Perform task-specific real YAM manipulation with native CAP tools. Use for solving or turning a physical Rubik's Cube, bottle-cap removal and pouring, pill insertion and bottle closure, or inverted cup nesting.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Follow AGENTS.md and the loaded CAP operational skills. Read the guide for the requested task:
Read the cube task context for the requested outcome and the recipe for a new scene.
Other task recipes (read only the one matching the operator's task):
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Localize objects and compose low-level CAP MCP actions using observations, Cartesian or synchronized motion, joint targets, and single-arm gripper control.
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Run the CaP Fix Loop + Evolutionary Search experiment on a user-supplied list of low-performing benchmark tasks: iterative K=8 candidate search on development seeds 51–65, validation selection, and final held-out evaluation on seeds 1–50.
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Run the baseline-free CaP iterative debugging (fix loop) pipeline on a user-supplied list of benchmark tasks: inspect one initial observed scene per task, generate task-level code, debug failures on development seeds using recorded run artifacts, validate on the held-out partition, grade the skill library against what actually worked, and promote only those patterns a verifier could reproduce the fix from.
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Block-by-block fix loop on BEHAVIOR-1K (R1 Pro, OmniGibson on Isaac Sim). The policy is grown one code block at a time against what the robot actually did, and what carries across seeds is a skill library, not a program. Use for the two R1 Pro pickup tasks; Stage 1 learns on seeds 26-35, Stage 2 evaluates on 1-25 with a frozen library.
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