9 tagged world models, measured the same way as everything else here.
Browse within: machine-learning 8jepa 7physical-ai 7robotics 7
Skill Claude CodeCodex
Use for LeWorldModel, GR00T, LeRobot, PushT robotics showcase, real-checkpoint smoke scripts, checkpoint building, and host-owned optional runtime dependencies. Keeps real-runtime validation explicit without adding heavy ML/robotics packages or artifacts to the base project.
Skill Claude CodeCodex
Use for WorldForge README, docs, changelog, generated provider docs, MkDocs navigation, version/release metadata, public positioning, and release or publish readiness checks. Keeps public surfaces synchronized without hype or generated-doc drift.
Skill Claude CodeCodex
Use when selecting, running, or fixing WorldForge validation: pytest, coverage, ruff, generated provider docs, MkDocs strict build, package contract, CI failures, and release gates. Produces the smallest credible command set first, then escalates to full validation when public behavior changes.
Skill Claude CodeCodex
Extend this cloned Helios example app — add new controls, scenes, knobs, image flows, or features on top of @reactor-models/helios (pinned to ^0.9.0) without breaking the patterns the existing code already uses. Covers the SDK's connection / events / messages model, the phase-based UI architecture, the state snapshot…
ky-ji/xie-saining-research-taste-skills
Skill Claude CodeCodex
Use when evaluating AI/ML research ideas, choosing research directions, framing problems, planning experiments, improving research taste or paper storytelling, resisting trend-following, or applying Saining Xie's interview-derived views on visual intelligence, world models, research culture, and scientific taste.