Claude Skills by VectorSpaceLab

"Guide agents through AgiBot X1 humanoid reinforcement-learning

"Route AgiBot X1 DH checkpoint-to-JIT export, JIT-to-ONNX

"Prepare, locate, and safely route interactive Isaac Gym playback

"Route safe, source-backed MuJoCo sim2sim validation for the AgiBot

"Route X1 DH stand PPO training, configuration inspection,

"Use AgileRL for reinforcement learning workflows: classical RL

"Use AgileRL evolvable modules, networks, architecture configs,

"Use AgileRL evolutionary HPO, tournament selection, mutation

"Use AgileRL LLM fine-tuning and post-training workflows for GRPO,

"Use AgileRL multi-agent PettingZoo workflows, MADDPG/MATD3/IPPO,

"Use AgileRL offline RL datasets, replay/data conversion, CQL/ILQL,

"Use AgileRL classical single-agent training workflows for

"Operate the Agriculture_KnowledgeGraph agricultural Neo4j graph,

"Operate Agriculture_KnowledgeGraph crawler and Wikidata/weather

"Use THULAC, the agricultural label taxonomy, and the legacy

"Operate the Agriculture KnowledgeGraph Neo4j graph import/query,

"Prepare relation extraction datasets and inspect the TensorFlow

"Operate the Django 1.11 demo application, its routes, forms, and

"Operate the ai-data-science-team package for AI-assisted data

"Use ai-data-science-team data/file loading helpers, direct

"Use ai-data-science-team single-agent pandas code generators for

"Operate ai-data-science-team H2O AutoML, deterministic model

"Compose ai-data-science-team multi-agent workflows and understand

"Operate ai-data-science-team SQL database querying, metadata

"Route AI-Optimizer reinforcement-learning collection tasks across

"Guides AI-Optimizer model-based RL baselines, world-model

"Use AI-Optimizer easy-MARL tutorial code for multi-agent RL

"Use AI-Optimizer's offline RL algorithms, d3rlpy-derived APIs,

"Use IBM AI Fairness 360 for tabular fairness datasets, metrics,

"Use AIF360 legacy dataset containers and fairness metric classes

"Use AIF360 MDSS and FACTS subgroup detectors plus metric text and

"Choose and run AIF360 legacy bias mitigation algorithms with

"Use AIF360's preferred sklearn-compatible pandas API for datasets,

"Use Aim for experiment tracking SDK instrumentation, local/remote

"Operate Aim CLI, local UI, remote tracking services, notebook UI,

"Use Aim framework callback integrations, direct tracking

"Use Aim's Python SDK to create local repositories and runs, track

"Route AIMET install, PyTorch/ONNX quantization, GenAILab, model

"Operate AIMET cluster and Pod workflows for GPU development,

"Run and configure AIMET GenAILab LLM/VLM quantization scorecards

"Install, build, repair, and validate AIMET package environments

"Handle AIMET model downloads, Hugging Face tokens, GitHub Actions

"Use AIMET ONNX for QuantizationSimModel calibration, provider

"Use AIMET analysis, mixed precision, compression, debugging,

"Prepare AIMET exports for Qualcomm AI Hub, QAIRT/QNN conversion,

"Use AIMET Torch for model preparation, QuantizationSimModel

"Route Airweave tasks to the most specific sub-skill:

"Operates Airweave's backend API surface for search tiers,

"Operates the embeddable Connect widget iframe, client-side session

"Operates Airweave's React dashboard: auth, organization context,