Skills

Cap Tool Usage

Localize objects and compose low-level CAP MCP actions using observations, Cartesian or...

Install

npx skills add NVlabs/ASPIRE --skill cap-tool-usage -g -a claude-code -y
Repository
NVlabs/ASPIRE925
Category
AI and agents
Updated
20d ago
License
Apache-2.0
Context cost
Mediumabout 1,550 tokens
Runs scripts
No, instructions only

What it does

Localize objects and compose low-level CAP MCP actions using observations, Cartesian or synchronized motion, joint targets, and single-arm gripper control.

CAP Tool Usage

Follow AGENTS.md. Use the native mcp__cap__* interface attached to the ASPIRE CAP session. Keep that session as the only environment and camera owner; do not create another robot or camera runtime during a physical task.

For a plainly short-horizon task, execute the shortest dependency-ordered MCP sequence immediately. Skip source inspection, a full planning report, and redundant checks.

ASPIRE action contract

Native MCP schemas are authoritative. The low-level action tools are:

ToolTarget
cap_move_to_posetarget_pose, with arm="left" or "right"
cap_move_synchronizedtargets={"left": pose, "right": pose} for jointly planned motion
cap_move_to_jointstarget containing six joint angles in radians, with arm
cap_set_gripperposition from 0 closed to 1 open, with arm

An absolute pose includes position: [x, y, z] in metres, frame, and exactly one of rpy_deg: [roll, pitch, yaw] or quaternion_wxyz: [w, x, y, z]. RPY uses degrees and fixed-axis XYZ: R = Rz(yaw) @ Ry(pitch) @ Rx(roll) in the declared frame. Returned poses use WXYZ quaternions. Read measured arm poses with cap_get_robot_state.

For Cartesian or synchronized pose motion with cuRobo configured, select strategy={"ik_solver":"mink","trajectory_planner":"curobo"}. Never disable collision checking to force a failed plan through. Do not use direct joint motion as implicit IK or to bypass a failed collision-aware Cartesian plan.

For a layer turn, derive successive absolute pose targets from the measured cube axis and EEF pose. An offset EEF needs both its position and orientation rotated about that axis. Verify contact and actual sticker motion from returned evidence. Use separate cap_set_gripper calls for intended grip changes. Prefer synchronized motion only when both targets are grounded and neither depends on the other's feedback.

Object-approach tool chain

Read the whole SKILL.md on GitHub

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