embedding-engine

Embedding backends (InsightFace/PyTorch+ONNXRuntime vs TensorRT). Use when optimizing embedding throughput or debugging drift/fallbacks.

by therealityreport· Repository·development

embedding

engine

Also installable via skills CLI

npx skills add therealityreport/screenalytics/.claude/skills/embedding-engine

Source

Path:.claude/skills/embedding-engine(main)

Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.

This skill should be used when the user asks to "update documentation for my changes", "check docs for this PR", "what docs need u...

Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTor...