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tools framework internals AI 技能

发现 tools framework internals 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: tools framework internals

显示第 385–408 个,共 740 个

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GitHub

performance-review

kcenon

Provides performance optimization guidelines for profiling, caching, memory management, and concurrency. Use when optimizing slow code, fixing memory leaks, improving throughput, or conducting performance revie...

GitHub

performance-review

kcenon

Provides performance optimization guidelines for profiling, caching, memory management, and concurrency. Use when optimizing slow code, fixing memory leaks, improving throughput, or conducting performance revie...

GitHub

axiom-swift-performance

harivansh-afk

Use when optimizing Swift code performance, reducing memory usage, improving runtime efficiency, dealing with COW, ARC overhead, generics specialization, or collection optimization

GitHub

zig

nounder

Use when writing Zig code. Contains Zig 0.15 API changes and patterns.

GitHub

chip-semantic-versioning

Devil-SX

Hardware chip semantic versioning scheme for IC modules. Defines MAJOR.MINOR.PATCH conventions for RTL design and verification changes.

GitHub

ufc-orchestration

wolfiesch

Use this skill when receiving any task that might benefit from parallel execution. Auto-detects parallelizable work patterns based on task description and suggests optimal execution strategy (Claude sub-agents,...

GitHub

python-developer

dengineproblem

Эксперт Python разработки. Используй для Python best practices, async, typing и ecosystem.

GitHub

ftclib

ncssm-robotics

Helps write FTC robot code using the FTCLib library. Use for command-based programming, subsystems, GamepadEx input handling, Pure Pursuit path following, or vision pipelines.

GitHub

gpu-workflow-creator

gpu-cli

Transform natural language requests into complete GPU CLI workflows. The ultimate skill for Mac users who want to run NVIDIA GPU workloads without configuration complexity. Describe what you want, get a working...

GitHub

compound-engineering

48Nauts-Operator

Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan -> Work -> Review -> Compound loop where each unit...

GitHub

gpu-architecture-advisor

keith-mvs

Provide architecture-specific GPU optimization advice for NVIDIA GPUs (Ampere, Hopper, Ada). Use when discussing GPU architecture features, compute capability, or hardware-specific optimizations.

GitHub

cuda-optimization

keith-mvs

Optimize CUDA kernels and GPU code for performance. Use when reviewing CUDA code, analyzing performance, or suggesting GPU optimizations.

GitHub

units-design

marcoloco23

Design new unit modules for dimtensor. Use when creating astronomy, chemistry, engineering, or other domain-specific units.

GitHub

refactorpytorch

SnakeO

Refactor PyTorch code to improve maintainability, readability, and adherence to best practices. Identifies and fixes DRY violations, long functions, deep nesting, SRP violations, and opportunities for modular c...

GitHub

debugpytorch

SnakeO

Debug PyTorch issues systematically. Use when encountering tensor errors, CUDA out of memory errors, gradient problems like NaN loss or exploding gradients, shape mismatches between layers, device conflicts bet...

GitHub

performance

surfdeeper

Apply performance optimization patterns for game loop, rendering, and state updates. Use when discussing frame rate, optimization, profiling, or when editing core game loop code. Auto-apply when user mentions "...

GitHub

prompt-optimizer

joaocarlos

Optimizes outputs by interpreting underspecified prompts before execution. Analyzes user input, infers missing context and specifications, then executes an enhanced version. Produces better results directly rat...

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