feat(pipelines): add 10 industry-specific pipeline templates

Education (3): research-to-quiz, student-analysis, lesson-plan
Healthcare (3): policy-compliance, meeting-minutes, data-report
Design Shantou (4): trend-to-design, competitor-research,
  client-communication, supply-chain-collect
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2026-04-01 23:43:45 +08:00
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# ZCLAW Pipeline - 客户沟通辅助
# 输入客户需求和沟通背景,生成专业沟通方案(邮件/报价单/产品推荐)
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: client-communication
displayName: 客户沟通辅助
category: design
industry: design-shantou
description: 输入客户需求和背景,自动生成专业沟通邮件、报价单、产品推荐书
tags:
- 汕头
- 客户沟通
- 报价
- 外贸
icon: 💬
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: client_background
type: text
required: true
label: 客户背景
placeholder: |
客户公司名、国家、主营业务
例如:美国 ABC Toys Inc., 主营益智玩具零售
- name: inquiry_details
type: text
required: true
label: 询盘内容
placeholder: 粘贴客户询盘原文或描述客户需求
- name: communication_type
type: multi-select
required: false
label: 生成内容
default:
- reply_email
- quotation
- product_recommendation
options:
- reply_email
- quotation
- product_recommendation
- follow_up_plan
- name: language
type: select
required: false
label: 输出语言
default: English
options:
- English
- 中文
- 双语
- name: our_products
type: text
required: false
label: 我方产品
placeholder: 简述可供推荐的产品线和特点
steps:
# Step 1: 客户需求分析
- id: analyze_inquiry
description: 分析客户询盘和需求
action:
type: llm_generate
template: |
分析以下客户询盘:
客户背景:
```
{{client_background}}
```
询盘内容:
```
{{inquiry_details}}
```
请生成 JSON 格式分析:
{
"client_profile": {
"company": "公司名",
"country": "国家",
"industry": "行业",
"business_type": "进口商/分销商/零售商",
"estimated_size": "规模估计"
},
"requirements": [
{"requirement": "具体需求", "priority": "高/中/低", "detail": "详细说明"}
],
"pain_points": ["痛点1", "痛点2"],
"budget_indicator": "预算水平判断",
"urgency": "紧急程度",
"decision_factors": ["决策因素1", "决策因素2"]
}
input:
client_background: ${inputs.client_background}
inquiry_details: ${inputs.inquiry_details}
json_mode: true
temperature: 0.4
max_tokens: 2000
# Step 2: 产品推荐匹配
- id: match_products
description: 匹配推荐产品
action:
type: llm_generate
template: |
基于客户需求,匹配推荐产品:
客户需求分析: ${steps.analyze_inquiry.output}
我方产品: {{our_products}}
请生成 JSON 格式推荐:
{
"recommendations": [
{
"product": "产品名称",
"match_reason": "匹配理由",
"specs": "规格参数",
"suggested_price": "建议报价(FOB)",
"moq": "最小起订量",
"lead_time": "交货周期",
"certifications": "相关认证",
"competitive_edge": "竞争优势"
}
],
"cross_sell_opportunities": ["交叉销售机会1"],
"upsell_possibilities": ["向上销售可能1"]
}
input:
analysis: ${steps.analyze_inquiry.output}
our_products: ${inputs.our_products}
json_mode: true
temperature: 0.6
max_tokens: 2500
# Step 3: 生成沟通内容
- id: generate_communications
description: 生成专业沟通内容
action:
type: llm_generate
template: |
生成专业客户沟通内容:
客户分析: ${steps.analyze_inquiry.output}
产品推荐: ${steps.match_products.output}
输出语言: {{language}}
生成类型: {{communication_type}}
请生成 JSON 格式:
{
"reply_email": {
"subject": "邮件主题",
"body": "邮件正文(专业、简洁、有吸引力)",
"call_to_action": "行动号召"
},
"quotation": {
"header": "报价单抬头",
"items": [
{"item": "产品", "description": "描述", "qty": 0, "unit_price": 0, "amount": 0}
],
"terms": "贸易条款",
"validity": "报价有效期",
"payment_terms": "付款条件",
"notes": "备注"
},
"product_recommendation": {
"title": "推荐书标题",
"sections": ["章节1概述", "产品亮点", "合作优势"],
"closing": "结束语"
}
}
input:
analysis: ${steps.analyze_inquiry.output}
products: ${steps.match_products.output}
language: ${inputs.language}
communication_type: ${inputs.communication_type}
json_mode: true
temperature: 0.7
max_tokens: 4000
# Step 4: 跟进计划
- id: follow_up_plan
description: 生成客户跟进计划
action:
type: llm_generate
template: |
生成客户跟进计划:
客户: ${steps.analyze_inquiry.output.client_profile}
紧急度: ${steps.analyze_inquiry.output.urgency}
请生成 JSON 格式:
{
"follow_up_steps": [
{"day": 0, "action": "立即行动", "channel": "邮件/WhatsApp/电话"},
{"day": 3, "action": "第一次跟进", "channel": ""},
{"day": 7, "action": "第二次跟进", "channel": ""},
{"day": 14, "action": "深度跟进", "channel": ""}
],
"relationship_building": ["关系维护建议1", "关系维护建议2"],
"cultural_notes": "文化注意事项"
}
input:
client_profile: ${steps.analyze_inquiry.output.client_profile}
urgency: ${steps.analyze_inquiry.output.urgency}
json_mode: true
temperature: 0.5
max_tokens: 1500
outputs:
inquiry_analysis: ${steps.analyze_inquiry.output}
product_match: ${steps.match_products.output}
communications: ${steps.generate_communications.output}
follow_up: ${steps.follow_up_plan.output}
on_error: stop
timeout_secs: 240

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# ZCLAW Pipeline - 竞品分析推荐
# 输入竞品信息和产品类别,自动进行竞品分析并给出差异化建议
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: competitor-analysis-design
displayName: 竞品→分析→推荐
category: design
industry: design-shantou
description: 输入竞品品牌/产品信息,自动进行功能、定价、设计风格对比分析,给出差异化产品建议
tags:
- 汕头
- 竞品分析
- 产品定位
- 玩具
- 服装
icon: 🔍
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: competitors
type: text
required: true
label: 竞品信息
placeholder: |
列出竞品品牌/产品,例如:
1. 奥迪双钻 - 遥控车系列
2. 星辉 - 遥控车系列
3. ...
