reporting-pipelines

Automates timestamped CSV, JSON, and Markdown reporting pipelines from CLI or JSON data.

68|19|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill reporting-pipelines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reporting-pipelines
Source: https://github.com/bobmatnyc/claude-mpm-skills/tree/main/universal/data/reporting-pipelines
Command: npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill reporting-pipelines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of standardized reports from various data sources, ensuring consistent formatting and timestamped outputs for better tracking and analysis.

Core Features & Use Cases

  • Automated Export: Generates CSV, JSON, and Markdown reports with automatic timestamped filenames.
  • Data Aggregation: Supports collecting base data via CLI or from existing JSON artifacts.
  • Use Case: Automatically generate daily sales reports in CSV format, timestamped with the current date, and save them to a dedicated reports/ directory for easy access by the analytics team.

Quick Start

Run the gitflow-analytics CLI with your configuration file to generate a CSV report with a timestamp.

Frequently Asked Questions about reporting-pipelines

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

FAQPage Schema
How do I automate report generation for CSV, JSON, and Markdown exports?

To automate report generation for CSV, JSON, and Markdown exports, use the reporting-pipelines Skill to standardize outputs with automatic timestamped filenames. It collects data via CLI or existing JSON artifacts and saves reports to designated directories.

What is the best way to create timestamped data exports for analytics workflows?

Creating timestamped data exports for analytics workflows is best handled by standardizing output storage in designated directories. This approach addresses the need for consistent data dissemination and historical record-keeping across multiple formats like CSV and JSON.

Can I generate daily analytics reports from existing JSON artifacts?

Yes, you can generate daily analytics reports from existing JSON artifacts by passing them as input data. The Skill aggregates this base data and exports it into CSV, JSON, or Markdown formats with the current date as a timestamp.

Does this reporting pipeline support collecting base data via command line interface?

Yes, the reporting pipeline supports collecting base data via command line interface (CLI). You can run the CLI with your configuration file to automatically gather data and generate reports in your chosen export format.

Are there limitations when standardizing output storage for multiple data formats?

Standardizing output storage for multiple data formats requires saving exports to a designated directory to maintain consistent tracking. Users must ensure their base data is accessible via CLI or JSON artifacts before generating the timestamped reports.