300 skills (repositories by VectorSpaceLab) · sorted by popularity
Use Atomic Agents to build schema-driven agents, integrate tools and MCP connectors, adapt example applications, and maintain the monorepo safely.
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Use ASAP to train humanoid policies, retarget SMPL motions, and run sim2sim or sim2real deployment workflows for humanoidverse-based robots.
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Route AutoGPT Platform self-hosting, backend, frontend, and legacy Classic agent work to focused operating guidance.
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Routes BasicTS time-series training, dataset, model, and pipeline workflows through focused sub-skills.
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Route BiRefNet image segmentation, matting, inference, configuration, training, evaluation, and model-export workflows.
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Routes Big Sleep text-to-image workflows, CUDA setup checks, prompt controls, and Python API usage for the `dream` CLI and `Imagine` API.
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Operate ASRT SpeechRecognition Chinese ASR data, acoustic models, pinyin language model, and serving clients.
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Route Boltz package tasks for biomolecular structure and affinity prediction, data preparation, training, and evaluation workflows.
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Use bm25s for sparse lexical retrieval: tokenize text, build and query BM25 indexes, persist or memory-map them, run the high-level or bm25 CLI workflows, and diagnose optional acceleration and integrations.
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Route BlenderGIS add-on tasks for georeferencing, vector and OSM data, raster/DEM basemaps, terrain analysis, and geocamera rendering in Blender.
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Use AlpaSim repository guidance for autonomous-driving simulation setup, Hydra wizard runs, runtime services, ego drivers and plugins, ASL evaluation, controller/physics/traffic components, gRPC contracts, and operational troubleshooting.
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Router for Alpamayo R1 multimodal driving inference and trajectory sampling.
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Routes Alibi users to the right explanation, confidence, prototype, or optional-backend workflow and points them to the bundled helpers needed to run it.
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Build, debug, serialize, and integrate Albumentations 2.x augmentation pipelines for images, masks, bboxes, keypoints, volumes, and PyTorch-style datasets.
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Use AiZynthFinder for retrosynthetic planning, configuration, route analysis, custom extensions, and focused development workflows.
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Routes AIX360 explainability tasks across local black-box attribution, counterfactuals and certification, interpretable models, time-series explanations, datasets, and explanation-quality metrics.
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Route AIMET install, PyTorch/ONNX quantization, GenAILab, model access, cluster/Pod, Qualcomm SDK, optimization, export, and repository tasks to focused operating guidance.
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Use Aim for experiment tracking SDK instrumentation, local/remote run storage, CLI/UI/server workflows, storage maintenance, and ML framework logging integrations.
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Use IBM AI Fairness 360 for tabular fairness datasets, metrics, bias mitigation algorithms, sklearn-compatible workflows, subgroup detectors, and explainers.
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Route AI-Optimizer reinforcement-learning collection tasks across model-based RL, easy-MARL, offline RL, safe command builders, and repository limitations.
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Operate the ai-data-science-team package for AI-assisted data loading, EDA, pandas transformations, SQL analysis, H2O/MLflow modeling, multi-agent teams, and Streamlit app workflows.
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Use AgileRL for reinforcement learning workflows: classical RL training, evolutionary HPO, evolvable networks, multi-agent PettingZoo training, offline/bandit data, and LLM fine-tuning.
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AgentScope repo skill for building agents, provider connectors, RAG and memory workflows, service deployments, and local or sandboxed workspaces.
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Routes Agent Starter Pack tasks to the right workflow for creating, maintaining, and deploying generated agent projects.
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