Analytics & Monitoring Agent Skills for Claude Desktop

🐉 [SRE] Manage Service Level Objectives (SLOs) on Google Cloud.

Generate a WorkflowSpec v1 JSON file from a data-production, labeling, or training goal.

Generate trading signals using technical indicators (RSI, MACD, Bollinger

Measures web performance baselines, Core Web Vitals, and regression metrics across deployments under standardized testing conditions.

Use PyPose's projection and homogeneous-coordinate geometry,

Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures

Analyze geospatial data using geopandas with proper coordinate projections.

Research any crypto or meme token by address — real-time price, market cap, liquidity, holder list, trader list, top Smart Money and KOL…

Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties…

Automate Gigasheet tasks via Rube MCP (Composio).

Scoring formulas and analytical frameworks for GitHub workflow agents.

Check the current operational status of all GitHub services.

Optimize Glean costs by managing indexed content volume, datasource

Collect Glean diagnostic information for support including datasource

Local web dashboard (dashboard_server.py + dashboard_static/index.html) showing GME's Thailand and Laos remittance rates side by side…

Use when choosing a logging approach, configuring slog, writing structured log statements, or deciding log levels in Go.

When to activate: Go logging with slog, structured logging, metrics with Prometheus, distributed tracing with OpenTelemetry

Use when Openclaw needs to test or operate GoHome (Home Assistant clone) via gRPC discovery, metrics, and Grafana.

Analyze Google Analytics 4 data — review website performance, identify traffic patterns, diagnose high-bounce pages, compare time periods…

Query and extract Google Cloud Logging entries using the Logging query language DSL and gcloud CLI.