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Highly Recommended

Claude Data Analysis Ultra Main

Say goodbye to manual Excel analysis, let AI handle everything
Data analysis has never been easier
Core Principle:
Claude Data Analysis Assistant is your AI-powered data analysis partner. Just drop your data in a folder, then use two simple commands: /do-all for complete analysis workflow (with human checkpoints), or /do-more for quick automated analysis. It automatically detects data types, selects optimal skills, and generates professional reports.
KEY FEATURES
01One-Click Analysis
/do-more automatically scans data, selects 7+ skills, reports in 5 minutes
02Complete Workflow
/do-all provides 6-stage workflow with 3 human checkpoints
03Multi-Format Reports
Choose from HTML/PDF/Markdown/DOCX report formats
0412 Specialized Skills
Covers 12 domains including customer analysis, marketing analytics, data modeling
github.com/liangdabiao/claude-data-analysis-ultra-main
testing-security·liangdabiao·2026-02-05·⭐ 125·🔱 22
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/liangdabiao/claude-data-analysis-ultra-main.git
SSH
git clone [email protected]:liangdabiao/claude-data-analysis-ultra-main.git
GitHub CLI
gh repo clone liangdabiao/claude-data-analysis-ultra-main
FAQ
Q: What are the installation steps for Claude Data Analysis Ultra Main Agent Skills?
1.Prepare Data: Place CSV files in data_storage folder
2.Choose Mode: Run /do-all(full workflow) or /do-more(quick analysis)
3.View Reports: Find results and visualizations in output folders
4.Further Development: Use generated code for deeper analysis
Q: What are the highlights of Claude Data Analysis Ultra Main Agent Skills?
  • Reports in 5 mins
  • Zero configuration
  • Auto-selects best skills
  • Commercial-grade analysis
Q: What are the use cases for Claude Data Analysis Ultra Main Agent Skills?
  • E-commerce analytics
  • User behavior research
  • A/B test reporting
  • Customer value prediction
Q: What are the limitations of Claude Data Analysis Ultra Main Agent Skills?
  • Requires Python environment
  • Performance limited with large datasets
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