add-task-env

What problem does it solve?

This Skill helps you quickly add a new task environment to EmbodiChain without manually figuring out the required file layout, registration hooks, and testing scaffolds.

Core Features & Use Cases

• Task categorization: Choose the right category mapping to EmbodiChain’s task folder structure (tableware, rl, special).
• Environment scaffolding: Generate a task Python module with the correct class shape, @register_env decorator usage, and extension points for expert demos (create_demo_action_list) or RL tasks (get_reward, compute_task_state, check_truncated).
• System integration: Update tasks/__init__.py exports so the new environment is discoverable by the framework.
• Quality gate: Add a test stub and run formatting with black to match repository conventions.

Quick Start

Use the add-task-env skill to scaffold a new task environment named pick_place for the category rl with Gym ID PickPlace-v1, then add it to tasks/init.py and create the corresponding tests stub.