pandas
CommunityTurn support data into actionable insights.
Authormanutej
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables data analysis and manipulation for customer support operations, turning raw ticket data into actionable insights for SLA tracking, agent performance, and trend analysis.
Core Features & Use Cases
- Data Loading & Cleaning: Import tickets, CSAT scores, and customer data; clean and validate data quality.
- SLA Tracking & Metrics: Compute response times, resolution times, and SLA compliance rates.
- Agent & Team Analytics: Aggregate by team, agent, channel, and priority to measure performance.
- Time Series & Trends: Analyze ticket volume trends and seasonality.
- Automated Reporting: Prepare dashboards or export for stakeholders (Excel/CSV/Parquet).
Quick Start
Run a pandas script to compute average response time from a tickets dataframe and export a summary to CSV.
Dependency Matrix
Required Modules
pandas>=2.2.0sqlalchemy>=2.0.0psycopg2-binary>=2.9.0numpy>=1.26.0openpyxl>=3.1.0pytest>=8.0.0pyarrow>=15.0.0
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pandas Download link: https://github.com/manutej/luxor-claude-marketplace/archive/main.zip#pandas Please download this .zip file, extract it, and install it in the .claude/skills/ directory.