Analytics & Monitoring Agent Skills

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters…

Configures error tracking (Sentry), product analytics (PostHog), health monitoring, and alerting.

Investigate and diagnose issues without necessarily fixing them

Use when a European Economic Review (EER) manuscript needs a theoretical model built or tightened — a pure-theory result, a…

Use when a The Journal of Law and Economics (JLE) manuscript needs a model of the legal rule — deterrence, liability, contracting, or…

Analyze and optimize system throughput including request handling, data

Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.

Use when working on time series forecasting, sequence prediction, or any task with temporal data (weekly/daily orders, retail SKU…

Show full session token usage, costs, TLDR savings, and hook activity

Install Together AI SDK and configure API key for inference and fine-tuning.

Together AI prod checklist for inference, fine-tuning, and model deployment.

Together AI rate limits for inference, fine-tuning, and model deployment.

Get current USD price for any token on Base via Birdeye (CoinGecko fallback).

Measurement-driven model router for Claude Code.

Give a NVIDIA OO agent capabilities — methods as tools, built-in tools (ShellTools, TodoManager), MCP servers, agent skills…

Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural…

Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test.

Use when context window is getting crowded, when dealing with long training logs, or when preparing prompts with mixed-priority content…

Analyze OpenTelemetry distributed traces from Axiom.

Analyze NVIDIA OO Agents execution traces programmatically with the trace-explorer CLI and Python API.

Turns a set of production traces into discovery interviews — recovering, for each behaviour pattern, the discovery question the user…