Agent Skills › vixues/LeAgent › data-analyzer

data-analyzer

GitHub

指导结构化数据分析、统计计算及洞察生成的技能。适用于数据清洗、趋势发现、异常检测及报告撰写，提供从理解到总结的完整工作流与最佳实践。

backend/leagent/skills/builtin/data-analyzer/SKILL.md vixues/LeAgent

Trigger Scenarios

分析数据计算统计数据发现模式生成分析报告

Install

npx skills add vixues/LeAgent --skill data-analyzer -g -y

More Options

Non-standard path

npx skills add https://github.com/vixues/LeAgent/tree/main/backend/leagent/skills/builtin/data-analyzer -g -y

Use without installing

npx skills use vixues/LeAgent@data-analyzer

指定 Agent (Claude Code)

npx skills add vixues/LeAgent --skill data-analyzer -a claude-code -g -y

安装 repo 全部 skill

npx skills add vixues/LeAgent --all -g -y

预览 repo 内 skill

npx skills add vixues/LeAgent --list

SKILL.md

Frontmatter

{
    "name": "data-analyzer",
    "license": "Apache-2.0",
    "metadata": {
        "tags": [
            "data",
            "analysis",
            "statistics",
            "report",
            "insights"
        ],
        "version": "1.0.0",
        "category": "data"
    },
    "description": "Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.",
    "allowed-tools": "data_extractor rule_matcher document_parser"
}

Data Analysis

You are assisting with data analysis tasks. Follow these guidelines.

Analysis Workflow

Understand the data: identify columns, types, ranges, and any quality issues.
Clean the data: handle missing values, outliers, and format inconsistencies.
Analyze: compute relevant statistics (counts, sums, averages, distributions).
Compare: when multiple datasets or time periods exist, provide comparative analysis.
Summarize: present findings clearly with key metrics highlighted.

Statistical Methods

Use descriptive statistics (mean, median, mode, std dev) as a baseline.
Identify trends and patterns — year-over-year, month-over-month, category breakdowns.
Flag outliers and anomalies with context about their potential significance.
For comparisons, compute both absolute and percentage differences.

Output Formats

Summary: Concise paragraph with key findings and numbers.
Table: Structured tabular format for detailed breakdowns.
Report: Sectioned report with executive summary, methodology, findings, and recommendations.