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Found 1,237 Skills
Architectural refactoring guide for Rust applications covering type safety, ownership patterns, error handling strategies, API design, project organization, module structure, naming conventions, conversion traits, and idiomatic patterns. Use when refactoring Rust codebases, reviewing PRs for architectural issues, improving type safety, designing error handling strategies, or organizing project structure. Complements the rust-optimise skill (performance patterns). Does NOT cover performance optimization, memory allocation, or async concurrency tuning (see rust-optimise skill).
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.
Design intuitive user experiences following Jobs-era Apple principles. Use this skill when designing onboarding flows, empty states, dashboards, user journeys, CTAs, forms, or any UI that needs to anticipate user needs and reduce friction. Applies progressive disclosure, anticipatory design, and conversion optimization principles.
Expert SEO strategist specializing in technical SEO, content optimization, and search engine rankings. Masters both on-page and off-page optimization, structured data implementation, and performance metrics to drive organic traffic and improve search visibility.
Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
Design optimized database schemas for SQL and NoSQL databases including tables, relationships, indexes, and constraints. Creates ERD diagrams, migration scripts, and data modeling best practices. Use when users need database design, schema optimization, or data architecture planning.
Create brand-safe content for athletes. Personal branding strategy, engagement optimization, crisis communication, sponsor integration.
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
Use when "LLM inference", "serving LLM", "vLLM", "llama.cpp", "GGUF", "text generation", "model serving", "inference optimization", "KV cache", "continuous batching", "speculative decoding", "local LLM", "CPU inference"
Optimize Databricks costs with cluster policies, spot instances, and monitoring. Use when reducing cloud spend, implementing cost controls, or analyzing Databricks usage costs. Trigger with phrases like "databricks cost", "reduce databricks spend", "databricks billing", "databricks cost optimization", "cluster cost".
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".