Loading...
Loading...
Found 67 Skills
Expert-level C++ development with modern C++20/23, STL, memory management, and performance
Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
Context compression and summarization methodology. Techniques for reducing token usage while preserving decision-critical information.
Agent skill for worker-specialist - invoke with $agent-worker-specialist
AI Agent long-term memory system with cross-session, cross-project persistence. Triggers: - /remember - Store memories - /recall - Search memories - /forget - Delete/archive memories - /memory-status - Check status - When needing to persist important conversation insights - When sharing user preferences across projects
Comprehensive Zig 0.15.2 development expert. Use when writing Zig code, debugging memory issues, designing build systems, implementing comptime metaprogramming, handling errors, or cross-compiling. Automatically activated for any .zig file or build.zig work.
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.
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.
Long-term semantic memory across sessions using Mem0. Use when you need to remember, recall, or forget information across sessions, or when referencing what we discussed last time or in a previous session.
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.