machine-learning
538
grasp-planning-skill
Grasp planning and execution for robotic manipulation tasks
a5c-ai
data-ai
sorting
stars
current ordering strategy
query
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machine-learning
538
nvidia-isaac-sim-skill
Specialized skill for NVIDIA Isaac Sim photorealistic simulation and synthetic data generation
a5c-ai
data-ai
machine-learning
538
kinematics-dynamics-skill
Robot kinematics and dynamics computation including forward/inverse kinematics and dynamics
a5c-ai
data-ai
machine-learning
538
motion-planning-skill
Sampling-based and optimization-based motion planning algorithms
a5c-ai
data-ai
machine-learning
538
mpc-controller-skill
Expert skill for Model Predictive Control implementation and tuning
a5c-ai
data-ai
machine-learning
538
multi-robot-coordination-skill
Coordination and task allocation for multi-robot systems and fleets
a5c-ai
data-ai
machine-learning
538
nav2-navigation-skill
Specialized skill for ROS2 Nav2 navigation stack configuration and behavior trees
a5c-ai
data-ai
machine-learning
538
object-detection-segmentation-skill
Deep learning based object detection and segmentation for robotics applications
a5c-ai
data-ai
machine-learning
538
point-cloud-processing-skill
Specialized skill for 3D point cloud processing and analysis using PCL and Open3D
a5c-ai
data-ai
machine-learning
538
reinforcement-learning-skill
RL training for robot control using simulation with sim-to-real transfer
a5c-ai
data-ai
machine-learning
538
rviz-visualization-skill
RViz configuration and custom visualization for robot development and debugging
a5c-ai
data-ai
machine-learning
538
safety-system-skill
Robot safety system design and validation for industrial and collaborative robots
a5c-ai
data-ai
machine-learning
538
sensor-fusion
Expert skill for multi-sensor fusion and state estimation using Kalman filtering. Implement EKF/UKF, configure robot_localization, fuse IMU, GPS, odometry, and visual sensors for robust localization.
a5c-ai
data-ai
machine-learning
538
slam-algorithms
Expert skill for SLAM algorithm selection, configuration, and tuning. Configure visual SLAM (ORB-SLAM3, RTAB-Map), LiDAR SLAM (Cartographer, LIO-SAM), tune parameters, evaluate accuracy, and optimize for real-time performance.
a5c-ai
data-ai
machine-learning
538
tf2-transforms-skill
Expert skill for ROS tf2 coordinate frame management and transforms
a5c-ai
data-ai
machine-learning
538
urdf-sdf-model
Expert skill for robot model creation and validation in URDF and SDF formats. Generate URDF files with proper link-joint hierarchy, create Xacro macros, calculate inertial properties, configure joint types, and validate models.
a5c-ai
data-ai
machine-learning
538
aiml-security
AI/ML model security testing and adversarial research capabilities. Generate adversarial examples, test model robustness, perform model extraction attacks, test for data poisoning, analyze model fairness, and support ART framework integration.
a5c-ai
data-ai
machine-learning
538
fuzzing-operations-skill
Comprehensive fuzzing operations with AFL++, libFuzzer, and OSS-Fuzz integration
a5c-ai
data-ai
machine-learning
538
threat-modeler
Generate threat models using STRIDE, PASTA, or VAST methodologies
a5c-ai
data-ai
machine-learning
537
openjudge
Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.
agentscope-ai
data-ai
machine-learning
537
docker-model-runner
Skills for using Docker Model Runner to run local LLM inference
docker
data-ai
llm-ai
535
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
skillcreatorai
data-ai
machine-learning
535
evolution-engine
Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or reviewing evolution logs. Triggers on "evolve", "discover patterns", "backtest", "evolution", "strategy generation", "candidate strategy".
mnemox-ai
data-ai