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Migrates PhysX-compatible robot, object, and scene assets to Isaac Lab's Newton backend with MJWarp. Use when handling existing Isaac Lab assets or new multi-physics conversion, per-solver asset configuration, mass or inertia warnings, contact slip and…
Keeps the generated environment browser synchronized with task registrations and preset selectors. Use when adding or renaming an Isaac Lab environment, changing its physics, renderer, or domain presets, or reviewing environment documentation completeness.
Installs Isaac Lab end-to-end with minimal user interaction. Auto-detects the system with read-only checks, picks the right install method (uv checkout, uv-managed environment, Isaac Sim source build, Isaac Lab wheel, or Docker) from the install docs, applies…
Writes and validates Isaac Lab package changelog fragments using the repository fragment format and bump rules. Use when source package changes need release notes, migration guidance, or changelog validation.
Applies Isaac Lab Python conventions. Use when writing or reviewing APIs, config classes, exports, and docstrings.
Checks Isaac Lab contribution readiness. Use when preparing a branch for a commit or PR.
Migrates Isaac Lab 2.x projects to Isaac Lab 3.0 by routing agents through the official migration guide, current source APIs, and focused compatibility checks. Use when users mention Isaac Lab 3.0 migration, 2.x projects, actuator collection changes,…
Use when installing Isaac Lab, verifying setup, debugging launch failures, or diagnosing environment and simulation-performance problems.
Migrates Isaac Gym tasks, assets, vectorized environments, and training workflows to Isaac Lab. Use when porting Isaac Gym environments, legacy Gym tasks, or Isaac Gym reinforcement learning code to Isaac Lab.
Configures and runs Isaac Lab reinforcement learning workflows. Use when selecting RL frameworks, wiring agent configs, launching training, resuming runs, or troubleshooting training setup for Isaac Lab tasks.
Selects and validates Isaac Lab physics and rendering backends. Use when choosing PhysX, Newton, or OvPhysX, adding backend presets, comparing backend behavior, or debugging backend-specific simulation, randomization, sensor, or renderer issues.
Adds and configures Isaac Lab sensors, actuators, and sensor-derived task terms in new or existing tasks. Use when adding cameras, contact sensors, foot or feet contacts, contact history, touchdown timing, air-time rewards, undesired contacts, sensor…
Gates new or changed Isaac Lab tests at write time and audits existing tests for low-value, implementation-coupled, or duplicated coverage, including parametrize matrices and scene builds that repeat one code path. Use when writing, changing, reviewing,…
Converts validated Isaac Lab direct workflow environments into manager-based task configurations. Use when a direct Isaac Lab environment or Isaac Gym migration already resets, steps, and trains, and the user wants reusable observations, rewards, commands,…
Creates and registers Isaac Lab environments, including template-generated external projects and internal tasks. Use when creating new tasks, choosing workflows, or adapting a complete example; use isaaclab-using-sensors-actuators for targeted sensor,…
Implements Isaac Lab domain randomization with event terms and success-driven ADR curricula. Use when randomizing physics or observations, porting reset randomization, or configuring Automatic or Adaptive Domain Randomization (ADR).
Transfers Isaac Lab policies between PhysX and Newton MJWarp in both directions. Use when checking PresetCfg-resolved task and checkpoint compatibility, correcting cross-backend articulation joint and body ordering, handling Franka mimic-joint drive…
Defines and uses Isaac Lab preset configurations for multi-backend tasks. Use when adding PhysX/Newton variants, renderer variants, domain presets, or deciding whether a task needs PresetCfg.
Audits one open GitHub issue against current code to decide close or keep-open, and drafts the closing comment. Use when deciding whether a specific issue is still valid, whether a reported bug was fixed, or what to reply before closing.
Triages many open GitHub issues at once into close/keep-open with drafted closing comments. Use when auditing the whole issue backlog, running a bulk close pass, or reporting how many issues can be retired.
Diagnoses Isaac Lab reinforcement learning behavior, rewards, metrics, checkpoints, and training experiments. Use when reward curves look wrong, policies fail despite training, checkpoints mismatch, or RL changes need focused ablations.
Launches and debugs Isaac Lab multi-GPU and multi-node RL training, including NCCL hangs and collective failures. Use when running train_multigpu, choosing num_gpus, setting up multi-node jobs, or diagnosing distributed training that hangs, deadlocks, or…
Diagnoses and validates Isaac Lab robot initial joint poses from semantic or visual requests. Use when a robot starts with the wrong wrist, gripper, tool, camera, or end-effector orientation and the fix should be measured from articulation state instead of…
Plans Isaac Lab manipulation tasks through phase gates for reaching, grasping, lifting, placing, insertion, and contact-rich workflows. Use when building or debugging manipulation environments where scene setup, reset geometry, action contracts, rewards, and…
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