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analyze

Analyze CSV/Excel data and knowledge-base exports to generate Markdown insight reports.

Updated Jan 14, 2026
Search Tags:#python#csv#data-analytics#analyze#pm-insights#kb-gap
One-click install
npx skills add https://github.com/nuggetswise/pmos --skill analyze-nuggetswise
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/nuggetswise/pmos/tree/main/skills/analyze
Command: npx skills add https://github.com/nuggetswise/pmos --skill analyze-nuggetswise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill generates actionable PM insights from structured data and KB exports, reducing manual analysis time and improving evidence-driven decision making.

Core Features & Use Cases

  • Data analysis mode (--data): analyzes CSV/Excel inputs to produce metrics, trends, and charts.
  • KB gap analysis mode (--kb): evaluates knowledge-base exports to identify missing articles, gaps, and AI opportunities.
  • Output & traceability: writes insights to outputs/insights with a clear provenance and a findings ledger.

Quick Start

Use the analyze skill to generate insights from your data in inputs/data/ and knowledge base exports in inputs/knowledge_base/.

Frequently Asked Questions about analyze

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

FAQPage Schema
How do I analyze CSV data to generate actionable PM insights and trends?▼

Analyze CSV data by running the --data mode to process CSV/Excel inputs, producing metrics, trends, and charts for actionable PM insights. It leverages Python scripting when necessary and outputs a Markdown report to outputs/insights.

What is the best way to identify missing articles and gaps in a knowledge base export?▼

Identify missing articles and KB gaps by running the --kb mode against knowledge base exports. This evaluates the content to pinpoint missing articles, gaps, and AI opportunities, writing the findings to a Markdown report with a clear provenance ledger.

Do I need Python to run data analysis on CSV and Excel inputs for metrics?▼

Python is leveraged by the skill when necessary to run data analysis on CSV and Excel inputs. You do not need to manually write Python scripts; the skill applies it automatically to produce metrics, trends, and charts.

Can I use a single tool for both structured data analysis and KB gap analysis?▼

You can use this unified skill for both structured data analysis and KB gap analysis. It supports --data mode for CSV/Excel metrics and --kb mode for evaluating knowledge base exports, consolidating outputs into a single Markdown findings ledger.

How do I trace findings and provenance when analyzing knowledge base exports?▼

Trace findings and provenance through the outputs/insights directory, which stores generated Markdown reports alongside a clear data dictionary and findings ledger. This ensures every identified KB gap and metric is traceable to its source export.

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