- name: our_product
type: string
required: false
label: 我方产品
placeholder: 简述我方产品的定位和特点
- name: product_category
type: select
required: false
label: 产品类别
default: 玩具
options:
- 益智玩具
- 遥控玩具
- 毛绒玩具
- 童装
- 内衣
- 工艺品
- name: analysis_depth
type: select
required: false
label: 分析深度
default: 标准
options:
- 快速概览
- 标准
- 深度分析
steps:
# Step 1: 竞品信息整理
- id: organize_competitors
description: 整理竞品基本信息
action:
type: llm_generate
template: |
整理以下竞品信息:
产品类别: {{product_category}}
竞品信息:
```
{{competitors}}
```
请生成 JSON 格式:
{
"competitors": [
{
"name": "品牌/产品名",
"origin": "产地",
"product_line": "产品线",
"price_range": "价格区间",
"target_market": "目标市场",
"distribution": "渠道"
}
],
"market_landscape": "市场竞争格局概述"
}
input:
competitors: ${inputs.competitors}
product_category: ${inputs.product_category}
json_mode: true
temperature: 0.4
max_tokens: 2000
# Step 2: 多维度对比
- id: compare_dimensions
description: 多维度竞品对比分析
action:
type: llm_generate
template: |
对以下竞品进行多维度对比分析:
竞品信息: ${steps.organize_competitors.output}
我方产品: {{our_product}}
产品类别: ${inputs.product_category}
请生成 JSON 格式:
{
"comparison_matrix": [
{
"dimension": "设计风格",
"our": "我方评价",
"competitors": {"竞品A": "评价", "竞品B": "评价"}
},
{
"dimension": "产品功能",
"our": "",
"competitors": {}
},
{
"dimension": "价格定位",
"our": "",
"competitors": {}
},
{
"dimension": "渠道覆盖",
"our": "",
"competitors": {}
},
{
"dimension": "品牌认知",
"our": "",
"competitors": {}
}
],
"our_position": "我方市场定位评估",
"gaps": ["我方不足1", "我方不足2"],
"advantages": ["我方优势1", "我方优势2"]
}
input:
competitors_info: ${steps.organize_competitors.output}
our_product: ${inputs.our_product}
product_category: ${inputs.product_category}
json_mode: true
temperature: 0.5
max_tokens: 3000
# Step 3: 差异化建议
- id: differentiation_advice
description: 生成差异化产品建议
action:
type: llm_generate
template: |
基于竞品对比,生成差异化产品建议:
对比分析: ${steps.compare_dimensions.output}
我方优势: ${steps.compare_dimensions.output.advantages}
我方不足: ${steps.compare_dimensions.output.gaps}
请生成 JSON 格式:
{
"differentiation_strategies": [
{
"strategy": "差异化策略",
"description": "策略描述",
"implementation": "实施路径",
"investment": "投入评估(低/中/高)",
"time_to_market": "上市周期",
"expected_impact": "预期影响"
}
],
"product_suggestions": [
{
"suggestion": "产品建议",
"differentiator": "差异化点",
"target_segment": "目标客群",
"price_strategy": "定价策略"
}
],
"quick_wins": ["快速见效1", "快速见效2"],
"long_term_bets": ["长期布局1", "长期布局2"]
}
input:
comparison: ${steps.compare_dimensions.output}
json_mode: true
temperature: 0.7
max_tokens: 3000
# Step 4: 综合报告
- id: generate_report
description: 生成综合竞品分析报告
action:
type: llm_generate
template: |
生成综合竞品分析报告摘要:
请生成 JSON 格式报告:
{
"title": "竞品分析报告标题",
"executive_summary": "200字摘要",
"key_insights": ["核心洞察1", "核心洞察2", "核心洞察3"],
"top_recommendations": ["首要建议1", "首要建议2"],
"preview_text": "300字报告预览"
}
input:
competitors: ${steps.organize_competitors.output}
comparison: ${steps.compare_dimensions.output}
advice: ${steps.differentiation_advice.output}
json_mode: true
temperature: 0.5
max_tokens: 1500
outputs:
competitors: ${steps.organize_competitors.output}
comparison: ${steps.compare_dimensions.output}
advice: ${steps.differentiation_advice.output}
report: ${steps.generate_report.output}
on_error: stop
timeout_secs: 300

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# ZCLAW Pipeline - 供应链信息采集
# 输入采购需求,自动采集供应商信息并生成比价分析
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: supply-chain-collect
displayName: 供应链信息采集
category: design
industry: design-shantou
description: 输入采购需求,自动采集和整理供应商信息,生成比价分析和采购建议
tags:
- 汕头
- 供应链
- 采购
- 比价
icon: 🏭
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: material_type
type: select
required: true
label: 采购类别
options:
- 塑料原料(ABS/PP/PE)
- 电子元件
- 五金配件
- 包装材料
- 面料
- 辅料(拉链/纽扣/魔术贴)
- 模具加工
- 印刷服务
- 其他
- name: specifications
type: text
required: true
label: 规格要求
placeholder: |
描述所需材料的详细规格,例如:
- ABS塑料注塑级白色需通过EN71认证
- 或230T涤纶面料幅宽150cm防水处理
- name: quantity
type: string
required: false
label: 采购量
placeholder: 例如500kg/月 或 10000件
- name: quality_requirements
type: multi-select
required: false
label: 质量要求
default:
- ISO认证
options:
- ISO认证
- 环保认证
- 出口认证(EN71/ASTM)
- 食品级
- 阻燃要求
- 无特殊要求
- name: preferred_region
type: select
required: false
label: 供应商地域
default: 不限
options:
- 汕头本地
- 广东省内
- 长三角
- 不限
steps:
# Step 1: 需求解析
- id: parse_requirements
description: 解析采购需求为结构化规格
action:
type: llm_generate
template: |
解析以下采购需求:
采购类别: {{material_type}}
规格要求:
```
{{specifications}}
```
采购量: {{quantity}}
质量要求: {{quality_requirements}}
请生成 JSON 格式:
{
"material_category": "材料大类",
"detailed_specs": [
{"spec_name": "规格项", "spec_value": "要求值", "tolerance": "容差"}
],
"quality_standards": ["标准1", "标准2"],
"estimated_monthly_volume": "月采购量估计",
"critical_parameters": ["关键参数1", "关键参数2"],
"substitute_acceptable": "是否接受替代品"
}
input:
material_type: ${inputs.material_type}
specifications: ${inputs.specifications}
quantity: ${inputs.quantity}
quality_requirements: ${inputs.quality_requirements}
json_mode: true
temperature: 0.3
max_tokens: 2000
# Step 2: 供应商画像
- id: supplier_profiling
description: 生成理想供应商画像和市场概况
action:
type: llm_generate
template: |
为以下采购需求生成理想供应商画像:
需求规格: ${steps.parse_requirements.output}
地域偏好: {{preferred_region}}
请生成 JSON 格式:
{
"ideal_supplier_profile": {
"company_type": "工厂/贸易公司/均可",
"min_years_in_business": 3,
