cnw-stats-analyzer

Query and analyze CNW telemetry data from MongoDB across prod and staging.

1|Updated Jun 3, 2025

Search Tags:#analytics #metrics #telemetry #mongodb #nx #cnw

Ready to run

npx skills add https://github.com/jaysoo/dot-ai-config --skill cnw-stats-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cnw-stats-analyzer
Source: https://github.com/jaysoo/dot-ai-config/tree/main/dot_gemini/skills/cnw-stats-analyzer
Command: npx skills add https://github.com/jaysoo/dot-ai-config --skill cnw-stats-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CNW telemetry data is scattered across environments and requires consolidated analysis to identify errors, performance issues, and usage trends. This Skill provides a focused approach to querying CNW-related data in MongoDB and producing interpretable metrics for stakeholders.

Core Features & Use Cases

Analyze CNW telemetry from the commandStats collection across prod and staging.
Generate metrics like completions, init invocations, cloud adoption, and version distributions to support operational decision making.
Compare baselines and targets over time to detect trends and anomalies in CNW usage.

Quick Start

Run the analyzer against your CNW telemetry MongoDB instance to generate a baseline report for daily usage and errors.

Frequently Asked Questions about cnw-stats-analyzer

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

FAQPage Schema

How do I analyze CNW telemetry data stored in MongoDB?▼

To analyze CNW telemetry data, you can query the commandStats collection and CNW events directly from MongoDB to aggregate metrics, identify common errors, and track usage trends across prod and staging environments.

Can I compare error rates and usage trends between prod and staging environments?▼

Yes, you can compare error rates and usage trends between prod and staging environments by querying MongoDB telemetry data to generate baseline reports, detect anomalies, and evaluate version distributions for operational decisions.

What metrics can I generate from CNW commandStats collections?▼

From CNW commandStats collections, you can generate telemetry metrics including completions, init invocations, cloud adoption rates, and version distributions to support operational decision making and track performance over time.

How do I track anomalies and compare baselines for CNW usage over time?▼

You can track anomalies by comparing baseline and target metrics over time from CNW telemetry data, allowing you to detect usage trends, monitor error rates, and identify performance issues across environments.

Does this telemetry analyzer require any specific dependencies or components?▼

No specific dependencies or components are required to use this telemetry analyzer. It operates independently to query MongoDB and expose structured metrics for CNW telemetry analysis without additional setup.

Why do I need to categorize common errors when analyzing CNW telemetry?▼

Categorizing common errors during CNW telemetry analysis enables clear identification of actionable insights, helping stakeholders pinpoint performance issues and prioritize fixes based on structured error rate data.