Files
workouts/Exercise Library
rzen 5e4980f0d7 Give the figure real girdles, fix orbit pinning, add roller pads
Shoulder and pelvis widths grow to human-like proportions per profile
(shoulders wider than hips for neutral/male, reversed for female) and
are now drawn — bars across the attach points that read near-full-width
face-on and as a shoulder/hip nub in profile, so limbs visibly hang
from a torso instead of a point. Orbiting no longer re-solves IK pins
in the rotated view (pins are canvas targets in the authored camera):
the pose resolves first and the posed body rotates, which fixes hands
sticking to stale screen points mid-orbit (Cat-Cow, Bird Dog, Plank).
Leg Extension and Leg Curl swap their ankle bars for a machine roller
disc — a new `roller` prop riding the shin's press side. Fixtures
regenerated; both renderers updated in lockstep.

Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
2026-07-06 21:00:03 -04:00
..

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-level body.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), and visual.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.