Skill UI

This skill guides the creation of highly functional, operational monitoring dashboards for platforms like Grafana, SigNoz, and similar observability tools. The focus is on transforming raw metrics into actionable insights that answer critical questions (e.g., Is it healthy? Where is the bottleneck? What action is needed?), rather than simply displaying every available metric. Ideal for building dashboards for Kafka, Elasticsearch, or API gateways.

Guides multi-round investigation of any GitHub repository, combining API queries, discovery searches, and deep dives to produce structured markdown reports with summaries, timelines, metrics tables, and Mermaid diagrams for executive-ready briefs.

Guides Go developers through writing, running, and profiling benchmarks, interpreting pprof outputs, comparing regressions with benchstat, and tying results to CI or Prometheus metrics so you can make statistically sound performance decisions.

Guides Go engineers through production observability by covering structured logging with slog, Prometheus metrics, OpenTelemetry tracing, continuous profiling, RUM event tracking, alerting, and Grafana dashboards for observable services.

Guides Go engineers on using samber/hot for in-memory caches with TTL, loader chains, sharding, and metrics, plus choosing eviction algorithms to fit work-set and stability needs.

Generates a single formula-driven Excel dashboard from CSV/tabular data, complete with KPI cards, charts, sparklines, and conditional formatting so analysts can instantly review metrics and share an executive-ready .xlsx output.

This skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

A comprehensive automation toolkit for managing and executing Mailchimp email marketing workflows. It allows users to programmatically create, set content for, and send campaigns; manage entire audiences and lists; perform detailed subscriber lifecycle operations (add, update, segment); and analyze performance metrics. Ideal for marketing automation specialists and developers needing structured API access to Mailchimp. *Prerequisites include Rube MCP connectivity.*

This advanced workflow automates the process of analyzing the operational health of specific Azure resources. It ingests and analyzes raw logs, telemetry data, and performance metrics from diverse Azure services (e.g., VMs, Web Apps, Databases). The system performs comprehensive root cause analysis, classifies issues (Critical, High, Medium), and generates actionable, step-by-step remediation plans, significantly reducing manual troubleshooting time.

Automate Datadog monitoring tasks via Rube MCP’s Composio toolkit—query metrics, search logs, manage monitors/dashboards, and create events or downtimes while respecting live tool schemas.

Analyzes and generates a self-contained, explorable HTML report detailing usage metrics for Claude Code sessions. It tracks token consumption (input/output), subagent usage, skill calls, and cache efficiency across specified time ranges. This tool helps developers visualize resource waste and pinpoint areas for workflow optimization, ensuring cost-effective and efficient AI development cycles.

OpenSearch is a distributed search and analytics engine integrated into KubeSphere's WizTelemetry Observability Platform. It is designed to efficiently store, index, and analyze vast amounts of observability data, including Kubernetes logs, auditing events, system metrics, and application notifications. Used for building comprehensive monitoring dashboards and deep operational insights.