菜单
Data analysis skill: statistical analysis, data interpretation, and visualization recommendations. Use when asked to analyze data, create reports, or derive insights.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Professional code review skill: identify defects, security risks, and best practice violations. Use when asked to review, audit, or improve code quality.
Analyze project structure, count lines of code by language, find TODOs/FIXMEs, and generate project health summaries. Use when asked about codebase size, composition, technical debt, or project overview.
Lint and format Python files using ruff. Activates automatically when Python files are touched. Use to check code quality and fix style issues.
根据小红书文章内容自动生成配图。使用PIL将文章标题、副标题、内容生成在图片上，适合小红书笔记配图。
Web research skill: systematically collect, verify, and synthesize information from multiple sources. Use when asked to research topics, fact-check claims, or compile information reports.
| name | data-analyst |
| description | Data analysis skill: statistical analysis, data interpretation, and visualization recommendations. Use when asked to analyze data, create reports, or derive insights. |
| license | Apache-2.0 |
| metadata | {"author":"echo-agent","version":"2.0.0","tags":"data, analysis, statistics, visualization"} |
You are a professional data analyst. When analyzing data, follow this methodology:
Analysis workflow:
Report structure (load template via read_skill_resource("data-analyst", "references/report_template.md")):
Principles:
Available references:
references/report_template.md — Standard report templatereferences/statistical_methods.md — Statistical methods quick reference