"production_capacity": "产能要求",
"certifications_required": ["必需认证1"],
"preferred_location": "优先地区",
"moq": "起订量要求"
},
"market_overview": {
"supplier_density": "供应商密度(丰富/一般/稀缺)",
"price_range": "市场价格区间估计",
"lead_time_range": "交货周期范围",
"market_trends": "市场趋势"
},
"potential_sources": [
{"source": "渠道", "description": "说明", "reliability": "可靠性"}
]
}
input:
requirements: ${steps.parse_requirements.output}
preferred_region: ${inputs.preferred_region}
json_mode: true
temperature: 0.5
max_tokens: 2500
# Step 3: 评估标准制定
- id: evaluation_criteria
description: 制定供应商评估标准
action:
type: llm_generate
template: |
为以下采购需求制定供应商评估标准:
需求规格: ${steps.parse_requirements.output}
供应商画像: ${steps.supplier_profiling.output}
请生成 JSON 格式:
{
"evaluation_dimensions": [
{
"dimension": "价格竞争力",
"weight": 30,
"scoring_criteria": "评分标准",
"data_needed": "需要收集的数据"
},
{
"dimension": "质量保证",
"weight": 30,
"scoring_criteria": "",
"data_needed": ""
},
{
"dimension": "交货能力",
"weight": 20,
"scoring_criteria": "",
"data_needed": ""
},
{
"dimension": "服务响应",
"weight": 10,
"scoring_criteria": "",
"data_needed": ""
},
{
"dimension": "资质认证",
"weight": 10,
"scoring_criteria": "",
"data_needed": ""
}
],
"must_have_requirements": ["必要条件1", "必要条件2"],
"nice_to_have": ["加分项1"],
"red_flags": ["风险信号1", "风险信号2"]
}
input:
requirements: ${steps.parse_requirements.output}
supplier_profile: ${steps.supplier_profiling.output}
json_mode: true
temperature: 0.4
max_tokens: 2000
# Step 4: 生成采购报告
- id: generate_report
description: 生成供应链信息采集报告
action:
type: llm_generate
template: |
生成供应链信息采集报告:
采购需求: ${steps.parse_requirements.output}
供应商画像: ${steps.supplier_profiling.output}
评估标准: ${steps.evaluation_criteria.output}
请生成 JSON 格式报告:
{
"title": "供应链信息采集报告",
"executive_summary": "200字摘要",
"specification_summary": "规格摘要",
"market_intelligence": "市场情报摘要",
"evaluation_framework": "评估框架摘要",
"next_steps": [
{"step": "下一步行动", "timeline": "时间线", "owner": "负责人"}
],
"preview_text": "300字报告预览"
}
input:
requirements: ${steps.parse_requirements.output}
suppliers: ${steps.supplier_profiling.output}
criteria: ${steps.evaluation_criteria.output}
json_mode: true
temperature: 0.5
max_tokens: 2000
outputs:
requirements: ${steps.parse_requirements.output}
supplier_profile: ${steps.supplier_profiling.output}
evaluation_criteria: ${steps.evaluation_criteria.output}
report: ${steps.generate_report.output}
on_error: stop
timeout_secs: 240

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# ZCLAW Pipeline - 设计趋势到方案
# 输入产品类别,自动采集趋势、匹配素材、生成设计方案
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: trend-to-design
displayName: 趋势→素材→方案
category: design
industry: design-shantou
description: 输入产品类别(玩具/服装/工艺品),自动采集市场趋势、匹配设计素材、生成初步设计方案
tags:
- 汕头
- 设计
- 趋势分析
- 玩具
- 服装
icon: 🎨
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: product_category
type: select
required: true
label: 产品类别
options:
- 益智玩具
- 遥控玩具
- 毛绒玩具
- 女童服装
- 男童服装
- 内衣
- 工艺品
- 文创产品
- name: target_market
type: select
required: false
label: 目标市场
default: 北美
options:
- 北美
- 欧洲
- 东南亚
- 中东
- 日韩
- 国内
- name: season
type: select
required: false
label: 季节/节日
default: 全年
options:
- 春季
- 夏季
- 秋季
- 冬季
- 圣诞节
- 万圣节
- 春节
- 全年
- name: style_preference
type: multi-select
required: false
label: 风格偏好
default:
- 现代简约
options:
- 现代简约
- 可爱卡通
- 科技未来
- 复古怀旧
- 自然生态
- 国潮
- name: budget_range
type: string
required: false
label: 预算范围
placeholder: 例如:单品成本 5-15 元
steps:
# Step 1: 市场趋势采集
- id: collect_trends
description: 采集目标市场和产品类别的市场趋势
action:
type: llm_generate
template: |
分析以下产品类别在目标市场的最新趋势:
产品类别: {{product_category}}
目标市场: {{target_market}}
季节/节日: {{season}}
请生成 JSON 格式趋势报告:
{
"market_overview": {
"market_size": "市场规模估计",
"growth_rate": "增长率",
"key_drivers": ["驱动因素1", "驱动因素2"]
},
"design_trends": [
{
"trend": "趋势名称",
"description": "趋势描述",
"popularity": "高/中/低",
"examples": ["代表产品/品牌1"]
}
],
"color_trends": ["流行色1", "流行色2", "流行色3"],
"material_trends": ["材质趋势1", "材质趋势2"],
"consumer_preferences": ["消费者偏好1", "消费者偏好2"],
"regulatory_notes": ["法规/安全标准1"]
}
input:
product_category: ${inputs.product_category}
target_market: ${inputs.target_market}
season: ${inputs.season}
json_mode: true
temperature: 0.6
max_tokens: 3000
# Step 2: 设计方向筛选
- id: design_direction
description: 基于趋势和偏好筛选设计方向
action:
type: llm_generate
template: |
基于市场趋势,筛选适合的设计方向:
产品类别: ${inputs.product_category}
目标市场: ${inputs.target_market}
风格偏好: {{style_preference}}
预算: {{budget_range}}
市场趋势: ${steps.collect_trends.output}
请生成 JSON 格式:
{
"recommended_directions": [
{
"direction": "设计方向",
"rationale": "推荐理由",
"target_age": "目标年龄",
"price_point": "建议定价",
"feasibility": "可行性评估",
"differentiation": "差异化亮点"
}
],
"color_palettes": [
{"name": "配色方案名", "colors": ["#颜色1", "#颜色2", "#颜色3"], "mood": "风格描述"}
],
"material_suggestions": ["材质建议1"],
"packaging_ideas": ["包装创意1"]
}
input:
product_category: ${inputs.product_category}
target_market: ${inputs.target_market}
style_preference: ${inputs.style_preference}
budget_range: ${inputs.budget_range}
trends: ${steps.collect_trends.output}
json_mode: true
temperature: 0.7
max_tokens: 3000
# Step 3: 设计方案生成
- id: generate_design
description: 生成具体设计方案
action:
type: llm_generate
template: |
基于筛选的设计方向,生成具体设计方案:
产品类别: ${inputs.product_category}
设计方向: ${steps.design_direction.output.recommended_directions}
配色: ${steps.design_direction.output.color_palettes}
请生成 JSON 格式方案:
{
"design_proposals": [
{
"name": "方案名称",
"concept": "设计理念",
"features": ["特征1", "特征2", "特征3"],
"color_scheme": "配色描述",
"dimensions": "建议尺寸",
"materials": "建议材质",
"key_selling_points": ["卖点1", "卖点2"],
"production_notes": "生产注意事项",
"estimated_cost": "成本估计"
}
]
}
input:
product_category: ${inputs.product_category}
directions: ${steps.design_direction.output}
budget_range: ${inputs.budget_range}
json_mode: true
temperature: 0.8
max_tokens: 3000
# Step 4: 方案评估
- id: evaluate_designs
description: 评估设计方案的竞争力和可行性
action:
type: llm_generate
template: |
评估以下设计方案:
市场趋势: ${steps.collect_trends.output}
设计方案: ${steps.generate_design.output}
请生成 JSON 格式评估:
{
"evaluations": [
{
"proposal_name": "方案名",
"market_fit": "市场契合度(高/中/低)",
"feasibility": "生产可行性(高/中/低)",
"uniqueness": "独特性(高/中/低)",
"cost_efficiency": "性价比(高/中/低)",
"overall_score": 85,
"strengths": ["优势1"],
"weaknesses": ["不足1"],
"improvement_suggestions": ["改进建议1"]
}
],
"recommendation": "综合推荐",
"next_steps": ["下一步1", "下一步2"]
}
input:
trends: ${steps.collect_trends.output}
designs: ${steps.generate_design.output}
json_mode: true
temperature: 0.5
max_tokens: 2500
outputs:
trends: ${steps.collect_trends.output}
directions: ${steps.design_direction.output}
designs: ${steps.generate_design.output}
evaluation: ${steps.evaluate_designs.output}
on_error: stop
timeout_secs: 300

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# ZCLAW Pipeline - 教案自动生成
# 输入课题和教学要求,自动生成完整教案(含教学目标、重难点、教学过程、板书设计)
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: lesson-plan-generator
displayName: 教案自动生成
category: education
industry: education
description: 输入课题和教学要求,自动生成含教学目标、重难点、教学过程、板书设计的完整教案
tags:
- 教育
- 教案
- 备课
- 教学设计
icon: 📋
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: topic
type: string
required: true
label: 课题名称
placeholder: 例如:光合作用的原理
validation:
min_length: 2
max_length: 100
- name: subject
type: select
required: false
label: 学科
default: 科学
options:
- 语文
- 数学
- 英语
- 物理
- 化学
- 生物
- 历史
- 地理
- 科学
- 信息科技
- name: grade_level
type: select
required: false
label: 年级
default: 初二
options:
- 小学三年级
- 小学四年级
- 小学五年级
- 小学六年级
- 初一
- 初二
- 初三
- 高一
- 高二
- 高三
- name: duration
type: select
required: false
label: 课时
default: 1课时(45分钟)
options:
- 1课时(45分钟)
- 2课时(90分钟)
- 半天(3课时)
- 全天(6课时)
- name: teaching_style
type: multi-select
required: false
label: 教学方法
default:
- 讲授法
- 讨论法
options:
- 讲授法
- 讨论法
- 实验法
- PBL项目式
- 翻转课堂
- 合作学习
steps:
# Step 1: 生成教学目标和重难点
- id: objectives_and_focus
description: 分析课题生成教学目标与重难点
action:
type: llm_generate
template: |
请为以下课题设计教学目标和重难点:
课题: {{topic}}
学科: {{subject}}
年级: {{grade_level}}
请生成 JSON 格式:
{
"knowledge_objectives": ["知识目标1", "知识目标2"],
"ability_objectives": ["能力目标1", "能力目标2"],
"emotion_objectives": ["情感目标1"],
"key_points": ["教学重点1", "教学重点2"],
"difficult_points": ["教学难点1", "教学难点2"],
"key_difficult_solutions": ["突破策略1", "突破策略2"]
}
input:
topic: ${inputs.topic}
subject: ${inputs.subject}
grade_level: ${inputs.grade_level}
json_mode: true
temperature: 0.5
max_tokens: 1500
# Step 2: 生成教学过程
- id: teaching_process
description: 设计完整教学过程
action:
type: llm_generate
template: |
基于以下教学目标,设计完整教学过程:
课题: ${inputs.topic}
学科: ${inputs.subject}
年级: ${inputs.grade_level}
课时: {{duration}}
教学方法: {{teaching_style}}
教学目标: ${steps.objectives_and_focus.output}
请生成 JSON 格式教学过程:
{
"phases": [
{
"name": "导入",
"duration_mins": 5,
"activities": ["活动描述"],
"teacher_actions": ["教师活动"],
"student_actions": ["学生活动"],
"purpose": "设计意图"
},
{
"name": "新课讲授",
"duration_mins": 20,
"activities": [],
"teacher_actions": [],
"student_actions": [],
"purpose": ""
},
{
"name": "巩固练习",
"duration_mins": 10,
"activities": [],
"teacher_actions": [],
"student_actions": [],
"purpose": ""
},
{
"name": "课堂小结",
"duration_mins": 5,
"activities": [],
"teacher_actions": [],
"student_actions": [],
"purpose": ""
},
{
"name": "布置作业",
"duration_mins": 5,
"activities": [],
"teacher_actions": [],
"student_actions": [],
"purpose": ""
}
]
}
input:
topic: ${inputs.topic}
subject: ${inputs.subject}
grade_level: ${inputs.grade_level}
duration: ${inputs.duration}
teaching_style: ${inputs.teaching_style}
objectives: ${steps.objectives_and_focus.output}
json_mode: true
temperature: 0.7
max_tokens: 4000
# Step 3: 生成板书设计和作业
- id: board_and_homework
description: 设计板书方案和分层作业
action:
type: llm_generate
template: |
为以下课程设计板书和作业:
课题: ${inputs.topic}
教学目标: ${steps.objectives_and_focus.output}
教学过程: ${steps.teaching_process.output}
请生成 JSON 格式:
{
"board_design": {
"layout": "板书结构描述",
"main_content": "主板书内容",
"supplementary": "副板书内容",
"key_formulas_or_diagrams": ["公式或图示1"]
},
"homework": {
"basic": ["基础作业1", "基础作业2"],
"intermediate": ["提高作业1"],
"advanced": ["拓展作业1"],
"estimated_time_mins": 30
}
}
input:
topic: ${inputs.topic}
objectives: ${steps.objectives_and_focus.output}
process: ${steps.teaching_process.output}
json_mode: true
temperature: 0.6
max_tokens: 2000
# Step 4: 生成教学反思预设
- id: reflection_prompts
description: 生成教学反思提示
action:
type: llm_generate
template: |
为以下课程生成教学反思提示问题:
课题: ${inputs.topic}
教学重点: ${steps.objectives_and_focus.output.key_points}
教学难点: ${steps.objectives_and_focus.output.difficult_points}
请生成 JSON 格式:
{
"reflection_questions": [
"教学目标是否达成?如何判断?",
"学生对难点的理解情况如何?",
"哪个教学环节效果最好?为什么?",
"下次可以改进的地方?"
