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Found 84 Skills
Check Nowledge Mem connection status, server version, CLI version, and configuration. Use when diagnosing issues or verifying setup.
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.
Guide for writing MoonBit bindings to C libraries using native FFI. Use when adding extern "c" declarations, writing C stubs with moonbit.h, configuring native-stub and link.native in moon.pkg, choosing
Set up the Basic Memory plugin for this project — a short guided interview that configures the project mapping, seeds note schemas, learns or suggests placement conventions, and enables capture reflexes. Use when the user runs /basic-memory:setup, says "set up basic memory", or asks to configure/bootstrap the plugin.
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
Master iOS development foundations - Architecture, lifecycle, memory, concurrency
Use when C++ smart pointers including unique_ptr, shared_ptr, and weak_ptr for automatic memory management following RAII principles.
Expert-level C++ development with modern C++20/23, STL, memory management, and performance
Titanium SDK architecture and implementation expert. Use when designing, reviewing, analyzing, or examining Titanium project structure (Alloy or Classic), creating controllers/views/services, choosing models vs collections, implementing communication patterns, handling memory cleanup, testing, auditing code, or migrating legacy apps. Automatically identifies project type.
ALWAYS ACTIVE — Persistent memory protocol. You MUST save decisions, conventions, bugs, and discoveries to engram proactively. Do NOT wait for the user to ask.
This skill should be used when the user asks to "use NumPy", "write NumPy code", "optimize NumPy arrays", "vectorize with NumPy", or needs guidance on NumPy best practices, array operations, broadcasting, memory management, or scientific computing with Python.
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.