Analytics & Monitoring Agent Skills for HTTP / API

Set up observability for Miro REST API v2 integrations with Prometheus

Collect Mistral AI debug evidence for support tickets and troubleshooting.

Execute Mistral AI incident response procedures with triage, mitigation,

Execute migration to Mistral AI from OpenAI, Anthropic, or other providers.

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.

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…