],
"assessment_checklist": [
{"item": "检查项", "method": "检查方法"}
]
}
input:
topic: ${inputs.topic}
key_points: ${steps.objectives_and_focus.output.key_points}
difficult_points: ${steps.objectives_and_focus.output.difficult_points}
json_mode: true
temperature: 0.5
max_tokens: 1000
outputs:
objectives: ${steps.objectives_and_focus.output}
teaching_process: ${steps.teaching_process.output}
board_and_homework: ${steps.board_and_homework.output}
reflection: ${steps.reflection_prompts.output}
on_error: stop
timeout_secs: 240

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# ZCLAW Pipeline - 教研到测验一站式生成
# 输入教研主题,自动完成:文献调研 → 课件大纲 → 互动场景 → 课后测验
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: research-to-quiz
displayName: 教研→课件→测验
category: education
industry: education
description: 输入教研主题,自动生成文献摘要、课件大纲、互动场景和测验题目
tags:
- 教育
- 教研
- 课件生成
- 测验
icon: 🎓
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: topic
type: string
required: true
label: 教研主题
placeholder: 例如PBL 项目式学习在初中科学课中的应用
validation:
min_length: 4
max_length: 200
- name: subject
type: select
required: false
label: 学科
default: 综合
options:
- 语文
- 数学
- 英语
- 物理
- 化学
- 生物
- 历史
- 地理
- 科学
- 信息科技
- 综合
- name: grade_level
type: select
required: false
label: 学段
default: 初中
options:
- 小学低段(1-3)
- 小学高段(4-6)
- 初中
- 高中
- 大学
- 成人教育
- name: scene_count
type: number
required: false
label: 互动场景数
default: 4
validation:
min: 2
max: 10
- name: quiz_count
type: number
required: false
label: 测验题数
default: 5
validation:
min: 3
max: 20
steps:
# Step 1: 文献调研摘要
- id: literature_review
description: 针对教研主题生成文献综述和关键发现
action:
type: llm_generate
template: |
你是一位资深教育研究员。请针对以下教研主题生成文献综述:
主题: {{topic}}
学科: {{subject}}
学段: {{grade_level}}
请生成 JSON 格式的文献综述:
{
"title": "综述标题",
"summary": "200字以内概述",
"key_findings": [
{"finding": "核心发现", "source_type": "期刊/报告/政策", "implication": "实践启示"}
],
"trends": ["趋势1", "趋势2", "趋势3"],
"gaps": ["研究空白1", "研究空白2"]
}
input:
topic: ${inputs.topic}
subject: ${inputs.subject}
grade_level: ${inputs.grade_level}
json_mode: true
temperature: 0.6
max_tokens: 2500
# Step 2: 生成课件大纲
- id: generate_outline
description: 基于文献综述生成课件大纲
action:
type: llm_generate
template: |
基于以下文献综述,设计一节完整的课件大纲:
教研主题: ${inputs.topic}
学科: ${inputs.subject}
学段: ${inputs.grade_level}
文献综述关键发现:
${steps.literature_review.output.key_findings}
请生成 JSON 格式的课件大纲:
{
"title": "课件标题",
"objectives": ["教学目标1", "教学目标2", "教学目标3"],
"sections": [
{
"title": "章节标题",
"duration_mins": 10,
"type": "导入|讲解|互动|练习|总结",
"key_points": ["要点1", "要点2"]
}
],
"materials": ["教学材料1", "教学材料2"]
}
input:
topic: ${inputs.topic}
subject: ${inputs.subject}
grade_level: ${inputs.grade_level}
findings: ${steps.literature_review.output.key_findings}
json_mode: true
temperature: 0.7
max_tokens: 2000
# Step 3: 并行生成互动场景
- id: generate_scenes
description: 为课件各章节生成互动教学场景
action:
type: parallel
each: ${steps.generate_outline.output.sections}
max_workers: 4
step:
id: scene_item
action:
type: llm_generate
template: |
为以下课件章节设计互动教学场景:
主题: ${inputs.topic}
章节: {{item.title}}
类型: {{item.type}}
要点: {{item.key_points}}
学段: ${inputs.grade_level}
请生成 JSON 格式的互动场景:
{
"section_title": "{{item.title}}",
"scene_type": "讨论|实验|角色扮演|小组竞赛|案例分析",
"description": "场景描述",
"teacher_guide": "教师引导语",
"student_prompt": "学生任务提示",
"duration_mins": 5,
"materials_needed": ["材料1"],
"assessment": "评价方式"
}
input:
item: ${item}
json_mode: true
temperature: 0.8
max_tokens: 1000
# Step 4: 生成测验题目
- id: generate_quiz
description: 根据课件内容生成测验
action:
type: llm_generate
template: |
基于以下课件内容生成测验题:
教研主题: ${inputs.topic}
教学目标: ${steps.generate_outline.output.objectives}
场景数: ${steps.generate_scenes.output | length}
题目数量: {{quiz_count}}
学段: ${inputs.grade_level}
请生成 JSON 格式测验:
{
"quiz_title": "测验标题",
"questions": [
{
"type": "single_choice|multi_choice|true_false|short_answer",
"question": "题目内容",
"options": ["A", "B", "C", "D"],
"correct": "A",
"explanation": "解析",
"difficulty": "基础|提高|挑战",
"related_objective": "对应教学目标"
}
]
}
input:
topic: ${inputs.topic}
objectives: ${steps.generate_outline.output.objectives}
scene_count: ${steps.generate_scenes.output | length}
quiz_count: ${inputs.quiz_count}
grade_level: ${inputs.grade_level}
json_mode: true
temperature: 0.5
max_tokens: 3000
# Step 5: 组装完整输出
- id: assemble_output
description: 组装教研→课件→测验完整包
action:
type: llm_generate
template: |
请将以下内容整合为一份完整的教学方案摘要:
文献综述: ${steps.literature_review.output.summary}
课件大纲: ${steps.generate_outline.output.title}
互动场景数: ${steps.generate_scenes.output | length}
测验题数: ${inputs.quiz_count}
生成 JSON 格式摘要:
{
"title": "方案标题",
"literature_summary": "文献综述摘要",
"course_outline": "课件大纲摘要",
"total_interactive_scenes": 0,
"total_quiz_questions": 0,
"estimated_duration_mins": 0,
"preview_text": "300字方案预览"
}
input:
literature: ${steps.literature_review.output}
outline: ${steps.generate_outline.output}
scenes: ${steps.generate_scenes.output}
quiz: ${steps.generate_quiz.output}
quiz_count: ${inputs.quiz_count}
json_mode: true
temperature: 0.5
max_tokens: 1500
outputs:
literature: ${steps.literature_review.output}
outline: ${steps.generate_outline.output}
