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Found 135 Skills
Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts
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.
OpenViking long-term memory plugin guide. Once installed, the plugin automatically remembers important facts from conversations and recalls relevant context before responding.
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
Use when app feels slow, memory grows over time, battery drains fast, or you want to profile proactively - decision trees to choose the right Instruments tool, deep workflows for Time Profiler/Allocations/Core Data, and pressure scenarios for misinterpreting results
Letta framework for building stateful AI agents with long-term memory. Use for AI agent development, memory management, tool integration, and multi-agent systems.
Add memories, learnings and context to OpenViking, aka. ov. Use when saving insights in chat. Trigger this tool when 1. sees keyword "ovm"; 2. is explicitly requested memorizing e.g. "remember ..." 3. identifies valuable memory worth adding
Nim 2.x: macros, templates, compile-time, memory ARC/ORC, FFI, Nimble, systems programming
Write the daily memory log entry. Use at end of day to record what happened.
nginx C module development guidelines based on the official nginx development guide. This skill should be used when writing, reviewing, or refactoring nginx C modules to ensure correct memory management, request lifecycle handling, and event-driven patterns. Triggers on tasks involving nginx module development, ngx_http_module_t, handler/filter/upstream implementation, pool allocation, or nginx configuration directives.
Step-by-step guide to building AI agents from simple chat loops to autonomous multi-agent systems with tools, memory, and event-driven architecture
Expert-level C++ development with modern C++20/23, STL, memory management, and performance