deep-learning-papers-guide
Annotated deep learning paper implementations with code walkthroughs
Annotated deep learning paper implementations with code walkthroughs
PyTorch Lightning framework for scalable model training and research
Avoid common PyTorch mistakes and apply robust training patterns
TensorFlow best practices for tf.function, GPU memory, and deployment
Structured malware triage and reverse-engineering orchestration for PE, ELF, and Mach-O binaries with strict artifact dumping to a status folder. Use when requests involve malware sample analysis, strings triage, API/import analysis, behavioral hypothesis generation, component mapping, deep-analysis planning, Binary Ninja MCP usage, Ghidra MCP usage, or role-based orchestration (orchestrator/planner/reporter) with complete intermediate outputs.
Structured malware triage and reverse-engineering orchestration for PE, ELF, and Mach-O binaries with strict artifact dumping to a status folder. Use when requests involve malware sample analysis, strings triage, API/import analysis, behavioral hypothesis generation, component mapping, deep-analysis planning, Binary Ninja MCP usage, Ghidra MCP usage, or role-based orchestration (orchestrator/planner/reporter) with complete intermediate outputs.
Implement or adjust VMark frontend <-> Tauri v2 integration. Use when adding invoke/emit bridges, menu accelerators, or IPC-related UI behaviors.
Apply onepixel repository conventions for env loading, DB backend selection, auth locals, error payloads, and shortcode semantics.
Use when implementing handling AI-specific errors.
This skill should be used when generating detailed experimental procedures from LA-Bench format JSONL files. It orchestrates multiple subagents to parse input data, fetch reference materials, generate procedures, validate outputs, refine results, and produce final formatted outputs. Triggered by requests to process LA-Bench data or generate experimental protocols from data/public_test.jsonl or data/private_test_input.jsonl files.
Specialized Native AOT, trimming, and optimization expert for morphir-dotnet. Expert in single-file trimmed executables, AOT compilation, size optimization, and guiding toward AOT-compatible features. Use when troubleshooting compilation, diagnosing trimming issues, optimizing binary size, implementing reflection workarounds, or maintaining best practices. Triggers include "AOT", "Native AOT", "trimming", "single-file", "size optimization", "reflection error", "IL2026", "IL3050", "PublishAot", "PublishTrimmed", "source generator", "Myriad".
Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.
Autonomous framework engineer — reads VibeHQ post-run analysis, understands root causes of multi-agent coordination failures, then designs and implements real code changes (new features, refactors, architectural improvements) to fix them. Not parameter tuning — actual engineering.
Comprehensive best practices, design patterns, and common pitfalls for ROS2 (Robot Operating System 2) development. Use this skill when building ROS2 nodes, packages, launch files, components, or debugging ROS2 systems. Trigger whenever the user mentions ROS2, colcon, rclpy, rclcpp, DDS, QoS, lifecycle nodes, managed nodes, ROS2 launch, ROS2 parameters, ROS2 actions, nav2, MoveIt2, micro-ROS, or any ROS2-era robotics middleware. Also trigger for ROS2 workspace setup, DDS tuning, intra-process communication, ROS2 security, or deploying ROS2 in production. Also trigger for colcon build issues, ament_cmake, ament_python, CMakeLists.txt for ROS2, package.xml dependencies, rosdep, workspace overlays, custom message generation, or ROS2 build troubleshooting. Covers Humble, Iron, Jazzy, and Rolling distributions.
Best practices, design patterns, and common pitfalls for ROS1 (Robot Operating System 1) development. Use this skill when building ROS1 nodes, packages, launch files, or debugging ROS1 systems. Trigger whenever the user mentions ROS1, catkin, rospy, roscpp, roslaunch, roscore, rostopic, tf, actionlib, message types, services, or any ROS1-era robotics middleware. Also trigger for migrating ROS1 code to ROS2, maintaining legacy ROS1 systems, or building ROS1-ROS2 bridges. Covers catkin workspaces, nodelets, dynamic reconfigure, pluginlib, and the full ROS1 ecosystem.
Best practices for Docker-based ROS2 development including multi-stage Dockerfiles, docker-compose for multi-container robotic systems, DDS discovery across containers, GPU passthrough for perception, and dev-vs-deploy container patterns. Use this skill when containerizing ROS2 workspaces, setting up docker-compose for robot software stacks, debugging DDS communication between containers, configuring NVIDIA Container Toolkit for GPU workloads, forwarding X11/Wayland for rviz2 and GUI tools, or managing USB device passthrough for cameras and serial devices. Trigger whenever the user mentions Docker with ROS2, docker-compose for robots, Dockerfile for colcon workspaces, container networking for DDS, GPU containers for perception, devcontainer for ROS2, multi-stage builds for ROS2, or deploying ROS2 in containers. Also trigger for CI/CD with Docker-based ROS2 builds, CycloneDDS or FastDDS configuration in containers, shared memory in Docker, or X11 forwarding for rviz2. Covers Humble, Iron, Jazzy, and Rolling di
R/D 阶段增强 — augment-context-engine 搜代码 + 读 conventions + ADR 输出
Integrate multiple programming languages using FFI, native bindings, gRPC, or language bridges. Use when combining strengths of different languages or integrating legacy systems.
Convert an existing legacy pypath input module from pypath.inputs into a modern inputs_v2 module. Use for legacy audit, upstream re-checking, semantic redesign, implementation, and parity-oriented smoke testing.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.