Build or repair one self-evaluating MOOS-IvP mission by adding an evaluation layer to an ordinary mission: headless startup, pMissionEval grading, results.txt, uMayFinish/xlaunch completion, zlaunch automation, scoped teardown, and single-scenario validation.
Build or repair multi-case MOOS-IvP test harnesses around self-evaluating stem missions: case matrices, per-case mission copies, result aggregation, serial or rolling parallel execution, port isolation, scoped teardown, and nspatch variants. Use moos-ivp-eval-mission-builder for stem missions.
Build or repair the ordinary mission layer for one standalone MOOS-IvP mission: launchers, meta files, helm layout, communities, ports, nsplug targets, viewer setup, and README updates. For self-evaluating missions, use moos-ivp-eval-mission-builder as the primary skill.
Create and verify MOOS-IvP TIFF background maps with the moos-map application. Use when a user wants to select a map region visually in the local GUI; build directly from two geographic corners through the CLI; choose imagery, zoom, mission origin, or output location; recreate a map from existing bounds; or inspect and verify generated .tif, .info, and .moos files.
Install or validate upstream MOOS-IvP: locate or clone moos-ivp/moos-ivp, follow the platform setup README, create env.sh, and verify the checkout for MOOS-IvP development.
Create a user-owned MOOS-IvP extension repository from moos-ivp-extend: clone/customize the template, confirm the local MOOS-IvP dependency, configure PATH and IVP_BEHAVIOR_DIRS, initialize independent Git, and validate the baseline build before app, behavior, or mission work.
Build or modify user-owned IvP helm behaviors outside the core MOOS-IvP source tree: BHV_* C++ classes, IvPBehavior lifecycle methods, shared behavior libraries, IVP_BEHAVIOR_DIRS wiring, and behavior-specific configuration parameters.
Analyze existing MOOS .alog files to reconstruct missions, debug incidents, inspect helm context, or extract timestamped evidence with aloggrep, aloghelm, alogscan, and compact variable discovery.