zjunlpOfficial·19 Agent Skills Included

DataMind

Payment fee analysis, clinical records, and financial reporting

Solves complex data analysis tasks across payment processing, clinical records, SEC filings, and behavioral sensing datasets. Computes payment fees, fraud rates, and routing costs; analyzes patient histories, company financials, and student mental-health signals. Eliminates manual SQL writing, schema guessing, and multi-step spreadsheet work with ready-made, verified analysis procedures.

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npx skills add zjunlp/DataMind --all -g -y

All Skills in This Repository (19)

Pure Emerald Level Indicators

📦 In Repo

zjunlp

Total_Fees_Calculation

Compute total payment processing fees from dabstep transaction data and fee rules.

Routing_and_Cost_Optimization

Identifies card scheme or ACI with minimum/maximum fees for payment routing.

Applicable_Fee_IDs

Determine applicable fee IDs from merchant transaction data and fee rules.

Highest_Cost_Scenario_Identification

Identify the most expensive MCC or ACI for a transaction using predefined fee rules.

Fraud_and_General_Macro_Analysis

Analyze fraud rates and transaction distributions on the dabstep payment dataset.

Average_Fee_Estimation

Calculate average card scheme transaction fees by scheme, credit type, and MCC.

Average_Transaction_Value_Stats

Compute average transaction value statistics from payment data with optional filters.

Fee_Delta_and_Impact_Simulation

Calculates fee deltas for merchant payment scenarios with rate and MCC changes.

Dataset_Metadata_and_Business_Rules

Analyze payment processing dataset structure, metadata, and business rules.

dabstep-fraud-general-macro-analysis

Analyze macro-level fraud rates and statistics on the dabstep payment dataset using Python.

dabstep-dataset-metadata-business-rules

Interpret metadata and business rules in the dabstep payment processing dataset.

skill-creator

Guide creating Claude skills with Python scripts and structured resources.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install DataMind?▼

Run `npx skills add zjunlp/DataMind --all -g -y` in your terminal to install all skills in this collection globally.

What kinds of data analysis does DataMind cover?▼

It covers payment fee calculation and fraud analysis on transaction data, patient record analysis on MIMIC-IV, company financial analysis on SEC 10-K filings, and behavioral trend analysis on the GLOBEM sensing dataset.

How does DataMind improve data analysis accuracy?▼

Each skill encodes verified dataset schemas, correct column names, exact formulas, and known pitfalls, so the agent avoids common errors like wrong joins, wrong units, or misread field semantics.

Does DataMind work with Claude Code and Codex?▼

Yes. All skills follow the standard SKILL.md format and run in Claude Code, Codex, and other compatible coding agents.

Can non-coders use DataMind for analysis?▼

Yes. You describe the analysis question in plain English, and the agent follows the skill's step-by-step procedure to query data and produce the report.