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demo-bot-usage-report

Analyze chatbot conversation CSVs to generate visual dashboards and PDF reports.

1|Updated Apr 25, 2026
Search Tags:#analytics#reporting#visualization#conversation analysis#chatbot#PDF
One-click install
npx skills add https://github.com/anyreachai/claude-skills --skill demo-bot-usage-report
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: demo-bot-usage-report
Source: https://github.com/anyreachai/claude-skills/tree/main/skills/demo-bot-usage-report
Command: npx skills add https://github.com/anyreachai/claude-skills --skill demo-bot-usage-report

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib, reportlab, pypdfium2, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of comprehensive usage reports for demo chatbots, enabling quick insights into performance, sentiment, and conversational patterns.

Core Features & Use Cases

  • Data Analysis: Processes conversation export CSV files to extract key metrics such as session counts, durations, and sentiment.
  • Visual Reporting: Generates standardized charts and a professional PDF report outlining use cases, capabilities, user experience, and qualitative insights.
  • Quick Start: Upload your conversations CSV and specify the bot and addressee to produce a ready-to-share report that highlights the bot’s strengths and areas for improvement.

Frequently Asked Questions about demo-bot-usage-report

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

FAQPage Schema
How do I generate a PDF report from chatbot conversation data?▼

You can generate a PDF report from chatbot conversation data by uploading a conversation export CSV and specifying the bot and addressee. The Skill uses pandas and matplotlib to process metrics and produce a stakeholder-ready PDF.

What metrics are included in chatbot conversation analysis reports?▼

Chatbot conversation analysis reports include session counts, durations, sentiment, user engagement, and qualitative feedback. These metrics are extracted from your CSV data to evaluate bot performance and conversational patterns.

Do I need Python libraries installed to automate chatbot usage reporting?▼

Yes, automating chatbot usage reporting requires the Python libraries pandas, matplotlib, reportlab, and pypdfium2. These dependencies process CSV data, generate visual charts, and compile the final PDF document.

Can I visualize chatbot session metrics from a CSV file without manual charting?▼

You can visualize chatbot session metrics from a CSV file without manual charting. The Skill automatically processes the CSV with pandas and generates standardized visual charts using matplotlib for your stakeholder presentation.

What's the best way to evaluate demo bot deployment performance for stakeholders?▼

The best way to evaluate demo bot deployment performance for stakeholders is to generate an automated analysis report. This Skill processes conversation CSV exports to highlight strengths, areas for improvement, and user experience insights in a PDF.

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