Efficient Data Analysis Multi-Agent Team
Paste the following prompt into your AI chat to install this skill:
Please install @user_d76c672d/data-analysis-team-pro according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Business tables often arrive with mixed formats, Chinese headers, and messy money values before any analysis begins. A single script can split this pipeline, while manual checks slow down reporting.
How It Works
data-analysis-team-pro runs a PM-coordinated five-agent local batch flow:
- Fetcher reads .xlsx, .xls, .et, .ett, CSV, and TSV
- Cleaner normalizes Chinese columns and ¥, thousands separators, and percentages
- Analyst computes core metrics
- Visualizer emits SVG and PNG charts
- Reporter writes analysis_report.md
The run can resume from state, and lessons are stored locally in state/experiences.md.
Boundaries
It fits small-to-medium table analysis and report generation, not TB-scale streaming, strongly consistent transactions, or one-shot data extraction. Close Excel before rerunning, split very large files, and expect sensitive fields to be masked locally while data stays on the machine.
Use Cases
- Generate a cleaned, statistically summarized, chart-backed report from sales CSV with Chinese headers and currency values
- Run monthly Excel, WPS, and TSV operations data into Markdown analysis and export PNG charts for PPT
- Analyze local feedback tables with phone and email fields, masking sensitive values before report output
- Resume an interrupted table-analysis run from data_team_state.json instead of recalculating from scratch
Best For
- Data analysts who need to turn business Excel files into metrics and conclusions
- Operations leads who need quick weekly reports with charts
- Product managers who need retention or conversion table insights without hand-writing scripts
- Finance staff who need locally masked summaries of detailed transaction tables
Related Skills
Analyzes smart customer-service chat logs with semantic clustering to generate word clouds, Top K frequent questions, and personalized guess-you-ask recommendations.
Maps natural-language Reddit requests to KeyAPI REST workflows, validates endpoint contracts against official docs, and executes search, detail, comment, ranking, and report tasks.
Schedules fetching from NEP and custom academic sites, filters and ranks papers by keywords, generates Chinese summaries, and pushes Feishu cards with local download archiving.
Browser-based CSV/TXT visualizer with multi-Y-axis curves, smoothing, and PNG/JSON/CSV export.