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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.
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.
npx skills add notque/vexjoy-agent --skill motion-pipelineHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.