Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/download_dataset.sh. Pulls task-suite data (instruction / manipulation / sim2real) from the agibot_world/GenieSim3.0-Dataset repo into a local dir. Trigger: When the user asks to "下载训练数据", "下载数据集", "拉取 lerobot 数据", "download training data", "download the dataset", "get the lerobot v2.1 data", "download task suite", mentions download_dataset.sh, ModelScope GenieSim3.0-Dataset, or needs training data to train a challenge model.
Launch a data_collection automated trajectory-collection task on a GPU host using the `geniesim autocollect run` CLI verb (which wraps scripts/run_data_collection.sh: docker run -d + in-container server+client). Trigger: when the user asks to "采集数据", "跑数据采集", "run data collection", "collect a task", "生产轨迹", "launch a tasks/geniesim_2025/<...>.json", or wants to produce agibot-format episodes from a data_collection task template.
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's local checkpoints path, install deps, and start the inference agent. Trigger: When the user asks to "拉取 baseline 模型", "下载推理代码/权重", "搭一个 baseline", "clone the inference repo", "download ckpts", "set up the baseline model", "跑起来 baseline", "provision the baseline", or hands over a repo URL to stand up an inference server. Load even on light phrasings: "部署一下 demo", "部署 demo", "跑个 demo", "deploy a/the demo", "下载一下 baseline", "下载 baseline", "拉一下 baseline".
Entry point for the Simulation Challenge skill set. Use when the user mentions the challenge, leaderboard, submitting a model, or any of the /api/challenge/* endpoints — this skill picks the right downstream skill for them.
Reference for the Simulation Challenge inference wire protocol — the exact obs (input) and action (output) message format exchanged between the gateway/genie-sim simulator and the contestant's inference agent over the reverse WebSocket tunnel. Covers the JSON-RPC envelope, image encoding, per-board state/action joint layout, the plain-msgpack response caveat, and the authoritative source files. Trigger: When the user asks about "推理接口协议", "inference protocol", "obs/action format", "观测/动作格式", "网关下发什么", "agent 返回什么", "what does the gateway send", "result envelope", "state layout", "动作怎么拆", or needs to implement/debug the obs→model→action adapter in a tunnel agent.
Use when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGE_TOKEN), or wants to inspect the current logged-in user. Trigger words include "log in", "token", "401", "current user", "name", "refresh".
Use to track a Simulation Challenge job's progress — list jobs, fetch a job's per-task scores, or pull execution logs when a job ended in Failed. Read-only; safe to run without confirmation.
Use to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge. Read-only; safe to run without confirmation.