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gechengling

Finance Training Coach

by lingfeng-19 · GitHub ↗ · v3.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install finance-training-coach
Description
AI-powered financial industry training system offering skill assessment, personalized learning paths, role-play exercises, quizzes, and performance tracking...
README (SKILL.md)

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

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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

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1. Skill Assessment / 技能评估\r

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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
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---\r
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## Disclaimer\r
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This skill provides training tools for educational purposes.\r
Usage Guidance
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install finance-training-coach
  3. After installation, invoke the skill by name or use /finance-training-coach
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug finance-training-coach
Version 3.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Finance Training Coach?

AI-powered financial industry training system offering skill assessment, personalized learning paths, role-play exercises, quizzes, and performance tracking... It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.

How do I install Finance Training Coach?

Run "/install finance-training-coach" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Finance Training Coach free?

Yes, Finance Training Coach is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Finance Training Coach support?

Finance Training Coach is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Finance Training Coach?

It is built and maintained by lingfeng-19 (@gechengling); the current version is v3.0.1.

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