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Capacity Planning Analysis

analyzing-capacity-planning

jeremylongshore/claude-code-plugins-plus-skills

Helps analyze current CPU, memory, storage, and network utilization to forecast future infrastructure needs, identify bottlenecks, and recommend scaling tactics with cost context for proactive capacity management.

Capacity Planning Analysis

analyzing-capacity-planning

jeremylongshore/claude-code-plugins-plus-skills

Helps analyze current CPU, memory, storage, and network utilization to forecast future infrastructure needs, identify bottlenecks, and recommend scaling tactics with cost context for proactive capacity management.

Cpu Profiler Config

cpu-profiler-config

jeremylongshore/claude-code-plugins-plus-skills

Automates cpu profiler configuration guidance for performance testing, covering load, stress, benchmarking, and monitoring scenarios to ensure best practices.

Performance Bottleneck Detection

detecting-performance-bottlenecks

jeremylongshore/claude-code-plugins-plus-skills

Analyzes CPU, memory, I/O, and database traces to find and fix bottlenecks, offering remediation strategies when diagnosing slow applications, optimizing resource use, or preventing performance issues.

GGUF Quantization Guide

gguf-quantization

Orchestra-Research/AI-Research-SKILLs

Provides GGUF format and llama.cpp quantization workflows for efficient CPU/Apple Silicon inference, including conversion, quantization, and runtime commands suited for deploying large models without GPUs.

Llama cpp CPU Inference

Orchestra-Research/AI-Research-SKILLs

Deploy llama.cpp to run LLM inference across CPUs, Apple Silicon, and non-NVIDIA GPUs, making it ideal for edge devices or CUDA-free setups with GGUF quantization for faster, lower-memory results.

Model Merging Techniques

Orchestra-Research/AI-Research-SKILLs

Utilize Mergekit to merge multiple fine-tuned models via SLERP, TIES, DARE, Task Arithmetic, and linear merging; perfect for preserving diverse domain skills, improving benchmark performance, and experimenting with new combinations without retraining.

CPU Usage Monitoring

monitoring-cpu-usage

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to monitor and analyze application CPU usage, detect hotspots, inefficient loops and regexes, and offer optimization strategies such as asynchronous processing or algorithmic improvements to boost performance.

Minimalist GPT Training

Orchestra-Research/AI-Research-SKILLs

NanoGPT is a hackable ~300-line PyTorch reproduction of GPT-2 for learning transformer internals; train Shakespeare or OpenWebText on CPUs or multi-GPU setups, experiment with fine-tuning/custom datasets, and prototype quickly.

Performance Testing Automation

performance-testing

jeremylongshore/claude-code-plugins-plus-skills

Automates load, stress, spike, and endurance tests through the performance-test-suite plugin, collecting response time, throughput, and error-rate metrics to spot CPU/memory/database/network bottlenecks and deliver graphs plus optimization guidance.

Application Performance Profiling

profiling-application-performance

jeremylongshore/claude-code-plugins-plus-skills

Profiles application performance by analyzing CPU usage, memory allocation, and execution time with the application-profiler plugin, then identifies bottlenecks and suggests code-level optimizations for faster execution.

Python Performance Optimization

python-performance-optimization

sickn33/antigravity-awesome-skills

Profiles and tunes Python code using cProfile, memory profilers, and best practices to find bottlenecks and speed up CPU, memory, and I/O intensive workflows before deployment.

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