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CPU-only motion data processing pipeline for game animation: BVH import, contact detection, root decomposition, motion blending, FABRIK IK. No GPU required.
Passed 6 of 13 test cases with the skill, and 2 of 13 without it.
and 4 more in the full report
7 fixed3 passed either way11 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the file path of the biped walking cycle BVH file in the local ai4animationpy repository clone used for testing processing commands?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies /tmp/ai4animationpy/Demos/BVHLoading/WalkingStickLeft_BR.bvh as the sample file path. | Missed | Passed |
The instructions your model reads when the skill loads.
CPU-only motion data processing pipeline for game animation, inspired by Meta's ai4animationpy framework (CC BY-NC 4.0). All operations run on numpy and scipy with no GPU or PyTorch required.
ai4animationpy's Math/Tensor.py imports torch unconditionally at the top
level, which propagates through every module (Animation, Import, IK, Math).
This means zero ai4animationpy modules are importable without PyTorch installed.
The standalone implementations in scripts/motion-pipeline.py replicate the
key algorithms from their source code using only numpy + scipy.
# Create venv (one-time)
python3 -m venv /home/feedgen/vexjoy-agent/motion-pipeline-env/
# Install CPU-only deps
motion-pipeline-env/bin/pip install numpy scipy pygltflib Pillow
# Verify
motion-pipeline-env/bin/python -c "import numpy; import scipy; import pygltflib; print('OK')"
The venv is gitignored. The skill documents setup; it does not commit the venv.
All commands output JSON to stdout. Errors go to stderr with exit code 1.
Parse a BVH mocap file and print a motion summary.
motion-pipeline-env/bin/python scripts/motion-pipeline.py import-bvh FILE \
[--scale 0.01] # scale cm->m for CMU/Mixamo files
test cases passed, vs 2 / 13 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.