scenes: ${steps.generate_scenes.output}
quiz: ${steps.generate_quiz.output}
summary: ${steps.assemble_output.output}
on_error: stop
timeout_secs: 300
max_workers: 4

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# ZCLAW Pipeline - 学情分析报告
# 输入班级学生成绩/表现数据,自动生成学情分析报告和分层教学建议
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: student-analysis
displayName: 学情分析报告
category: education
industry: education
description: 输入学生成绩或表现数据,自动分析学情并生成分层教学建议
tags:
- 教育
- 学情分析
- 分层教学
- 数据分析
icon: 📊
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: student_data
type: text
required: true
label: 学生数据
placeholder: |
粘贴成绩表或表现描述,支持格式:
姓名,分数 或 姓名,等级,A/B/C 或自由文本描述
- name: subject
type: string
required: false
label: 科目
default: 综合
placeholder: 例如:数学
- name: analysis_focus
type: multi-select
required: false
label: 分析维度
default:
- score_distribution
- weak_points
- group_recommendation
options:
- score_distribution
- weak_points
- group_recommendation
- improvement_plan
- parent_communication
- name: class_name
type: string
required: false
label: 班级名称
placeholder: 例如:初一(3)班
steps:
# Step 1: 数据解析与统计
- id: parse_data
description: 解析输入数据并生成基础统计
action:
type: llm_generate
template: |
请解析以下学生数据并生成基础统计:
科目: {{subject}}
班级: {{class_name}}
学生数据:
```
{{student_data}}
```
请生成 JSON 格式统计:
{
"total_students": 0,
"score_distribution": {
"excellent": {"count": 0, "range": "90-100", "percentage": 0},
"good": {"count": 0, "range": "80-89", "percentage": 0},
"average": {"count": 0, "range": "60-79", "percentage": 0},
"below_average": {"count": 0, "range": "<60", "percentage": 0}
},
"class_average": 0,
"median_score": 0,
"std_deviation": "高/中/低"
}
input:
student_data: ${inputs.student_data}
subject: ${inputs.subject}
class_name: ${inputs.class_name}
json_mode: true
temperature: 0.3
max_tokens: 2000
# Step 2: 薄弱环节识别
- id: identify_weakness
description: 识别学生群体的薄弱知识点
action:
type: llm_generate
template: |
基于以下学情统计,识别薄弱环节:
科目: ${inputs.subject}
统计数据: ${steps.parse_data.output}
学生数据:
```
${inputs.student_data}
```
请生成 JSON 格式分析:
{
"weak_areas": [
{
"area": "薄弱知识点",
"affected_group": "受影响群体",
"severity": "高/中/低",
"possible_cause": "可能原因"
}
],
"strong_areas": ["优势领域1", "优势领域2"],
"polarization": "是否存在两极分化,程度如何"
}
input:
subject: ${inputs.subject}
stats: ${steps.parse_data.output}
student_data: ${inputs.student_data}
json_mode: true
temperature: 0.4
max_tokens: 2000
# Step 3: 分层教学建议
- id: group_recommendation
description: 生成分层教学建议
action:
type: llm_generate
template: |
基于以下学情分析,生成分层教学建议:
科目: ${inputs.subject}
统计数据: ${steps.parse_data.output}
薄弱环节: ${steps.identify_weakness.output}
请生成 JSON 格式建议:
{
"groups": [
{
"name": "培优组",
"criteria": "选拔标准",
"size": "建议人数",
"teaching_focus": "教学重点",
"activities": ["建议活动1", "建议活动2"],
"resources": ["推荐资源1"]
},
{
"name": "提高组",
"criteria": "选拔标准",
"size": "建议人数",
"teaching_focus": "教学重点",
"activities": ["建议活动1"],
"resources": ["推荐资源1"]
},
{
"name": "基础组",
"criteria": "选拔标准",
"size": "建议人数",
"teaching_focus": "教学重点",
"activities": ["建议活动1"],
"resources": ["推荐资源1"]
}
],
"shared_activities": ["全班共同活动1"],
"timeline": "建议实施周期"
}
input:
subject: ${inputs.subject}
stats: ${steps.parse_data.output}
weakness: ${steps.identify_weakness.output}
json_mode: true
temperature: 0.6
max_tokens: 2500
# Step 4: 生成报告
- id: generate_report
description: 生成完整学情分析报告
action:
type: llm_generate
template: |
基于以上分析,生成一份完整的学情分析报告摘要。
班级: ${inputs.class_name}
科目: ${inputs.subject}
请生成 JSON 格式报告:
{
"title": "学情分析报告标题",
"executive_summary": "200字摘要",
"data_overview": "数据概览描述",
"key_findings": ["发现1", "发现2", "发现3"],
"recommendations": ["建议1", "建议2", "建议3"],
"preview_text": "300字报告预览"
}
input:
class_name: ${inputs.class_name}
subject: ${inputs.subject}
stats: ${steps.parse_data.output}
weakness: ${steps.identify_weakness.output}
groups: ${steps.group_recommendation.output}
json_mode: true
temperature: 0.5
max_tokens: 2000
outputs:
statistics: ${steps.parse_data.output}
weakness_analysis: ${steps.identify_weakness.output}
group_recommendation: ${steps.group_recommendation.output}
report: ${steps.generate_report.output}
on_error: stop
timeout_secs: 240

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# ZCLAW Pipeline - 医疗数据报告生成
# 输入科室运营数据,自动生成结构化运营分析报告
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: healthcare-data-report
displayName: 医疗数据报告生成
category: healthcare
industry: healthcare
description: 输入科室运营数据(门诊量、住院、手术、费用等),自动生成运营分析报告
tags:
- 医疗
- 数据报告
- 运营分析
- 行政管理
icon: 📈
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: data_content
type: text
required: true
label: 运营数据
placeholder: |
粘贴科室运营数据,支持格式:
指标名称,数值 或自由文本描述
例如:门诊量 1250人次同比增长8%
- name: report_period
type: select
required: false
label: 报告周期
default: 月报
options:
- 周报
- 月报
- 季报
- 半年报
- 年报
- name: department
type: string
required: false
label: 科室
placeholder: 例如:内科、外科、急诊科
- name: focus_areas
type: multi-select
required: false
label: 分析重点
default:
- volume_analysis
- quality_metrics
- financial
options:
- volume_analysis
- quality_metrics
- financial
- patient_satisfaction
- resource_utilization
steps:
# Step 1: 数据解析
- id: parse_data
description: 解析原始数据为结构化指标
