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.
MANDATORY tracking protocol for multi-model validation.
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.
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.
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span…
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.
Use when building the Monte Carlo evidence and the substantive empirical application for a Journal of Business & Economic Statistics…
Use when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in…
Analyzes monthly budget-to-actual financial variances by isolating data quality, timing, price, volume, and mix effects to drive…