Add EmbodiChain functors for observations, rewards, events, actions, datasets, or randomizations.
npx skills add https://github.com/DexForce/EmbodiChain --skill add-functor
Please help me install this Agent Skill. Skill: add-functor Source: https://github.com/DexForce/EmbodiChain/tree/main/skills/add-functor Command: npx skills add https://github.com/DexForce/EmbodiChain --skill add-functor
It solves the problem of adding new EmbodiChain environment logic—such as observations, rewards, events, actions, datasets, or randomizations—without breaking the Functor/FunctorCfg architecture.
__all__, and create a test using mocks for deterministic validation.Ask to add a new reward functor named "my_reward" to RewardManager, registered via RewardCfg using function-style, and include a test plan for validating the expected (num_envs,) output shape.
High-intent search queries and answers about installing and using this skill.
To add an observation functor, you select the correct manager, scaffold it as a stateless function or stateful class, register it via FunctorCfg, and place it in the corresponding module file.
The best way to implement reward shaping components is by scaffolding a new reward functor registered via RewardCfg, ensuring it adheres to manager-specific signatures and outputs the expected tensor shapes.
You create randomizations for Sim2Real by adding a randomization functor that perturbs physics, visual, spatial, or geometry properties, registering it correctly to maintain the Functor architecture.
Use function-style functors for stateless environment behavior and class-style functors for stateful logic, ensuring both follow the required call signatures for their specific manager integration.
You test new environment functors by creating test scaffolding using mocks for deterministic validation, ensuring the functor adheres to manager-specific call semantics and returns correct tensor shapes.
Yes, you can introduce event handlers by adding a new event functor to the correct manager, updating the module exports, and validating its call semantics and tensor shapes with mock tests.
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