A modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labTracking Any Point (TAP)
$ npx skills add google-deepmind/tapnetA flexible, high-performance 3D simulator for Embodied AI research.
$ npx skills add facebookresearch/habitat-simFast symbolic computation, code generation, and nonlinear optimization for robotics
$ npx skills add symforce-org/symforceUnrealCV: Connecting Computer Vision to Unreal Engine
$ npx skills add unrealcv/unrealcvOpen Machine Learning course
$ npx skills add girafe-ai/ml-course📚 Jupyter notebook tutorials for OpenVINO™
$ npx skills add openvinotoolkit/openvino_notebooksOfficial Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
$ npx skills add digantamisra98/Mish[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
$ npx skills add rmurai0610/MASt3R-SLAMcomputer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
$ npx skills add enpeizhao/CVprojectsObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
$ npx skills add google-research-datasets/ObjectronGibson Environments: Real-World Perception for Embodied Agents
$ npx skills add StanfordVL/GibsonEnvA collection of scientific methods, processes, algorithms, and systems to build stories & models.
$ npx skills add hemansnation/AI-Engineer-Headquartersrepository to research & share the machine learning articles
$ npx skills add arXivTimes/arXivTimesA MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
$ npx skills add PaulDanielML/MuJoCo_RL_UR5📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
$ npx skills add eugeneyan/ml-surveysHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep SimplerEnv if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.