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ce-product-pulse

Generate time-windowed pulse reports on product performance and user experience.

14|3|Updated May 7, 2026
Search Tags:#user experience#data analytics#product monitoring#product performance#pulse report
One-click install
npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-product-pulse-ouro-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-product-pulse
Source: https://github.com/Ouro-labs/ouroboros-plugins/tree/main/plugins/compound-engineering/assets/skills/ce-product-pulse
Command: npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-product-pulse-ouro-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, numpy, matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill generates a time-windowed pulse report on product performance and user experience, providing insights into usage, quality, errors, and signals worth investigating.

Core Features & Use Cases

  • Time-Windowed Reporting: Generate reports for specified time windows like '24h', '7d', or '1h'.
  • Product Analytics: Aggregate usage, performance, and error data.
  • Quality Scoring: Optionally score user sessions for quality.
  • Use Case: Use this Skill to get a weekly recap of your product's performance and identify areas for improvement.

Quick Start

Run the ce-product-pulse skill with a lookback window, e.g., 'ce-product-pulse 7d'.

Frequently Asked Questions about ce-product-pulse

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

FAQPage Schema
How do I generate a time-windowed pulse report for product performance?▼

Generate a product performance pulse report by running the skill with a lookback window like '7d' or '24h'. It analyzes usage, quality, errors, and signals to provide actionable user experience insights.

What data sources do I need for product monitoring and user experience analysis?▼

Product monitoring and user experience analysis requires access to product analytics and tracing data. Optionally, it can ingest payments data to enhance the quality scoring and overall signal detection.

How does quality scoring work for user sessions in a pulse report?▼

Quality scoring in a pulse report optionally evaluates user sessions by aggregating product analytics, tracing, and payment data. It processes these signals to identify areas for product improvement within a specified time window.

Can I use Python and pandas to monitor product performance over specific time windows?▼

Yes, you can monitor product performance over specific time windows using Python, pandas, and numpy. These dependencies handle data processing and reporting to generate the time-windowed pulse report.

What is the best way to get a weekly recap of product performance and user experience?▼

The best way to get a weekly recap of product performance is generating a pulse report with a 7-day lookback window. It aggregates usage, errors, and signals to identify areas needing improvement.

What are the limitations of using a time-windowed report for product analytics?▼

Limitations of a time-windowed report include dependency on accessible product analytics, tracing, and optionally payments data. Without these data sources, the quality scoring and signal detection capabilities are restricted.

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