coo-analytics

Collect and normalize operational data from multiple platforms using Playwright MCP.

14|4|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/lotosbin/claude-skills --skill coo-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coo-analytics
Source: https://github.com/lotosbin/claude-skills/tree/main/.claude/skills/coo-analytics
Command: npx skills add https://github.com/lotosbin/claude-skills --skill coo-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

COO operations data is scattered across multiple platforms. This skill automates the collection and consolidation of key operational metrics from each source to empower data-driven decision making.

Core Features & Use Cases

  • Cross-platform data collection: Retrieve metrics from App Store Connect, 微信小程序后台, 小红书创作者中心, 抖音创作者中心, and 微信公众号后台 using Playwright MCP.
  • Unified data schema: Normalize disparate data into a single, consumable format for dashboards, reports, and analytics.
  • Use Case: A COO can generate daily运营数据 reports by aggregating downloads, revenue, engagement, and audience metrics from all connected platforms.

Quick Start

Collect operational data from App Store Connect, WeChat Mini Program backend, Xiaohongshu Creator Center, Douyin Creator Center, and WeChat Official Accounts using Playwright MCP.

Frequently Asked Questions about coo-analytics

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

FAQPage Schema
How do I aggregate cross-platform operational data from App Store Connect and WeChat?

To aggregate cross-platform operational data, you can collect metrics from App Store Connect, WeChat Mini Program backend, Xiaohongshu, and Douyin. This skill uses Playwright MCP to navigate platforms, extract operational data, and normalize it into a unified schema for reporting.

What is the best way to automate COO-level analytics reporting for mobile and social platforms?

Automating COO-level analytics reporting is best achieved by extracting data from App Store Connect, WeChat Mini Program, Xiaohongshu, Douyin, and WeChat Official Accounts. It normalizes disparate metrics into a single consumable format, enabling automated daily operational data reports.

Can I use Playwright MCP to extract data from Xiaohongshu Creator Center?

Yes, you can use Playwright MCP to extract data from Xiaohongshu Creator Center. The skill leverages Playwright MCP to navigate the creator center, retrieve audience and engagement metrics, and consolidate them with data from other platforms.

How does cross-platform data collection unify metrics from different creator centers?

Cross-platform data collection unifies metrics by normalizing disparate data from App Store Connect, WeChat, Xiaohongshu, and Douyin into a single unified schema. This process transforms varied operational data into a consistent format for dashboards and analytics.

Do I need a unified data schema to consolidate downloads and revenue from multiple platforms?

Yes, a unified data schema is required to consolidate downloads, revenue, and engagement metrics from multiple platforms. This skill normalizes the extracted data into a consumable format, allowing you to generate comprehensive COO operations reports.