AI-made shark rig with procedural swim and bite animation

GOAL: PROMPT You’ll animate a rigged shark from Meshy/Tripo in Blender. MOTION: Generate and export headlessly with Python scripts so every run is reproducible; use Blender MCP only for inspecting the scene. Never overwrite the original GLB: work on copies, and put each new version in its own folder. Stage 1: Fix the rig before animating Auto-rigs usually bake a bent tail into the rest pose. Build a straight neutral pose by straightening the mesh, not the bones: rotate the tail joints until the fin lines up with the tail stalk. If you straighten by bones, the mesh stays bent and the tail beats asymmetrically. Clean the weights in local zones only, and measure deformation before and after. Check that: the nose and upper teeth have no lower-jaw weight; the dorsal and pelvic fins are weighted to a single body bone; noisy weights at the fin roots are smoothed. Reweight the lower jaw to about 1.0 along the mouth line. Otherwise it bends instead of rotating when the mouth opens. Map the bone chain and check the hierarchy. The pectoral fins are often children of the head bone, so any head rotation moves them too. Stage 2: Procedural swim and idle (no video) Make a travelling wave down the spine: yaw = A(x) · sin(2πt/T − 2πx/λ), with λ ≈ body length. Use a tuna-like envelope: the front stays nearly rigid (<1–3°) and the motion grows toward the tail (~30° at the fin). Turn the head slightly in counter-phase. Swim: 24 frames. Idle: about 60 frames at ~0.45× amplitude. The last key must equal the first, so the loop has a zero seam. Check the result with real numbers: tail sweep about 0.15–0.2 of body length, sweep centered around 0, and no mesh edges overstretched. Stage 3: Reference frame for the video model Render a 1920×1080 split screen: side view on the left, top view on the right, both orthographic at the same scale, on a flat green background. Color-code the parts on the mesh: left fin blue, right fin yellow; tail lobe magenta; lower jaw orange; body desaturated gray. Save the cameras, the world-to-pixel formulas and the start pose (frame 1 of swim) to JSON. Write a Seedance/Omni prompt: static camera, shark held in place, both panels in sync. Timing: calm swim, then lunge and jaw open, bite, recover, back to swimming. Forbid water, bubbles, blood and prey. Stage 4: Check the generated video Compare frame 0 with the start frame. The model usually zooms and shifts the image slightly, so fit one global 2D zoom + offset and apply it before fitting. Don’t move the cameras. Check that: the colors stay stable on every frame; nothing leaves the frame; the two panels stay consistent with each other. Expect artifacts: the far fin rendered gray, a “forked” tail seen from above, and a red mouth interior. Stage 5: Fit the bite Fit the rig frame by frame in world-space parameters, so that: the model’s points fall inside the silhouette; the model covers the silhouette; the colored zones match in both views. Fit in stages per frame: body, then head + jaw, then fins. Express fi