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mouseqiao85
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client-report

Generate client performance reports with portfolio returns, allocations, and market commentary.

1|Updated Feb 1, 2026
Search Tags:#report generation#investment analysis#financial reporting#client report#portfolio performance
One-click install
npx skills add https://github.com/mouseqiao85/AI-Plat --skill client-report-mouseqiao85
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: client-report
Source: https://github.com/mouseqiao85/AI-Plat/tree/main/agent/skills/client-report
Command: npx skills add https://github.com/mouseqiao85/AI-Plat --skill client-report-mouseqiao85

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of professional client-facing performance reports, simplifying the creation of portfolio returns, allocation breakdowns, and market commentary.

Core Features & Use Cases

  • Generate Reports: Create comprehensive performance reports suitable for quarterly or annual distributions.
  • Customization: Supports customization of reports for specific clients, including branding and disclaimers.
  • Use Case: For financial advisors, this Skill can automatically produce detailed reports that summarize portfolio performance, allocations, and market trends for clients.

Quick Start

Generate a client report for "John Doe" for the quarter ending 12/31/2023.

Frequently Asked Questions about client-report

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

FAQPage Schema
How do I automate client report generation for portfolio performance?▼

Automating client report generation involves processing portfolio returns, allocation breakdowns, and market commentary into a professional document. This Skill automates that workflow using Python to produce customized client-facing performance reports.

Can I customize financial reporting with specific branding and disclaimers?▼

Financial reporting customization supports specific client branding and disclaimers. You can tailor the generated portfolio performance reports to include individualized market commentary and allocation breakdowns for quarterly or annual distributions.

How do I generate quarterly performance reports using Python and pandas?▼

Generating quarterly performance reports with Python requires processing financial data using pandas and numpy. This Skill automates creating comprehensive summaries of portfolio returns and market trends for client distribution.

Do I need Python to create client-facing investment analysis reports?▼

Python is required to create client-facing investment analysis reports with this Skill. It processes financial data and generates portfolio performance outputs using dependencies like pandas, numpy, and matplotlib for data manipulation and visualization.

What is the best way to include market commentary in portfolio performance reports?▼

Including market commentary in portfolio performance reports is handled automatically during generation. The Skill integrates market trends and allocation breakdowns alongside portfolio returns to produce comprehensive client-facing documents.

What are the limitations of automating financial reporting with Python scripts?▼

Automating financial reporting with Python scripts requires pandas, numpy, and matplotlib dependencies. Processing is tailored for financial services generating client reports, so users must provide structured financial data inputs to ensure accurate portfolio performance outputs.

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