Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers nativefunctions.yaml dispatch, host-side operators, and Metal kernel implementation.
RuView Marketplace: Claude Code + Codex plugins for WiFi sensing — configuration, applications, model training, and onboarding, from practical to advanced.
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Claude Code instructions for home-assistant/core, a project described as: :housewithgarden: Open source home automation that puts local control and privacy first.
Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research…
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and…
This document describes how the unified three-layer Device Agent architecture is implemented across different platforms. While the core framework (State, Processor, Command layers) remains consistent, each platform implements specialized agents optimized for their native control mechanisms and hierarchies.…
Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety. Use before merging significant driver changes, new platform ports, or when auditing existing ESP32 FastLED code.
Parse and classify ESP32 serial log output to identify FastLED-related errors, RMT/I2S/SPI driver faults, timing violations, RTOS issues, and crash signatures. Use when debugging unexpected device behavior, boot failures, or LED output problems on ESP32.
Claude Code instructions for FastLED/FastLED, covering fastled ai agent guidelines, read the right file for your task, key commands, core rules (all agents) and git and code publishing.
Gemini CLI instructions for FastLED/FastLED, a project described as: The FastLED library for colored LED animation on Arduino. Please direct questions/requests for help to the FastLED Reddit community: http://fastled.io/r We'd like to use github "issues" just for tracking library bugs / enhancements.
Skills for MLX-VLM: command-line and server inference, convert/quantize, adding new models, benchmarking, contributing, cached-model listing, and reproducible GitHub issues.
LLM agents run as native dimOS modules. They subscribe to camera, LiDAR, odometry, and spatial memory streams and they control the robot through skills.
Develop, test and ship the Go agent probe (apps/agent) — build/test commands, protocol versioning, the nekoagent service wrapper, and constraints of router environments (OpenWrt/tmpfs). Use for any change under apps/agent.
Guide for PCIe DMA threat modeling, FPGA-based memory access, and defensive implications in game security. Use this skill when researching pcileech, BAR and TLP behavior, page-table walking, IOMMU or VT-d, device impersonation, firmware mimicry, or DMA detection and mitigation in game security research.
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered workflows.
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Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
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At most 3 mods per repository are shown here — the rest are on their repository pages: