About
The embedding-engine skill enables switching between different embedding backends (PyTorch/InsightFace vs. TensorRT) to optimize inference throughput. Use it when you need to debug embedding drift between frameworks or build cached TensorRT engines for GPU-accelerated performance. It provides sub-agents for reference implementations and production-optimized inference.
Quick Install
Claude Code
Recommendednpx skills add mattnigh/skills_collection -a claude-code/plugin add https://github.com/mattnigh/skills_collectiongit clone https://github.com/mattnigh/skills_collection.git ~/.claude/skills/embedding-engineCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the embedding-engine skill?
embedding-engine is a Claude Skill by mattnigh. Skills package instructions and resources that Claude loads on demand, so Claude can perform embedding-engine-related tasks without extra prompting.
How do I install embedding-engine?
Use the install commands on this page: add embedding-engine to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does embedding-engine belong to?
embedding-engine is in the Testing category, tagged general.
Is embedding-engine free to use?
Yes. embedding-engine is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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