DART Architecture: the DART 7 multi-physics, multi-solver, multi-backend simulation pipeline, the living architecture map that draws it, and where each abstraction is owned
dartsim/dart
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Showing 40 of 45 collected skills.
DART Docs Update: update docs or AI instruction visibility without code changes, or audit the docs tree for stale, duplicated, and orphaned content
DART Architecture: the DART 7 multi-physics, multi-solver, multi-backend simulation pipeline, the living architecture map that draws it, and where each abstraction is owned
DART Manage PR: manage an open DART pull request through CI, review, merge, and cleanup
DART Model Upgrade: audit and improve DART AI harness content and structure for model or coding-agent upgrades, including named models, reasoning modes, migrations, compatibility reviews, and visual simulation-debugging evaluations
DART PR: create a branch, commit, push, and open a DART pull request
DART Review PR: review a PR or address review feedback
DART Ultrawork: kick off a large or autonomous DART task with project-home docs, an optional decision interview, and orchestrated execution
DART Resume: continue work from a previous session
DART Changelog: decide, draft, finalize, or audit DART changelog entries
DART Contribute: branching, PRs, review workflow, and dual-PR bugfixes
DART Fix CI: debug and fix failing CI checks on any base branch
DART Fix Issue: resolve a GitHub issue with a fix and regression test
DART New Task: start a feature, bugfix, refactor, docs, build, or test task
DART Next: choose the next bounded DART task from plans, issues, and CI, then route it
DART Contribute: branching, PRs, review workflow, and dual-PR bugfixes
DART Plan Update: discuss or update DART living plans
DART Analyze: analyze repository evidence without editing
DART Audit Agent Compliance: audit and fix gaps when agents miss or cannot discover documented rules
DART Backport PR: backport a merged main PR to a release branch
DART Benchmark Packet: author or refresh a benchmark evidence packet for an owning plan
DART Branch Cleanup: analyze or clean stale repository branches
DART Close Issue: draft and optionally post a GitHub issue closing message
DART Deps: triage and shepherd dependency and bot pull requests
DART Downstream Fix: fix a DART bug reported through gz-physics or Gazebo
DART Execute Packet: select and execute one orchestrator-authored work packet from a numbered plan
DART Mechanical Refactor: perform a behavior-preserving mechanical refactor
DART Release Merge Main: merge the active release branch back into main
DART Release Packaging: create a release version bump and changelog PR
DART Retro: improve the AI harness from successful or unsatisfactory task outcomes
DART Triage Issue: triage a GitHub issue and recommend next action
DART Build: CMake, pixi, dependencies, and build troubleshooting
DART CI: GitHub Actions, cache debugging, and platform-specific failures
DART Python: dartpy bindings, nanobind, wheels, and API patterns
DART Build: CMake, pixi, dependencies, and build troubleshooting
DART CI: GitHub Actions, cache debugging, and platform-specific failures
DART Python: dartpy bindings, nanobind, wheels, and API patterns
DART Verify Sim: text-first and visual checks for 3D scenes and physics (metrics, scene dump, trajectories, headless render, image verdict/golden)
DART Verify Sim: text-first and visual checks for 3D scenes and physics (metrics, scene dump, trajectories, headless render, image verdict/golden)
DART IO: URDF, SDF, MJCF parsers, and dart::io loading