action:
type: llm_generate
template: |
解析以下医疗运营数据为结构化指标:
报告周期: {{report_period}}
科室: {{department}}
原始数据:
```
{{data_content}}
```
请生成 JSON 格式:
{
"metrics": {
"outpatient": {"value": 0, "unit": "人次", "yoy_change": "同比变化"},
"inpatient": {"value": 0, "unit": "人次", "yoy_change": ""},
"surgery": {"value": 0, "unit": "台次", "yoy_change": ""},
"bed_occupancy": {"value": "0%", "unit": "", "yoy_change": ""},
"average_stay": {"value": "0天", "unit": "", "yoy_change": ""},
"revenue": {"value": "0万", "unit": "", "yoy_change": ""}
},
"data_quality": "数据完整/部分缺失",
"missing_fields": ["缺失指标"]
}
input:
data_content: ${inputs.data_content}
report_period: ${inputs.report_period}
department: ${inputs.department}
json_mode: true
temperature: 0.3
max_tokens: 2000
# Step 2: 同比环比分析
- id: trend_analysis
description: 同比环比趋势分析
action:
type: llm_generate
template: |
对以下医疗指标进行趋势分析:
科室: ${inputs.department}
报告周期: ${inputs.report_period}
结构化数据: ${steps.parse_data.output}
请生成 JSON 格式:
{
"trends": [
{
"metric": "指标名称",
"current": "当前值",
"previous": "上期值",
"change_rate": "变化率",
"trend": "上升/下降/持平",
"assessment": "正常/需关注/预警"
}
],
"highlights": ["亮点1", "亮点2"],
"concerns": ["关注点1", "关注点2"],
"overall_assessment": "整体评估"
}
input:
department: ${inputs.department}
report_period: ${inputs.report_period}
data: ${steps.parse_data.output}
json_mode: true
temperature: 0.4
max_tokens: 2500
# Step 3: 质量指标分析
- id: quality_analysis
description: 医疗质量指标分析
action:
type: llm_generate
template: |
基于运营数据进行医疗质量分析:
科室: ${inputs.department}
运营数据: ${steps.parse_data.output}
趋势分析: ${steps.trend_analysis.output}
请生成 JSON 格式:
{
"quality_indicators": [
{"indicator": "质量指标", "value": "当前值", "benchmark": "参考标准", "status": "达标/未达标"}
],
"safety_events": "安全事件统计",
"improvement_areas": ["改进方向1", "改进方向2"],
"recommendations": ["质量改进建议1", "质量改进建议2"]
}
input:
department: ${inputs.department}
data: ${steps.parse_data.output}
trends: ${steps.trend_analysis.output}
json_mode: true
temperature: 0.4
max_tokens: 2000
# Step 4: 生成完整报告
- id: generate_report
description: 生成完整运营分析报告
action:
type: llm_generate
template: |
生成完整的医疗运营分析报告:
科室: ${inputs.department}
周期: ${inputs.report_period}
请生成 JSON 格式报告:
{
"title": "报告标题",
"executive_summary": "200字摘要",
"data_overview": "数据概览",
"key_findings": ["关键发现1", "关键发现2", "关键发现3"],
"action_items": ["行动建议1", "行动建议2"],
"preview_text": "300字报告预览"
}
input:
department: ${inputs.department}
report_period: ${inputs.report_period}
data: ${steps.parse_data.output}
trends: ${steps.trend_analysis.output}
quality: ${steps.quality_analysis.output}
json_mode: true
temperature: 0.5
max_tokens: 2000
outputs:
parsed_data: ${steps.parse_data.output}
trends: ${steps.trend_analysis.output}
quality: ${steps.quality_analysis.output}
report: ${steps.generate_report.output}
on_error: stop
timeout_secs: 240

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# ZCLAW Pipeline - 医疗行政会议纪要
# 输入会议内容,自动生成结构化纪要、决议事项、待办追踪和会签单
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: healthcare-meeting-minutes
displayName: 医疗会议→纪要→待办
category: healthcare
industry: healthcare
description: 专为医疗行政会议设计,自动生成结构化纪要、决议事项追踪表和会签单
tags:
- 医疗
- 会议纪要
- 行政管理
- 待办追踪
icon: 📝
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: meeting_content
type: text
required: true
label: 会议内容
placeholder: 粘贴会议记录、转录文本或笔记
- name: meeting_title
type: string
required: false
label: 会议名称
placeholder: 例如2026年第一季度医疗质量委员会
- name: meeting_type
type: select
required: false
label: 会议类型
default: 院务会
options:
- 院务会
- 科主任会
- 医疗质量委员会
- 药事委员会
- 伦理委员会
- 感控委员会
- 科室例会
- 专项讨论
- name: participants
type: string
required: false
label: 参会人员
placeholder: 例如:张院长、李主任、王科长
steps:
# Step 1: 提取会议信息
- id: extract_info
description: 提取会议基本信息
action:
type: llm_generate
template: |
从医疗行政会议内容中提取基本信息:
会议名称: {{meeting_title}}
会议类型: {{meeting_type}}
会议内容:
```
{{meeting_content}}
```
请生成 JSON 格式:
{
"meeting_topic": "会议议题",
"date": "会议日期",
"location": "会议地点",
"chairperson": "主持人",
"recorder": "记录人",
"attendees": [{"name": "姓名", "title": "职务/科室"}],
"quorum": "是否满足法定人数"
}
input:
meeting_content: ${inputs.meeting_content}
meeting_title: ${inputs.meeting_title}
meeting_type: ${inputs.meeting_type}
participants: ${inputs.participants}
json_mode: true
temperature: 0.3
max_tokens: 1500
# Step 2: 提取议题讨论
- id: extract_discussions
description: 提取各议题讨论要点
action:
type: llm_generate
template: |
从医疗行政会议内容中提取各议题讨论要点:
会议类型: ${inputs.meeting_type}
会议内容:
```
${inputs.meeting_content}
```
请生成 JSON 格式:
{
"agenda_items": [
{
"topic": "议题名称",
"presenter": "汇报人",
"key_points": ["要点1", "要点2"],
"discussion_summary": "讨论摘要",
"different_opinions": ["不同意见1"],
"data_mentioned": ["提及的数据/指标1"]
}
]
}
input:
meeting_content: ${inputs.meeting_content}
meeting_type: ${inputs.meeting_type}
json_mode: true
temperature: 0.4
max_tokens: 3000
# Step 3: 提取决议和待办
- id: extract_resolutions
description: 提取决议事项和待办追踪
action:
type: llm_generate
template: |
从医疗行政会议内容中提取决议和待办:
议题讨论: ${steps.extract_discussions.output}
请生成 JSON 格式:
{
"resolutions": [
{
"resolution": "决议内容",
"resolution_type": "通过|修改后通过|暂缓|否决",
"conditions": "附加条件",
"votes": "表决情况(如适用)"
