Analytics & Monitoring Agent Skills

Optimize Mistral AI performance with caching, batching, and latency

Analyze, plan, and execute Mistral AI SDK upgrades with breaking change

Apply production-ready Mistral AI SDK patterns for TypeScript and Python.

Retrospective protocol contract violation detector.

Mixpanel API for product analytics. Use when user mentions "Mixpanel",

Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries.

End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases.

Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model…

Build train machine learning models with automated workflows.

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases…

ML reconnaissance — inventory all models, pipelines, data sources, and monitoring.

ML optimization sweet spot principle: "More is not always better".

When to activate: MLflow, experiment tracking, model registry, autologging, MLflow serving, artifact storage, model signatures, ML lifecycle

Show the current MLflow tracing configuration for Claude Code.

Design or audit a model-agnostic evaluation harness for an LLM or multimodal LLM on a clinical task (radiology report generation, visual…

MLOps and Platform: 23 concepts, no maths assumed.

When to activate: MLOps, DVC, model versioning, drift detection, Evidently, WhyLogs, retraining, ML CI/CD, model monitoring

Use when packaging an accepted MLSys paper's code, configs, and measurement scripts for the venue's post-acceptance artifact evaluation…

Use when deciding whether a project belongs at MLSys rather than OSDI, SOSP, NSDI, ASPLOS, ATC, EuroSys, or the ML conferences, testing…

Analyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.

Choose an ML model or provider when a user asks which checkpoint, router, local model, adapter, tokenizer, or inference backend fits a…