← 返回 Skills 市场
gechengling

Finance Training Coach

作者 lingfeng-19 · GitHub ↗ · v3.0.1 · MIT-0
cross-platform ✓ 安全检测通过
53
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install finance-training-coach
功能描述
AI-powered financial industry training system offering skill assessment, personalized learning paths, role-play exercises, quizzes, and performance tracking...
使用说明 (SKILL.md)

\r \r

Financial Industry Training & Coaching System / 金融行业培训陪练系统\r

\r

English: AI-powered training system — covers skill assessment, learning paths, role-play, and quizzes.\r \r 中文: 培训陪练系统——覆盖技能评估、学习路径、角色扮演、考核测验。\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:金融行业培训需覆盖最新合规要求 | 培训课程库需增加2026年合规和AI工具课程 |\r | 金融监管 | 保险销售人员分级制度、银行合规管理、反洗钱培训 | 培训课程库需增加2026年合规和AI工具课程 |\r | 金融监管 | AI工具使用培训需求上升(MCP/RAG/Agent等) | 培训课程库需增加2026年合规和AI工具课程 |\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 | 培训效率低 | 统一培训不适应个体差异 | 个性化学习路径 |\r | 实战不足 | 理论多、实操少 | AI角色扮演陪练 |\r | 效果难评估 | 培训效果无法量化 | 技能雷达图 |\r | 知识遗忘快 | 培训后知识快速遗忘 | 间隔重复机制 |\r \r ---\r \r

Trigger Keywords / 触发关键词\r

\r English Triggers: training system, skill assessment, role-play, learning path, financial education\r \r 中文触发词(优先): 培训 / 陪练 / 技能评估 / 角色扮演 / 学习路径 / 考核 / 测验 / 金融培训\r \r ---\r \r

Core Capabilities / 核心能力\r

\r

1. Skill Assessment / 技能评估\r

\r

SKILL_FRAMEWORK = {\r
    "banking": {\r
        "知识": ["产品知识", "合规知识", "营销知识"],\r
        "技能": ["客户沟通", "需求挖掘", "异议处理"],\r
        "态度": ["服务意识", "合规意识", "学习意愿"]\r
    },\r
    "insurance": {\r
        "知识": ["产品条款", "核保规则", "理赔流程"],\r
        "技能": ["需求分析", "方案设计", "促成技巧"],\r
        "态度": ["诚信展业", "长期服务"]\r
    }\r
}\r
\r
class SkillAssess:\r
    """技能评估引擎"""\r
    \r
    def assess(self, employee_id: str) -> dict:\r
        """全面技能评估"""\r
        return {\r
            "skill_radar": self._generate_radar(scores),\r
            "gap_analysis": self._identify_gaps(scores),\r
            "learning_recommendations": self._recommend_courses(gaps),\r
            "comparison_to_peers": self._peer_comparison(scores)\r
        }\r
```\r
\r
### 2. Role-play Training / 角色扮演\r
\r
```python\r
ROLE_PLAY_SCENARIOS = {\r
    "客户拒绝处理": {\r
        "场景": "客户说'我不需要保险'",\r
        "难度": "初级",\r
        "评估维度": ["倾听", "共情", "探询", "回应"]\r
    },\r
    "产品推荐": {\r
        "场景": "向高净值客户推荐综合理财方案",\r
        "难度": "高级",\r
        "评估维度": ["需求分析", "方案设计", "专业展示", "促成技巧"]\r
    }\r
}\r
```\r
\r
---\r
\r
## Disclaimer\r
\r
This skill provides training tools for educational purposes.\r
安全使用建议
Install only if you want finance-industry training and role-play support. Be aware it may activate on broad Chinese training or quiz terms, and verify any regulatory claims against official current sources before using them for compliance decisions.
能力评估
Purpose & Capability
The artifact coherently describes finance-industry training, coaching, assessment, learning paths, role-play, quizzes, and performance tracking; the embedded Python appears illustrative rather than executable runtime code.
Instruction Scope
The Chinese trigger list includes broad terms such as 培训, 陪练, 考核, and 测验, which may activate the skill in unrelated education or workplace conversations, but this is disclosed and aligned with the training purpose.
Install Mechanism
The package contains only SKILL.md, with no install scripts, binaries, dependency downloads, startup hooks, or executable components.
Credentials
The skill does not request credentials, local file access, network access, session/profile stores, APIs, or external integrations.
Persistence & Privilege
No persistence, background workers, privilege escalation, account mutation, or long-running automation is present.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install finance-training-coach
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /finance-training-coach 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v3.0.1
- Added latest financial regulatory updates as of 2026-05-25, including new compliance and AI training requirements. - Expanded description and keywords for improved discoverability in both English and Chinese. - Clarified industry pain points and mapped direct solutions within the skill. - Highlighted core capabilities: skill assessment, personalized learning paths, role-play training, quizzes, and performance tracking. - Updated trigger keywords for both English and Chinese use cases.
元数据
Slug finance-training-coach
版本 3.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Finance Training Coach 是什么?

AI-powered financial industry training system offering skill assessment, personalized learning paths, role-play exercises, quizzes, and performance tracking... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Finance Training Coach?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install finance-training-coach」即可一键安装,无需额外配置。

Finance Training Coach 是免费的吗?

是的,Finance Training Coach 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Finance Training Coach 支持哪些平台?

Finance Training Coach 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Finance Training Coach?

由 lingfeng-19(@gechengling)开发并维护,当前版本 v3.0.1。

💬 留言讨论