Analytics & Monitoring Agent Skills for ChatGPT

Save, load, inspect, minify, and share scvi-tools model artifacts

Use when building the formal model for a Marketing Science manuscript — turning a marketing phenomenon into an analytical (game-theoretic)…

Use when formulating the model and stating results for an Operations Research (OR) manuscript — defining the…

Refresh a user- or project-owned point-in-time guide for model prompting, benchmark-aware routing, execution lanes, and pricing when the…

Generate a reproducible, runnable PyTorch training repo for a medical-imaging task — segmentation, classification, detection…

When to activate: model serving, inference, FastAPI ML, BentoML, Triton, vLLM, model deployment, online inference, batching

Vet the concrete third-party model a study will be built on — this repository, this revision, this checkpoint — not the architecture family.

Design or audit the clinical-validation study for an engineer-built medical-imaging model (segmentation, classification, or detection)…

Build this skill enables AI assistant to track and manage ai/ml model

This skill should be used when the user asks to write, review, debug, optimize, test, port, benchmark, migrate, or design software in the…

Two-window momentum analysis for any topic: run last30days once (30-day sweep), immediately re-score the same corpus under a shorter…

Monitor running experiments, check progress, collect results.

You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions.

Build real-time API monitoring dashboards with metrics, alerts, and

This skill enables Claude to monitor database health using real-time metrics, predictive alerts, and automated remediation.

This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin.

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and…

🐉 skill for generating high-quality, annotated incident graphs for post-mortems using Python.

When to activate: monitoring, observability, SLO, SLI, SLA, alerting, dashboard, Prometheus, Grafana, Alertmanager, uptime, latency

Guide for using the Grafana MCP to monitor and diagnose the capture service (rust/capture) in production.

Triage Monte Carlo alerts interactively or build an automated workflow.