Skill UI

This utility collects comprehensive diagnostic evidence necessary for troubleshooting Webflow integrations and API usage. It automatically gathers crucial data points into a single, support-ready diagnostic bundle. Key metrics include the Webflow SDK version, API token validation status, rate limit headers, site connectivity reports, CMS health checks, and recent error logs, significantly streamlining the technical support process.

Implement a comprehensive observability stack for Webflow Data API v2 integrations. This skill provides structured code using Prometheus metrics, OpenTelemetry distributed tracing, and structured logging (pino) to monitor API call frequency, latency, error rates, and rate limit usage. Ideal for developers building robust, production-grade Webflow-connected SaaS applications that require deep performance insights and reliable alerting.

Generates a complete, self-contained HTML dashboard for analytics, admin, or control panel views. It structures the layout with a fixed sidebar, top navigation, KPI cards, and detailed charts (using inline SVG). Ideal when the brief requires visualizing key metrics, performance over time, or operational statistics.

This skill generates a sophisticated, single-screen consumer dashboard mimicking a high-end lifestyle publication's dating column. It moves beyond simple swiping mechanics to visualize complex social metrics, mutual matches, and connectivity trends using editorial typography and restrained design. Ideal for concepts requiring data-driven storytelling about personal or community relationships.

Generates a comprehensive, single-screen financial report in a self-contained HTML file. This skill is designed for analyzing key business metrics, including P&L summaries, MRR trends, KPI cards (Revenue, Gross Margin, Cash Runway), and top-accounts analysis. Ideal for quarterly or monthly financial reviews in SaaS or startup environments.

This skill generates a comprehensive, one-page product specification document (PRD) or feature brief. It structures critical information—including problem statements, success metrics, user stories, and scope—into a professional, actionable markdown/HTML format. Ideal for formalizing product ideas and kickstarting development planning when presented with terms like 'PRD' or 'spec'.

Automatically generates a professional, single-file, horizontal-swipe HTML slide deck for weekly team updates. Ideal for routine status meetings, this skill structures key information into specific sections: what was shipped, what is in flight, blocked items, key metrics, and next week's asks. Streamlines team communication and reporting processes.

This utility displays the precise, real-time token usage and estimated cost savings for the current session. It reads directly from the internal session log, ensuring objective and accurate data without requiring AI computation. Triggered by /caveman-stats, it provides immediate performance metrics to monitor API costs and usage patterns.

This specialized tool guides the definition, review, and calculation of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets, following SRE best practices. It helps teams move beyond arbitrary metrics by calculating multi-window burn rates, designing concrete SLIs (success rate, latency, availability), and identifying common SLO mistakes (e.g., unsustainable targets, missing error budget policies).

Access real-time, field-level Google data for comprehensive SEO analysis. This skill integrates Search Console (GSC), PageSpeed Insights, CrUX field data, GA4 organic traffic, and the Indexing API. Use it to analyze Core Web Vitals (CWV), indexation status, CTR, click performance, and organic traffic trends directly from Google's metrics.

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.