ondevice-ml
Core ML integration + on-device pipelines (NLP/Vision/SoundAnalysis) with privacy/compliance guardrails.
npx skills add majiayu000/claude-skill-registry --skill ondevice-ml-maduixa-glasstic --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Load: - @docs/ondevice-ml/README.md - @docs/ondevice-ml/coreml.md - @docs/ondevice-ml/deployment.md - @docs/ondevice-ml/privacy.md Output: - Model I/O contract checklist - Swift inference pipeline (caching, threading, error handling) - Optional: Vision/NLP/SoundAnalysis scaffolds - Test + validation plan
What does the ondevice-ml skill do?
Core ML integration + on-device pipelines (NLP/Vision/SoundAnalysis) with privacy/compliance guardrails.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ondevice-ml-maduixa-glasstic --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.