rzen
b8c3b326c1
Hollow Body Hold, Leg Raises, and Reverse Crunch hid the far arm because it was never authored - a leftover from the planar rig. Both arms are now posed, so the far arm reads as the standard light member behind the near one, the same visual language every other exercise uses, and the figures stay truthful from any viewpoint. With no remaining users, the hide mechanism is deleted from both renderers, the motion schema, and the docs. Claude-Session: https://claude.ai/code/session_01HJDQQDA9QdP8zByg43H5v3
Exercise Library
Reference material for exercises the app knows about — one folder per exercise, named exactly as the exercise appears in the app.
Each entry contains:
info.md— the details, always in this order: a one-line summary, quick facts (Category, Type, Targets, Prescription), then Setup, Execution, Cues, Common Mistakes, and Progression (easier → harder — get strong by making the move harder, not by endless reps).motion.json— the exercise scripted as key frames of joint angles on the shared rig (proportions in the library-levelbody.json), with IK pins for planted hands/feet and tween timings. This is the canonical source for all visuals and for the in-app animation planned for the lower half of the exercise screen.- Generated from it by
render.py(never hand-edited):frames/frame-N.svg(one per key frame),preview.gif(the tweened loop), andvisual.svg(the primary frame, for static contexts).
The rig and the visual language — right limbs dark / left limbs light with an
embedded R/L legend, nose tick for facing, teal on the working parts, timing
that encodes tempo, plus figure profiles, flipping, and theming — are defined
in SYSTEM.md, along with the motion.json schema and rendering
instructions.
The library lives at the repo root, deliberately outside the app targets' source folders, and is not bundled into the app yet — the in-app presentation format is still being worked out.