xagent

Coordinate multi-tool analysis with SOP-driven planning and four-stage frameworks.

196|20|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/xiaoyuge886/aigc --skill xagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xagent
Source: https://github.com/xiaoyuge886/aigc/tree/main/.claude/skills/x_agent_skill
Command: npx skills add https://github.com/xiaoyuge886/aigc --skill xagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jinja2, pydantic, loguru, numpy, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

XAgent solves the challenge of performing complex, multi-step business and data analysis by providing a structured, SOP-driven framework that ensures high-quality, consistent, and professional results.

Core Features & Use Cases

  • SOP-Driven Planning: Automatically decomposes complex queries into structured execution plans based on proven methodologies.
  • Multi-Tool Coordination: Intelligently selects and orchestrates multiple analysis tools to handle diverse tasks.
  • Four-Stage Analysis: Implements a rigorous framework covering descriptive, diagnostic, correlative, and predictive analysis.
  • Use Case: A business analyst can use XAgent to perform a comprehensive quarterly performance review, identifying growth opportunities and risks by automatically loading relevant financial SOPs and industry benchmarks.

Quick Start

Use the xagent skill to analyze the provided sales data for 2023 and identify key growth opportunities.

Frequently Asked Questions about xagent

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

FAQPage Schema
What is SOP-driven cross-domain data analysis and how does it work?

SOP-driven cross-domain data analysis uses standard operating procedures to decompose complex business intelligence queries into structured execution plans. It automatically selects analysis tools to ensure consistent, professional-grade results for multi-step tasks.

How do I perform a comprehensive financial performance review using structured analysis?

To perform a comprehensive financial performance review, you can utilize a four-stage analysis framework covering descriptive, diagnostic, correlative, and predictive stages. This methodology identifies growth opportunities and risks by applying structured execution plans to your data.

Can I use Python and pandas for customer behavior modeling in business intelligence?

Yes, you can use Python and pandas for customer behavior modeling. This skill requires Python 3.8+ and utilizes pandas and numpy to orchestrate multi-tool coordination and execute structured cross-domain data analysis tasks.

Does this SOP-driven analysis approach require specific Python dependencies to run?

Yes, SOP-driven analysis requires Python 3.8+ and depends on jinja2, pydantic, loguru, numpy, and pandas. These libraries support data manipulation, structured planning, and logging to execute complex business intelligence workflows.

What is the best way to identify market trends from complex business data?

The best way to identify market trends is using a four-stage analysis framework that progresses through descriptive, diagnostic, correlative, and predictive analysis. This structured approach ensures rigorous identification of trends and growth opportunities.

When should I not use a four-stage analysis framework for my data?

You should avoid using the four-stage analysis framework for simple, single-step queries that do not require multi-tool coordination. It is designed for complex, multi-step business intelligence tasks requiring rigorous SOP-driven planning and cross-domain analysis.