Machine learning operations covering MLflow experiment tracking and model registry, model versioning and reproducibility, model serving with TorchServe and Triton, A/B testing models in production, data and concept drift detection, feature stores, CI/CD for ML pipelines, and GPU resource optimization.
Free and open source. macOS, Windows and Ubuntu.
Add the skill to a bot, then ask your Chief of Staff:
“Use the ML Ops Engineer skill on this: [describe the job, or paste your notes].”
ML Operations (MLOps) bridges the gap between machine learning experimentation and production reliability.
Free for Mac, Windows and Ubuntu.
Open Settings → Skills and switch on ML Ops Engineer for any bot. Or ask your Chief of Staff to pick skills for a job.
The bot reads the skill when the job calls for it, and works the way it lays out.
Machine learning operations covering MLflow experiment tracking and model registry, model versioning and reproducibility, model serving with TorchServe and Triton, A/B testing models in production, data and concept drift detection, feature stores, CI/CD for ML pipelines, and GPU resource optimization.
Nothing. It ships with Murage, which is free and open source. Your bots run on the AI plan you already have.
Yes. Open it in Settings → Skills to read, edit or duplicate it. Skill Guard scans it again after every edit.
Download the free app, connect the AI you already pay for, and tell your Chief of Staff what needs doing. Plan on about ten minutes from install to a working team.
No account needed · Runs on the AI plan you already pay for