Optimize Ollama configuration for maximum performance on the current machine. Use when asked to "optimize Ollama", "configure Ollama", "speed up Ollama", "tune LLM performance", "setup local LLM", "fix Ollama performance", "Ollama running slow", or when users want to maximize inference speed, reduce memory usage, or select appropriate models for their hardware. Analyzes system hardware (GPU, RAM, CPU) and provides tailored recommendations.
Reference codebase for Mt. Use this skill when you need to understand the structure, implementation patterns, or code details of the Mt project.
Generate AI-powered feature ideas based on project context, existing patterns, and target audience. Covers code improvements, UI/UX, documentation, security, performance, and code quality. Use when brainstorming features, identifying gaps, or populating the backlog with actionable ideas.
Automatically discover Zig programming skills when working with Zig. Activates for zig development tasks.
Provides Zig patterns for type-first development with tagged unions, explicit error sets, comptime validation, and memory management. Must use when reading or writing Zig files.
Fetches Zig language and standard library documentation via CLI. Activates when needing Zig API details, std lib function signatures, or language reference content that isn't covered in zig-best-practices.
Build cross-platform desktop applications with Rust using Tauri framework and native GUI alternatives
Rust performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Rust code to ensure optimal performance patterns. Triggers on tasks involving memory allocation, ownership, borrowing, iterators, async code, or performance optimization.