}
],
"action_items": [
{
"task": "待办事项",
"assignee": "责任人",
"department": "责任科室",
"deadline": "完成时限",
"priority": "紧急/重要/一般",
"status": "新增/跟进",
"follow_up_meeting": "下次汇报时间"
}
],
"pending_issues": ["遗留问题1", "遗留问题2"]
}
input:
discussions: ${steps.extract_discussions.output}
json_mode: true
temperature: 0.4
max_tokens: 3000
# Step 4: 生成会签单
- id: generate_signoff
description: 生成会签单和纪要正文
action:
type: llm_generate
template: |
生成医疗行政会议纪要正文和会签单:
会议信息: ${steps.extract_info.output}
议题讨论: ${steps.extract_discussions.output}
决议待办: ${steps.extract_resolutions.output}
请生成 JSON 格式:
{
"minutes_text": "纪要正文(格式化的完整纪要文本)",
"sign_off": {
"prepared_by": "纪要整理人",
"reviewed_by": "审核人",
"approved_by": "签发人",
"distribution_list": ["抄送科室1", "抄送科室2"],
"confidentiality": "公开/内部/机密"
},
"preview_text": "200字纪要摘要"
}
input:
info: ${steps.extract_info.output}
discussions: ${steps.extract_discussions.output}
resolutions: ${steps.extract_resolutions.output}
json_mode: true
temperature: 0.5
max_tokens: 3000
outputs:
meeting_info: ${steps.extract_info.output}
discussions: ${steps.extract_discussions.output}
resolutions: ${steps.extract_resolutions.output}
signoff: ${steps.generate_signoff.output}
on_error: stop
timeout_secs: 180

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# ZCLAW Pipeline - 政策摘要与合规报告
# 输入医疗政策文件,自动生成政策摘要、影响分析和合规行动清单
apiVersion: zclaw/v1
kind: Pipeline
metadata:
name: policy-compliance-report
displayName: 政策→摘要→合规报告
category: healthcare
industry: healthcare
description: 输入医疗政策文件或链接,自动生成政策摘要、对本院/科室的影响分析、合规行动清单
tags:
- 医疗
- 政策解读
- 合规
- 行政管理
icon: 📑
author: ZCLAW
version: 1.0.0
spec:
inputs:
- name: policy_content
type: text
required: true
label: 政策内容
placeholder: 粘贴政策文件全文或关键条款
- name: policy_name
type: string
required: false
label: 政策名称
placeholder: 例如:关于推进分级诊疗制度建设的指导意见
- name: institution_type
type: select
required: false
label: 机构类型
default: 综合医院
options:
- 综合医院
- 专科医院
- 社区卫生中心
- 乡镇卫生院
- 民营医院
- 其他
- name: department
type: string
required: false
label: 关注科室
placeholder: 例如:医务科、医保办、信息科(可多科室)
- name: compliance_deadline
type: string
required: false
label: 合规截止日期
placeholder: 例如2026年6月30日
steps:
# Step 1: 政策摘要
- id: policy_summary
description: 生成政策核心要点摘要
action:
type: llm_generate
template: |
请对以下医疗政策生成摘要:
政策名称: {{policy_name}}
政策内容:
```
{{policy_content}}
```
请生成 JSON 格式摘要:
{
"title": "政策标题",
"issuing_authority": "发文机关",
"effective_date": "生效日期",
"core_requirements": [
{"requirement": "核心要求", "detail": "具体内容", "priority": "高/中/低"}
],
"key_changes": ["主要变化1", "主要变化2"],
"scope": "适用范围",
"summary_200": "200字摘要"
}
input:
policy_content: ${inputs.policy_content}
policy_name: ${inputs.policy_name}
json_mode: true
temperature: 0.3
max_tokens: 2500
# Step 2: 影响分析
- id: impact_analysis
description: 分析政策对本院/科室的影响
action:
type: llm_generate
template: |
分析以下政策对医疗机构的实际影响:
政策摘要: ${steps.policy_summary.output}
机构类型: {{institution_type}}
关注科室: {{department}}
请生成 JSON 格式分析:
{
"direct_impacts": [
{"area": "受影响领域", "impact": "具体影响", "severity": "高/中/低"}
],
"indirect_impacts": ["间接影响1", "间接影响2"],
"affected_workflows": [
{"workflow": "受影响的工作流程", "change": "需要的变化", "effort": "实施难度"}
],
"risk_assessment": {
"compliance_risks": ["合规风险1"],
"operational_risks": ["运营风险1"],
"financial_impact": "财务影响评估"
}
}
input:
summary: ${steps.policy_summary.output}
institution_type: ${inputs.institution_type}
department: ${inputs.department}
json_mode: true
temperature: 0.4
max_tokens: 3000
# Step 3: 合规行动清单
- id: action_items
description: 生成合规行动清单和时间线
action:
type: llm_generate
template: |
基于影响分析,生成合规行动清单:
政策摘要: ${steps.policy_summary.output}
影响分析: ${steps.impact_analysis.output}
合规截止日期: {{compliance_deadline}}
请生成 JSON 格式清单:
{
"immediate_actions": [
{"action": "立即行动", "owner": "责任部门", "deadline": "截止日期", "priority": "紧急"}
],
"short_term_actions": [
{"action": "短期行动(1-3月)", "owner": "责任部门", "deadline": "截止日期", "priority": "高/中"}
],
"long_term_actions": [
{"action": "长期行动(3-12月)", "owner": "责任部门", "milestones": ["里程碑1"]}
],
"budget_estimation": {
"min_cost": "最低成本估计",
"max_cost": "最高成本估计",
"major_items": ["大项支出1"]
}
}
input:
summary: ${steps.policy_summary.output}
impact: ${steps.impact_analysis.output}
compliance_deadline: ${inputs.compliance_deadline}
json_mode: true
temperature: 0.4
max_tokens: 3000
# Step 4: 生成合规报告
- id: generate_report
description: 生成完整合规报告
action:
type: llm_generate
template: |
生成完整的政策合规报告摘要:
政策: ${inputs.policy_name}
机构: ${inputs.institution_type}
请生成 JSON 格式报告:
{
"title": "合规报告标题",
"executive_summary": "200字摘要",
"compliance_status": "当前合规状态评估",
"gap_analysis": "差距分析摘要",
"total_action_items": 0,
"urgent_count": 0,
"preview_text": "300字报告预览"
}
input:
policy_name: ${inputs.policy_name}
institution_type: ${inputs.institution_type}
summary: ${steps.policy_summary.output}
impact: ${steps.impact_analysis.output}
actions: ${steps.action_items.output}
json_mode: true
temperature: 0.5
max_tokens: 1500
outputs:
summary: ${steps.policy_summary.output}
impact: ${steps.impact_analysis.output}
actions: ${steps.action_items.output}
report: ${steps.generate_report.output}
on_error: stop
timeout_secs: 240