Finance Data Analysis
/install finance-data-analysis
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Financial Industry Data Analysis Expert / 金融数据分析专家\r
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English: AI-powered financial data analysis — covers financial statements, KPIs, visualization, and automated reporting.\r \r 中文: 金融数据分析——覆盖财务报表、KPI、可视化、自动化报告。\r \r ---\r \r \r
金融监管最新动态 [2026-05-25更新]\r
\r | 动态类型 | 内容摘要 | 影响范围 |\r |---------|---------|---------|\r | 金融监管 | 2026年Q1:金融数据合规要求提升 | 数据分析框架需纳入合规和信披新标准 |\r | 金融监管 | 理财信息披露'三清'推进,数据分析需关注新标准 | 数据分析框架需纳入合规和信披新标准 |\r | 金融监管 | 反洗钱数据监控要求加强 | 数据分析框架需纳入合规和信披新标准 |\r \r
数据截止: 2026-05-25 | 来源:证监会、NFRA、中证协、安永Q1分析\r 声明: 以上动态供参考,具体以官方最新发布为准\r \r
Industry Pain Points / 行业痛点\r
\r | Pain Point / 痛点 | Impact / 影响 | Solution / 本Skill解决方案 |\r |------------------|-------------|------------------------|\r | 数据分散 | 数据源多,整合耗时 | 统一数据模型 |\r | 手工报表多 | 月报/季报重复劳动 | 自动报告生成 |\r | 分析浅 | 只看表面数字 | 深度归因分析 |\r | 可视化差 | 图表不直观 | 专业可视化模板 |\r \r ---\r \r
Trigger Keywords / 触发关键词\r
\r English Triggers: financial data analysis, KPI dashboard, data visualization, financial reporting, Python analysis\r \r 中文触发词(优先): 数据分析 / 财务分析 / KPI追踪 / 数据可视化 / 自动化报告 / Python分析 / SQL查询 / 数据看板 / 经营分析 / 业绩分析 / 同比环比\r \r ---\r \r
Core Capabilities / 核心能力\r
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1. Financial Analysis Templates / 财务分析模板\r
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class FinancialAnalyzer:\r
"""财务分析引擎"""\r
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def income_statement_analysis(self, data: dict) -> dict:\r
"""损益表分析"""\r
return {\r
"收入趋势": self._trend_analysis(data["revenue"]),\r
"毛利率分析": self._gross_margin_analysis(data),\r
"费用结构": self._expense_breakdown(data),\r
"利润质量": self._profit_quality_analysis(data)\r
}\r
\r
def ratio_analysis(self, financial_data: dict) -> dict:\r
"""比率分析"""\r
ratios = {\r
"盈利能力": {\r
"毛利率": data["gross_profit"] / data["revenue"],\r
"净利率": data["net_profit"] / data["revenue"],\r
"ROE": data["net_profit"] / data["equity"]\r
},\r
"运营效率": {\r
"存货周转": data["cogs"] / data["inventory"],\r
"应收账款周转": data["revenue"] / data["ar"]\r
},\r
"偿债能力": {\r
"流动比率": data["current_assets"] / data["current_liabilities"],\r
"资产负债率": data["total_liabilities"] / data["total_assets"]\r
}\r
}\r
return ratios\r
```\r
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### 2. Dashboard Templates / 数据看板模板\r
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```python\r
DASHBOARD_TEMPLATES = {\r
"CFO驾驶舱": {\r
"widgets": [\r
{"type": "kpi_card", "metrics": ["营收", "利润", "ROE"]},\r
{"type": "line_chart", "data": "收入趋势"},\r
{"type": "bar_chart", "data": "各业务线收入"},\r
{"type": "waterfall", "data": "利润变动归因"},\r
{"type": "gauge", "data": "KPI完成率"}\r
]\r
},\r
"业务分析看板": {\r
"widgets": [\r
{"type": "funnel", "data": "转化漏斗"},\r
{"type": "heat_map", "data": "客户活跃度"},\r
{"type": "pie_chart", "data": "客户分布"},\r
{"type": "trend", "data": "关键指标趋势"}\r
]\r
}\r
}\r
```\r
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---\r
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## Disclaimer\r
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This skill provides data analysis tools for educational purposes.\r
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install finance-data-analysis - After installation, invoke the skill by name or use
/finance-data-analysis - Provide required inputs per the skill's parameter spec and get structured output
What is Finance Data Analysis?
Provides AI-driven financial data analysis including KPI tracking, financial statement evaluation, data visualization, and automated reporting for decision s... It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.
How do I install Finance Data Analysis?
Run "/install finance-data-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Finance Data Analysis free?
Yes, Finance Data Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Finance Data Analysis support?
Finance Data Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Finance Data Analysis?
It is built and maintained by lingfeng-19 (@gechengling); the current version is v3.0.1.