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Found 111 Skills
Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.
Context compression and summarization methodology. Techniques for reducing token usage while preserving decision-critical information.
React performance optimization specialist. Expert in DevTools Profiler, memoization, Core Web Vitals, bundle optimization, and virtualization. Use this skill for performance bottlenecks, slow renders, large bundles, or memory issues in React applications.
This skill provides Zig memory management guidance. It ensures proper use of defer/errdefer patterns, allocators, and leak detection. Essential for writing Zig code with dynamic allocation, fixing memory leaks, implementing resource cleanup, and working with allocators.
Apply systematic performance optimization techniques when writing or reviewing code. Use when optimizing hot paths, reducing latency, improving throughput, fixing performance regressions, or when the user mentions performance, optimization, speed, latency, throughput, profiling, or benchmarking.
Zig systems programming with manual memory and no hidden control flow. Use for .zig files.
Identificación de cuellos de botella: CPU, memoria, event loop, queries lentas, Core Web Vitals.
The basics of how to program GPUs using Mojo. Use this skill in addition to mojo-syntax when writing Mojo code that targets GPUs or other accelerators. Use targeting code to NVIDIA, AMD, Apple silicon GPUs, or others. Use this skill to overcome misconceptions about how Mojo GPU code is written.
Store and retrieve memories (notes, facts, decisions, snippets, images) using a local SQLite database with full-text search. Use when you need to remember information across sessions, recall previous decisions, store code snippets, or search your knowledge base.
Use for Luau performance work focused on profiling hotspots, allocation-aware code structure, table and iteration costs, builtin and function-call fast paths, compiler/runtime optimization behavior, and environment constraints that change execution speed.
Persistent key-value memory storage for the agent. Store, recall, and forget information across sessions. Use when you need to remember facts, preferences, or context between conversations.
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.