Analytics & Monitoring Agent Skills for HTTP / API

Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps.

Build and evaluate classification models for supervised learning tasks

Set up comprehensive observability for Cohere API v2 with metrics, traces,

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights.

Kokoro TTS health check. TRIGGERS - kokoro health, tts health, kokoro status.

Analyze Rails code for performance issues, optimize queries, identify bottlenecks, and ensure scalability.

Configure OneKey Sentry and filter events across desktop, mobile, web, and extension.

Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework.

XBRL financial statement tagging and SEC filing preparation skill

LLM observability platform for tracing, evaluation, and monitoring.

Analytics engineering across data modeling, dbt, transformation, and semantic layers.

Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and…

Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions.

Review existing analytics — find all dashboards and reports, check who uses them, whether metrics are defined, and whether they drive…

Project health and ROI dashboard. Use monthly or when evaluating workflow effectiveness. Shows bugs caught, token cost, and trends.

Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms.

Reference components for generating Kubernetes operator CRD dashboards

Add product analytics events to track user interactions in the Metabase frontend

Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization.

Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.

A/B test design — produce an experiment spec with hypothesis, primary metric, MDE, sample size, run time, and decision rule.