Performance
Performance profiling and optimization
chrome-extension-development
by Mindrally
Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices
business-central-development
by Mindrally
Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions
angular-development
by Mindrally
Expert guidance for Angular and TypeScript development focused on scalable, high-performance web applications
angular
by Mindrally
Expert in Angular TypeScript development with scalable, high-performance patterns
data-analyst
by Mindrally
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
data-analysis-jupyter
by Mindrally
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
c-sharp
by Mindrally
Guidelines for C# development including Blazor, Unity game development, and .NET backend best practices
android-development
by Mindrally
Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications
deep-learning
by Mindrally
Comprehensive deep learning guidelines for neural network development, training, and optimization.
astro
by Mindrally
Expert in Astro framework with static generation and partial hydration patterns
huggingface-tokenizers
by NousResearch
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
peft-fine-tuning
by NousResearch
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
huggingface-tokenizers
by NousResearch
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
optimizing-attention-flash
by NousResearch
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
llama-cpp
by NousResearch
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
peft-fine-tuning
by NousResearch
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
vercel-react-native-skills
by vercel-labs
React Native and Expo best practices for building performant mobile apps. Use
Executive Resume Writer
by Paramchoudhary
Create C-suite and VP level resumes emphasizing strategic leadership
Resume Bullet Writer
by Paramchoudhary
Transform weak resume bullets into achievement-focused statements with metrics and impact
prospect-research
by Salesably
Creates comprehensive prospect profiles and knowledge capsules for sales preparation. Use this skill when researching new prospects, preparing for calls, onboarding to new accounts, or updating prospect intelligence.
brewcode:text-optimize
by kochetkov-ma
Optimizes text and docs for LLM token efficiency. Use when - optimizing prompts, reducing tokens, compressing text, condensing verbose content. Trigger keywords - optimize, reduce tokens, compress, condense, slim, tighten, too verbose, shrink.
hyperflow-cache
by jeremylongshore
Hyperflow memory manager. Use to view, search, add, edit, prune, or clear hyperflow project memory — "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y". CRUD over .hyperflow/memory/ only — never touches source code.
code-review-facilitator
by wedsamuel1230
Automated code review for Arduino/ESP32/RP2040 projects focusing on best practices, memory safety, and common pitfalls. Use when user wants code feedback, says "review my code", needs help improving code quality, or before finalizing a project. Generates actionable checklists and specific improvement suggestions.
vercel-react-best-practices
by Arize-ai
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.