or LibraryImport declarations, reviewing or debugging existing native interop code, wrapping a C or C++ library for use in .NET, diagnosing crashes, memory leaks, or corruption at the managed/native boundary. DO NOT USE FOR: COM interop, C++/CLI mixed-mode assemblies, or pure managed code with no native dependencies.

dotnet
dotnet
development
open
framework-internals
1K

migrate-dotnet9-to-dotnet10

Migrate a .NET 9 project or solution to .NET 10 and resolve all breaking changes. USE FOR: upgrading TargetFramework from net9.0 to net10.0, fixing build errors after updating the .NET 10 SDK, resolving source and behavioral changes in .NET 10 / C# 14 / ASP.NET Core 10 / EF Core 10, updating Dockerfiles for Debian-to-Ubuntu base images, resolving obsoletion warnings (SYSLIB0058-SYSLIB0062), adapting to SDK/NuGet changes (NU1510, PrunePackageReference), migrating System.Linq.Async to built-in AsyncEnumerable, fixing OpenApi v2 API changes, cryptography renames, and C# 14 compiler changes (field keyword, extension keyword, span overloads). DO NOT USE FOR: .NET Framework migrations, upgrading from .NET 8 or earlier (use migrate-dotnet8-to-dotnet9 first), greenfield .NET 10 projects, or cosmetic modernization. LOADS REFERENCES: csharp-compiler, core-libraries, sdk-msbuild (always); aspnet-core, efcore, cryptography, extensions-hosting, serialization-networking, winforms-wpf, containers-interop (selective).

dotnet
dotnet
development
open
framework-internals
1K

thread-abort-migration

Guides migration of .NET Framework Thread.Abort usage to cooperative cancellation in modern .NET. USE FOR: modernizing code that calls Thread.Abort, catching ThreadAbortException, replacing Thread.ResetAbort, replacing Thread.Interrupt for thread termination, resolving PlatformNotSupportedException or SYSLIB0006 after retargeting to .NET 6+, migrating ASP.NET Response.End or Response.Redirect(url, true) which internally call Thread.Abort. DO NOT USE FOR: code that only uses Thread.Join, Thread.Sleep, or Thread.Start without any abort, interrupt, or ThreadAbortException usage — these APIs work identically in modern .NET and need no migration. Also not for projects staying on .NET Framework, or Thread.Abort usage inside third-party libraries you do not control.

dotnet
dotnet
development
open
framework-internals
1K

migrate-dotnet8-to-dotnet9

Migrate a .NET 8 project to .NET 9 and resolve all breaking changes. USE FOR: upgrading TargetFramework from net8.0 to net9.0, fixing build errors after updating the .NET 9 SDK, resolving behavioral changes in .NET 9 / C# 13 / ASP.NET Core 9 / EF Core 9, replacing BinaryFormatter (now always throws), resolving SYSLIB0054-SYSLIB0057, adapting to params span overload resolution, fixing C# 13 compiler changes, updating HttpClientFactory for SocketsHttpHandler, and resolving EF Core 9 migration/Cosmos DB changes. DO NOT USE FOR: .NET Framework migrations, upgrading from .NET 7 or earlier, greenfield .NET 9 projects, or cosmetic modernization unrelated to the upgrade.

dotnet
dotnet
development
open
framework-internals
1K

dotnet-aot-compat

Make .NET projects compatible with Native AOT and trimming by systematically resolving IL trim/AOT analyzer warnings. USE FOR: making projects AOT-compatible, fixing trimming warnings, resolving IL warnings (IL2026, IL2070, IL2067, IL2072, IL3050), adding DynamicallyAccessedMembers annotations, enabling IsAotCompatible. DO NOT USE FOR: publishing native AOT binaries, optimizing binary size, replacing reflection-heavy libraries with alternatives. INVOKES: no tools — pure knowledge skill.

dotnet
dotnet
development
open
framework-internals
1K

mixed-precision-trainer

Mixed Precision Trainer - Auto-activating skill for ML Training. Triggers on: mixed precision trainer, mixed precision trainer Part of the ML Training skill category.

jeremylongshore
jeremylongshore
development
open
framework-internals
1K

optimizing-deep-learning-models

This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".

jeremylongshore
jeremylongshore
development
open
framework-internals
1K

gpu-resource-optimizer

Gpu Resource Optimizer - Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category.

jeremylongshore
jeremylongshore
development
open
framework-internals
1K

optimizing-deep-learning-models

This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".

jeremylongshore
jeremylongshore
development
open
framework-internals
1K

optimizing-deep-learning-models

This skill optimizes deep learning models using various techniques. It is triggered when the user requests improvements to model performance, such as increasing accuracy, reducing training time, or minimizing resource consumption. The skill leverages advanced optimization algorithms like Adam, SGD, and learning rate scheduling. It analyzes the existing model architecture, training data, and performance metrics to identify areas for enhancement. The skill then automatically applies appropriate optimization strategies and generates optimized code. Use this skill when the user mentions "optimize deep learning model", "improve model accuracy", "reduce training time", or "optimize learning rate".

jeremylongshore
jeremylongshore
development
open
framework-internals
1K

rust-router

CRITICAL: Use for ALL Rust questions including errors, design, and coding. HIGHEST PRIORITY for: 比较, 对比, compare, vs, versus, 区别, difference, 最佳实践, best practice, tokio vs, async-std vs, 比较 tokio, 比较 async, Triggers on: Rust, cargo, rustc, crate, Cargo.toml, 意图分析, 问题分析, 语义分析, analyze intent, question analysis, compile error, borrow error, lifetime error, ownership error, type error, trait error, value moved, cannot borrow, does not live long enough, mismatched types, not satisfied, E0382, E0597, E0277, E0308, E0499, E0502, E0596, async, await, Send, Sync, tokio, concurrency, error handling, 编译错误, compile error, 所有权, ownership, 借用, borrow, 生命周期, lifetime, 类型错误, type error, 异步, async, 并发, concurrency, 错误处理, error handling, 问题, problem, question, 怎么用, how to use, 如何, how to, 为什么, why, 什么是, what is, 帮我写, help me write, 实现, implement, 解释, explain

actionbook
actionbook
development
open
framework-internals
1K

domain-embedded

Use when developing embedded/no_std Rust. Keywords: embedded, no_std, microcontroller, MCU, ARM, RISC-V, bare metal, firmware, HAL, PAC, RTIC, embassy, interrupt, DMA, peripheral, GPIO, SPI, I2C, UART, embedded-hal, cortex-m, esp32, stm32, nrf, 嵌入式, 单片机, 固件, 裸机

actionbook
actionbook
development
open
framework-internals
992

winapp-frameworks

Framework-specific Windows development guidance for Electron, .NET (WPF, WinForms), C++, Rust, Flutter, and Tauri. Use when packaging or adding Windows features to an Electron app, .NET desktop app, Flutter app, Tauri app, Rust app, or C++ app.

microsoft
microsoft
development
open
framework-internals
972

espdl-operator

End-to-end guide for implementing, testing, and optimizing neural network operators in the ESP-DL framework. Covers C++ module implementation, C reference kernels, SIMD assembly optimization, esp-ppq quantization strategy integration, Docker-based build/test, and inference result alignment between esp-dl and esp-ppq. Use this skill whenever the user wants to add a new operator, implement an operator, optimize an existing operator with SIMD, add quantization support for an operator, or test/validate operator correctness. Also triggers for "算子实现", "添加算子", "SIMD优化", "量化支持", "算子对齐" and similar phrases.

espressif
espressif
development
open
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