What problem does it solve?
Developers approaching the Isaac for Healthcare (i4h) agentic workflow often don't know which environments, robots, and policies are supported or which pipeline stage to start with. This Skill provides an orientation layer that lists supported envs and routes users to the correct per-stage skill.
Core Features & Use Cases
- Environment Discovery: Lists supported simulation environments (e.g., scissor_pick_and_place, ultrasound_liver_scan) with their robots and policy stacks via
run.sh --list-envs, with a fallback table.
- Pipeline Routing: Maps the
workflows/agentic/ subprojects (arena, policy, dataset, mimic, annotator, cosmos) and directs users to the right stage skill such as setup, teleop, finetune, or validate.
- Use Case: A robotics engineer new to i4h asks what the workflow supports; the agent resolves the repo, lists envs built on IsaacLab-Arena with GR00T/openpi policies, and recommends the setup skill as the next step.
Quick Start
Ask your agent what the i4h workflow includes and which environments and skills are available to get started.