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Skills IA tools framework internals

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

Catégories: tools framework internals

121–144 sur 740

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GitHub

cpp-modern-features

TheBushidoCollective

Use when working with modern C++ codebases requiring features from C++11 to C++23 including lambdas, move semantics, ranges, and concepts.

GitHub

c-data-structures

TheBushidoCollective

Use when implementing data structures in C including arrays, linked lists, trees, and hash tables with manual memory management.

GitHub

nim-c-interop

TheBushidoCollective

Use when nim-C interoperability including calling C from Nim, wrapping C libraries, importc/exportc pragmas, header generation, FFI patterns, and building high-performance systems code integrating Nim with exis...

GitHub

c-data-structures

TheBushidoCollective

Use when fundamental C data structures including arrays, structs, linked lists, trees, and hash tables with memory-efficient implementations.

GitHub

discover-plt

rand

Automatically discover programming language theory skills when working with compilers. Activates for plt development tasks.

GitHub

discover-ir

rand

Automatically discover intermediate representation and compiler skills when working with intermediate representation. Activates for ir development tasks.

GitHub

perf

htlin222

Profile applications, optimize bottlenecks, and implement caching. Use for performance issues or optimization tasks.

GitHub

rust

htlin222

Write idiomatic Rust with ownership, lifetimes, and traits. Use for Rust development, memory safety, or systems programming.

GitHub

cpp

htlin222

Write modern C++ with RAII, smart pointers, and STL. Use for C++ development, memory safety, or performance optimization.

GitHub

c-lang

htlin222

Write efficient C code with proper memory management and system calls. Use for C optimization, memory issues, or system programming.

GitHub

parallel-execution-optimizer

marcusgoll

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

parallel-execution-optimizer

marcusgoll

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

touchdesigner

satoruhiga

Provides patterns and best practices for TouchDesigner via MCP API - operator creation, network layout, rendering, GLSL shaders, data conversion (CHOP/SOP/POP/TOP/DAT). Use when working with TouchDesigner netwo...

GitHub

rust

pproenca

Rust performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Rust code to ensure optimal performance patterns. Triggers on tasks involving memory allocation, owner...

GitHub

moai-lang-cpp

modu-ai

Modern C++ (C++23/C++20) development specialist covering RAII, smart pointers, concepts, ranges, modules, and CMake. Use when developing high-performance applications, games, system software, or embedded system...

GitHub

make-doom-for-mips

letta-ai

Guidance for cross-compiling complex C programs (like Doom) to run on custom MIPS virtual machines or emulators. This skill should be used when tasked with building software for non-standard MIPS targets that u...

GitHub

write-compressor

letta-ai

Guidance for implementing encoders/compressors that must produce output compatible with an existing decoder/decompressor. This skill applies when tasked with writing compression algorithms, arithmetic coders, e...

GitHub

polyglot-c-py

letta-ai

Guidance for creating polyglot files that are valid in both Python and C. This skill applies when tasked with writing code that must be parseable and executable by both the Python interpreter and C compiler. Co...

GitHub

portfolio-optimization

letta-ai

Guide for optimizing Python numerical computations with C extensions. This skill should be used when tasks involve creating C extensions for Python, implementing mathematical algorithms (matrix operations, line...

GitHub

torch-tensor-parallelism

letta-ai

This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weigh...

GitHub

largest-eigenval

letta-ai

Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves pe...

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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