analytics

Convert analytics dashboard JSON into prioritized operational recommendations.

4|2|Updated Mar 29, 2026

Search Tags:#analytics #metrics #insights #dashboard #revenue #anomaly-detection #cockpit

Ready to run

npx skills add https://github.com/acrid-auto/acrid-brain --skill analytics-acrid-auto

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analytics
Source: https://github.com/acrid-auto/acrid-brain/tree/main/skills/analytics
Command: npx skills add https://github.com/acrid-auto/acrid-brain --skill analytics-acrid-auto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts raw analytics data into prioritized, actionable recommendations so Acrid can make data-driven decisions instead of relying on intuition.

Core Features & Use Cases

Automated Insight Generation: Reads the consolidated analytics dashboard JSON, flags anomalies, and summarizes key metrics for traffic, revenue, and content.
Operational Recommendations: Produces specific next actions with expected impact and updates the cockpit scoreboard during /ops runs.
Use Case: Weekly or on-demand analysis that identifies traffic spikes, new revenue events, API failures, and content gaps, then recommends precise fixes and experiments.

Quick Start

Analyze memory/analytics-dashboard.json, verify freshness, and output a three-line summary of traffic, revenue, and content with one prioritized recommendation.

Frequently Asked Questions about analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert raw dashboard metrics into actionable operational recommendations?▼

To convert raw dashboard metrics into operational recommendations, supply a recent consolidated analytics dashboard JSON. The system verifies API success, flags anomalies, and outputs prioritized next actions with expected impact for website, revenue, and content data.

How do I detect anomalies in my website traffic and revenue analytics?▼

Detecting anomalies in website traffic and revenue analytics requires providing a consolidated dashboard JSON. The system reads this data to flag traffic spikes, new revenue events, and API failures, then summarizes the findings for operational review.

What is automated operational insight generation from analytics dashboards?▼

Automated operational insight generation is the process of reading consolidated analytics dashboard JSON to flag anomalies and summarize key metrics. It converts raw traffic, revenue, and content data into prioritized, specific recommendations for data-driven decision making.

Do I need a specific dashboard JSON format to analyze metrics and generate recommendations?▼

Yes, you need a recent consolidated analytics dashboard JSON file to analyze metrics and generate recommendations. The system requires this input to verify API success, flag anomalies, and produce operational recommendations conforming to its specific output rubric.

Can I use analytics data to update the ops cockpit scoreboard during session checks?▼

Yes, you can use analytics data to update the ops cockpit scoreboard during session checks. The system reads dashboard JSON for session-start checks and /ops runs, producing specific next actions with expected impact to update the scoreboard.

What are the limitations of relying on analytics dashboards for operational decisions?▼

A limitation of relying on analytics dashboards for operational decisions is the strict requirement for recent dashboard JSON and API success verification. Without fresh, consolidated input data, the system cannot accurately flag anomalies or generate prioritized recommendations.