analyze

Orchestrate end-to-end BI/BA analysis with MCP data retrieval and Python analytics.

4|10|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/Stratio/genai-agents --skill analyze-stratio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/Stratio/genai-agents/tree/main/data-analytics/skills/analyze
Command: npx skills add https://github.com/Stratio/genai-agents --skill analyze-stratio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill orchestrates end-to-end BI/BA analysis across governed domains, enabling domain discovery, data profiling, KPI planning, MCP-driven data queries, Python-based analytics, visualizations, and multi-format deliverables with governance checks.

Core Features & Use Cases

  • Provides an end-to-end analytics workflow that intake requests, clarifies needs, plans metrics, queries governed data via MCP, performs Python analysis, generates visualizations, and orchestrates deliverable generation through writer skills (PDF, DOCX, PPTX, Web, etc.).
  • Supports data quality assessment, EDA, KPI/metric planning, and justification of insights with governance-aware outputs.
  • Suitable for multi-format deliverables (reports, dashboards, narratives, posters) and reasoning documentation, with optional tests and iterative refinement.

Quick Start

Run an end-to-end BI/BA analysis on a governed domain, including domain discovery, EDA, KPI planning and multi-format deliverables.

Frequently Asked Questions about analyze

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

FAQPage Schema
How do I automate end-to-end BI analysis across governed data domains?

Automated BI analysis across governed domains is handled by orchestrating domain discovery, data profiling, KPI planning, MCP-based data retrieval, Python analytics, and multi-format reporting with built-in governance checks.

Can I generate multi-format deliverables like PDFs and PowerPoints from my BI analysis?

Yes, multi-format deliverables including PDFs, DOCXs, PowerPoints, dashboards, and web articles are generated through integrated writer skills after Python-based analytics and visualizations are complete.

What is MCP-based data retrieval and how does it fit into a BI workflow?

MCP-based data retrieval queries governed data sources during the BI workflow, feeding domain-specific information directly into Python libraries like pandas and scikit-learn for analysis and visualization.

How do I plan and calculate KPIs for cross-domain business insights?

KPI planning and calculation for cross-domain insights is automated through an intake process that clarifies needs, profiles data, and applies Python-based analytics to generate justified metrics.

Does this BI analysis approach support data quality assessment and EDA?

Yes, data quality assessment and exploratory data analysis (EDA) are core supported features that evaluate governed datasets before KPI planning and automated insight generation occur.

What's the best way to produce governance-aware visualizations for business reporting?

Governance-aware visualizations are produced using Python libraries like matplotlib and plotly to generate insights, followed by orchestration through writer skills to output formatted reports and dashboards.