Commit Graph
4 Commits
Author SHA1 Message Date
rzen 669ecf1259 Surface machine settings in the exercise library and refine machine rigs
Library detail screens now lead with the user's recorded machine settings
(per-split when they disagree, empty-state card for machine-based entries)
and append the weight progression chart. Starter seeds mark machine
exercises with an empty machineSettings list so the settings UI lights up
before first use. The figure rig gains a frontal body profile for face-on
machines, props that can ride mid joints (knees/elbows), and an
alternating four-frame Bird Dog loop.

Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
2026-07-06 18:35:15 -04:00
rzen fce8fa4c17 Author the machine exercise circuit with props and corrected hip machine motions
Fourteen Planet Fitness machine exercises join the rig library, each with
authored motion, info page, and schematic equipment via the new props layer
(scene shapes, cables, bars, pads) rendered in lockstep by render.py and the
in-app figure renderer. Abductor and Adductor are authored face-on with the
real seated machine motion — knees-bent legs swinging apart/together against
knee pads — replacing the earlier middle-split depiction. The watch target
now bundles the figure renderer and motion rigs too.

Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
2026-07-06 16:29:31 -04:00
rzen 888852cc2e Replace the YAML exercise catalogs with the motion-rig exercise library
The exercise picker now lists the bundled exercise library — the
motion-rig exercises exported from Exercise Library/ — instead of the
two *.exercises.yaml starter catalogs. ExerciseListLoader and the Yams
dependency are removed; ExerciseMotionLibrary gains exerciseNames, the
bundle enumeration the picker reads.
2026-07-06 12:27:44 -04:00
rzen 7274f155e9 Add the exercise reference library, animated exercise figures, and exercise categories
Exercise Library/ holds per-exercise reference docs (setup, cues,
mistakes, progressions) with SVG visuals and a Python-rendered motion
pipeline; Workouts/ExerciseFigure renders the bundled *.motion.json
rigs as animated stick figures on the exercise screen. Exercises gain
a warm-up/main-circuit category, timed exercises display hold time via
planSummary, and a completed exercise reopens to a check screen instead
of its timers.
2026-07-06 01:15:52 -04:00