Xpersona
agentCLAWHUBUnverified

Insurance Agent Intelligent Trainer

AI-powered insurance agent training coach — auto-parses product docs, generates question banks, assesses agent skill levels (beginner/intermediate/advanced), schedules personalized daily training based on client visits, and delivers interactive role-play sessions. Updated for 2025-2026: covers predinig rate cut (3.0%) impact on sales scripts, new health insurance regulation, PIPL-compliant customer communication, and benchmark against AIA, Ping An, and Alibaba Cloud training systems. Keywords: 智能陪练, 代理人培训, 保险训练, 产品陪练, 话术训练, 角色扮演, 技能评估, AIA培训, 平安培训, 代理人展业, 保险销售, 客户面谈, 异议处理, 保险培训系统, 学习路径. Skill: Insurance Agent Intelligent Trainer Owner: gechengling Summary: AI-powered insurance agent training coach — auto-parses product docs, generates question banks, assesses agent skill levels (beginner/intermediate/advanced), schedules personalized daily training based on client visits, and delivers interactive role-play sessions. Updated for 2025-2026: covers predinig rate cut (3.0%) impact on sales scripts, new

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.9k

Updated

Oct 9, 2026

Version

5.2.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
1.9K downloadsadoption · observed Oct 9, 2026
Latest release
5.2.5release · observed Sep 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:insurance-agent-trainer
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-insurance-agent-trainer/snapshot"

Documentation

CLAWHUB

152,672 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: Insurance Agent Intelligent Trainer
description: >
  AI-powered insurance agent training coach — auto-parses product docs, generates question banks,
  assesses agent skill levels (beginner/intermediate/advanced), schedules personalized daily training
  based on client visits, and delivers interactive role-play sessions. Updated for 2025-2026: covers
  predinig rate cut (3.0%) impact on sales scripts, new health insurance regulation, PIPL-compliant
  customer communication, and benchmark against AIA, Ping An, and Alibaba Cloud training systems.
  Keywords: 智能陪练, 代理人培训, 保险训练, 产品陪练, 话术训练, 角色扮演, 技能评估, AIA培训, 平安培训, 代理人展业, 保险销售, 客户面谈, 异议处理, 保险培训系统, 学习路径.
slug: insurance-agent-trainer
version: 5.2.5
allowed-tools: []
capabilities:
  - educational-reference
  - advisory-only
  - requires-human-review
  - illustrative-code-samples
---

# Insurance Agent Intelligent Trainer / 保险代理人智能陪练系统

> **⚠️ SECURITY NOTICE / 安全声明**
> - **Type:** Educational reference / analytical framework ONLY
> - **No runnable package is bundled:** the flow sketches, JSON samples and the short
  Python-style pseudocode below are illustrative reference material for you to adapt in
  your own environment; this skill ships no installer, service, parser or executable payload
> - **No persistent storage, network calls, background execution, or credential collection**
> - **All outputs are for reference only and require human review before real-world application**
> - **This skill does NOT provide financial, legal, or insurance advice**
> - **Users must exercise their own judgment and consult qualified professionals**
>
> **⚠️ 数据安全警告**
> - 本技能仅提供保险代理人的培训辅导参考框架，**不内置可运行的解析器、题库引擎或存储服务**；
  文中的流程示意、JSON 样例与伪代码均为教学参考，需由使用方在自己的系统中实现
> - 所有文档解析、日程分析、画像评估的描述均为**教学参考框架**，**不包含实际的OCR或PDF解析引擎**
> - 不会自动访问、存储或处理用户的任何培训数据或个人信息
> - 培训计划和话术建议需结合用户实际业务场景调整，**不能替代专业培训师**
> - **销售话术和异议处理仅为培训参考，实际使用须遵守《保险法》及相关监管规定，不得以AI输出替代合规审核**



> **🔒 数据最小化前置声明（2026-09-24 新增，使用任何模块前先执行）**
> 1. 只描述、不粘贴：客户信息以“45 岁私企老板、家庭年收入约 200 万”这类脱敏描述输入，禁止粘贴真实姓名、证件号、电话、住址、银行账号。
> 2. 代理人档案同样脱敏：`agent_id` 用编号，姓名可用“张**”或化名。
> 3. 训练记录默认只保留汇总指标（得分、弱项标签），不保留完整对话原文；确需保留须经本人同意并限定用途。
> 4. 任何要写入文件或对外发送的训练报告、话术稿，先在对话中完整展示给用户预览，经明确确认后再落盘/发送。

> **English:** AI-powered insurance agent coaching system — parses product documents, generates
> personalized question banks, assesses agent competency levels, schedules daily training based on
> client visits, and runs interactive role-play drills. Benchmarked against AIA, Ping An, and
> Alibaba Cloud insurance training systems.
>
> **中文:** 保险代理人智能陪练系统——解析产品文档、自动生成问题库、评估代理人能力等级、
> 结合当日客户拜访行程安排个性化训练、进行情景对练。对标友邦保险、平安保险、阿里云智能陪练水平。

---

## Trigger Keywords / 触发关键词

**⚠️ 精确触发规则**：仅当用户明确提到保险代理人培训/陪练相关需求时激活。日常对话中提及"培训"、"训练"、"coaching"、"agent training"等通用词汇时**不会自动触发**。

**用户确认规则**：当用户输入匹配以下关键词时，必须先确认用户意图：
- "您需要保险代理人陪练/培训服务吗？"
- 仅在用户明确确认后，才进入陪练模式

激活关键词（需用户确认后生效）：

- 保险陪练 / 产品陪练 / 智能陪练 / 代理人训练
- 代理人培训 / 新人培训 / 保险话术训练
- 产品演练 / 客户异议处理 / 保险销售训练
- insurance agent training / insurance coaching / insurance p

_meta.json

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "slug": "insurance-agent-trainer",
  "version": "5.2.5",
  "publishedAt": 1790227032726
}

skill-card.md

## Description:

AI-powered insurance agent training coach that parses product documents conceptually, generates question banks, assesses agent skill levels, schedules personalized daily training, and supports interactive role-play sessions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gechengling](https://clawhub.ai/user/gechengling)

### License/Terms of Use:

MIT-0

## Use Case:

Insurance training teams, agency managers, and agents use this skill to prepare coaching materials, question banks, role-play drills, training plans, and advisory assessment reports for insurance-agent development. Outputs require human review before real sales, compliance, or product-recommendation use.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Training scripts or regulatory notes could be mistaken for current licensed insurance, legal, or financial advice.

Mitigation: Treat outputs as training examples only and require licensed compliance review before using generated material in real sales contexts.

Risk: Agent or customer details entered during training could include sensitive personal information.

Mitigation: Avoid entering real customer PII, use desensitized descriptions, and keep any training records limited to summary metrics unless proper consent and controls are in place.

Risk: Insurance rules, product terms, and sales-compliance requirements may change after the skill content was written.

Mitigation: Verify current insurance regulations and product terms against authoritative sources before applying any training output.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/gechengling/skills/insurance-agent-trainer)

## Skill Output:

**Output Type(s):** [text, markdown, code, configuration, guidance]

**Output Format:** [Markdown guidance with structured JSON examples and illustrative pseudocode.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Advisory educational outputs; no executable package, persistent storage, network calls, or credential collection are bundled.]

## Skill Version(s):

5.2.5 (source: frontmatter and server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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      "sourceType": "profile",
      "confidence": "medium",
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    {
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}

Record generated Oct 10, 2026.

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