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Found 1,772 Skills
BetaList platform help — pre-launch startup discovery directory where early adopters find startups before they make it big (15,000+ featured startups, 100K+ early adopters, DR67 dofollow backlink). Covers submission optimization, acceptance criteria (21% acceptance rate), free queue vs $129 Priority listing, newsletter inclusion (30K+ subscribers), listing best practices, and API access. Use when your startup needs early adopter signups, BetaList submission got rejected, not sure if Priority listing is worth $129, or listing isn't attracting enough interest. Do NOT use for multi-directory launch strategy (use /sales-launch-directory). Do NOT use for Product Hunt (use /sales-producthunt).
Keeping codebases healthy, performant, and maintainable - refactoring, performance optimization, and technical debt managementUse when "refactor, optimize, performance, technical debt, cleanup, architecture, speed up, bundle size, memory leak, slow query, code smell, complexity, dead code, performance, refactoring, optimization, technical-debt, architecture, cleanup, bundle, memory" mentioned.
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Analyze ClickHouse table structure, partitioning, ORDER BY keys, materialized views, and identify schema design anti-patterns. Use for table design issues and optimization.
Expert mobile game developer specializing in iOS and Android game optimization, touch input design, battery and thermal management, device fragmentation handling, and App Store/Play Store submission. Deep knowledge of mobile-specific constraints and best practices for shipping performant, player-friendly mobile games. Use when "mobile game, ios game, android game, touch input, mobile optimization, mobile performance, app store, play store, mobile battery, thermal throttling, mobile porting, tablet game, phone game, mobile monetization, mobile build, mobile, ios, android, touch, optimization, performance, battery, thermal, app-store, play-store, game-development, unity-mobile, godot-mobile, device-fragmentation" mentioned.
Local SEO Analysis and Optimization Expert. Automatically detect whether a project requires local SEO, analyze NAP (Name, Address, Phone) consistency, local keyword optimization, Google Business Profile (GBP) optimization, and local structured data generation. Provide search engine ranking optimization suggestions for local businesses, including NAP standardization, local keyword strategies, GBP completeness checks, review strategies, map embedding, and local SEO audits.
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
Vue 3 performance optimization and best practices guidelines for modern frontend applications. This skill should be used when writing, reviewing, or refactoring Vue 3 code to ensure optimal performance patterns, proper Composition API usage, and modern development practices. Triggers on tasks involving Vue 3 components, Composition API, reactivity, state management, or performance optimization.
Ruby performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Ruby code to ensure optimal performance patterns. Triggers on tasks involving object allocation, collection processing, ActiveRecord queries, string handling, concurrency, or Ruby runtime configuration.
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
RT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.