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OpenLabor
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Reporting

Generate formatted business reports with key metrics from CSV, Excel, or JSON data.

4|Updated Mar 6, 2026
Search Tags:#narrative#analytics#dashboards#reporting#data-analysis#kpi#business-intelligence
One-click install
npx skills add https://github.com/OpenLabor/openlabor --skill reporting-openlabor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Reporting
Source: https://github.com/OpenLabor/openlabor/tree/main/skills_archive/reporting
Command: npx skills add https://github.com/OpenLabor/openlabor --skill reporting-openlabor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams spend significant time compiling data into narratives and executive summaries. This Skill automates the creation of clear, actionable business reports directly from data sources.

Core Features & Use Cases

  • Automated report generation from data sources (CSV, Excel, JSON) with executive summary and KPI calculations.
  • Visual summaries and charts to support data-driven decisions.
  • Use Case: monthly performance reports for sales, operations, and finance, with targeted recommendations.

Quick Start

Generate a concise business report from your dataset with key metrics and actionable recommendations.

Frequently Asked Questions about Reporting

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

FAQPage Schema
How do I automate report generation from CSV or Excel data?▼

Automate report generation by feeding structured CSV, Excel, or JSON data into the system, which computes key metrics and outputs a formatted, decision-ready report. This eliminates manual data compilation and directly generates executive summaries with targeted recommendations.

What is the best way to turn raw data into an executive summary with KPIs?▼

Turning raw data into an executive summary requires calculating KPIs and identifying performance trends against targets. This process transforms structured datasets into clear narratives and visual summaries, providing actionable business intelligence for sales, finance, or operations.

Can I create monthly performance reports for finance and operations datasets?▼

Yes, you can create monthly performance reports for finance and operations by processing structured datasets. The system summarizes performance, compares results against targets, and highlights trends, delivering formatted reports ready for sharing and data-driven decisions.

Does automated business intelligence reporting work with JSON inputs?▼

Automated business intelligence reporting works directly with JSON, CSV, and Excel inputs. It processes these structured data formats to compute key metrics, generate visual summaries, and output a formatted report with actionable recommendations for your business needs.

What are the limitations of automated data analysis for report creation?▼

Automated data analysis for report creation requires structured data inputs like CSV, Excel, or JSON to function correctly. Unstructured data formats are not supported, and the accuracy of KPI calculations and trend highlights depends entirely on the input data quality.

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