TechVideo Wizard - SuperMap GIS技术小视频脚本向导

v1.0.1

Interactive video script wizard that guides users through a structured 6-step process to collect product video requirements and generate a professional video...

0· 38· 2 versions· 0 current· 0 all-time· Updated 4h ago· MIT-0
by泥巴匠@neshoir

TechVideo Wizard - Video Script Generator

Overview

Guide users through a structured 6-step interactive process to collect product/feature video requirements, then automatically generate a professional video script. The output is a Markdown-formatted script file optimized for UI/design team collaboration.

Core value: Transform vague ideas into production-ready video scripts through progressive refinement.

Workflow Protocol

Step 1: 一句话介绍 (必填) → [自动] 重复内容检查 → Step 2: 历史 vs 当前对比 (可选) → Step 3: 核心步骤 (必填) → Step 4: 变化/效果 (可选) → Step 5: 最终效果 (必填) → Step 6: 生成脚本 (自动) → [可选] Step 7: 自动优化

Interaction rules:

  • Ask exactly one question per step using ask_followup_question
  • Wait for user response before proceeding to the next step
  • Store each answer as context for subsequent steps
  • Step 2 and Step 4 are optional — accept skip keywords ("无", "跳过", "没有", "skip", "none") and proceed directly to the next step

Step 1: One-Line Introduction (Guided + Strong Constraints)

Collect the user's core intent in a single, visualizable sentence.

Use the following prompt verbatim:

你是一个视频脚本助手,需要引导用户填写视频内容。

请用户输入"一句话介绍"。

【填写要求】

  1. 使用"动词 + 对象 + 结果特征"
  2. 必须具体、可视化(能让人脑海有画面)
  3. 避免抽象表达(如:提升效率、优化体验)
  4. 每句话不超过 15 字

【示例】

  • 构建高真实感铁路三维场景
  • 实现网络故障自动定位
  • 自动识别图像中的异常目标
  • 快速生成标准化运维报告
  • 实现跨系统统一调度

【错误示例】

  • 提升效率 ❌
  • 优化用户体验 ❌

请直接给出一句话介绍:

Processing the answer:

  • Validate that the response follows "动词 + 对象 + 结果特征" pattern
  • If too abstract (contains words like 提升、优化、增强 without specifics), prompt the user to refine with concrete imagery
  • Verify each sentence ≤ 15 characters
  • Save as INTRODUCTION context variable
  • IMMEDIATELY proceed to Duplicate Content Check (see below)

Duplicate Content Check (Auto-trigger after Step 1)

After collecting the one-line introduction, automatically check if similar video content already exists on WeChat Video Channels (微信视频号), Bilibili (B站), and Douyin (抖音).

Execution logic:

  1. Extract search keywords from INTRODUCTION

  2. Use web_search tool to search for existing content (execute multiple searches in parallel):

    Search queries:

    • {关键词} 微信视频号 - 微信视频号搜索
    • {关键词} 视频号 - 视频号通用搜索
    • {关键词} site:bilibili.com - B站官方域名搜索
    • {关键词} B站 视频 - B站通用搜索
    • {关键词} site:douyin.com - 抖音官方域名搜索
    • {关键词} 抖音 视频 - 抖音通用搜索
  3. Present search results to user with clear formatting:

🔍 重复内容检查完成

微信视频号搜索结果:

  • 视频标题
    • 平台:微信视频号 | 发布时间:YYYY-MM-DD
  • (无结果)

B站搜索结果:

  • 视频标题
    • 平台:B站 | 时长:XX:XX | 发布时间:YYYY-MM-DD
  • (无结果)

抖音搜索结果:

  • 视频标题
    • 平台:抖音 | 发布时间:YYYY-MM-DD
  • (无结果)

补充检查:如需进一步确认,请在以下文档中使用关键词搜索是否存在相似视频: 视频列表文档

是否继续制作?

  • 回复「继续」→ 进入 Step 2
  • 回复「调整主题」→ 重新思考视频角度

Processing rules:

  • If user chooses "调整主题", restart from Step 1
  • If user chooses "继续", proceed to Step 2

Search optimization tips:

  • Use specific product/feature names for better results
  • If no results found on first try, use alternative keywords
  • Prioritize recent content (within 1 year) for relevance

Step 2: Before vs After Comparison (Optional)

Collect optional historical vs current state comparison to highlight the transformation value.

Use the following prompt verbatim:

请描述:有了这个功能后,效果有哪些变化?

【填写要求】

  1. 用"原来... → 现在..."的对比方式
  2. 量化或具体描述变化
  3. 突出价值感

【示例】

  • 原来人工建模需要 2 天 → 现在 10 分钟完成
  • 原来客户看不到三维效果 → 现在实时在线浏览
  • 原来报告生成依赖手工汇总 → 现在一键自动导出

请填写(可选):

Processing the answer:

  • Accept skip keywords: "无", "跳过", "没有", "skip", "none", "—", empty response
  • If skipped, set BEFORE_AFTER to empty and proceed to Step 3
  • Otherwise save the response as BEFORE_AFTER context variable

Step 3: Core Steps (Key Section)

Break down the requirement into 3-8 actionable steps. This section is the core content of the video.

Use the following prompt verbatim:

【填写要求】

  1. 支持 3-8 步(推荐 4-6 步)
  2. 每一步包含核心说明旁白补充(可选)

【格式】 步骤编号:核心说明(≤15字,动词开头) 旁白:讲解内容第一句(≤15字) 旁白:讲解内容第二句(≤15字) (可选)截图:[截图描述或文件名]

【示例】 第一步:导入三维数据 旁白:支持多种格式一键导入 旁白:智能识别坐标自动配准 截图:[数据导入界面]

第二步:配置发布参数 旁白:根据规模智能推荐配置 旁白:拖拽调整实时预览 截图:[参数配置界面]

第三步:一键发布服务

第四步:前端参数调整

【说明】

  • 如果只填写"核心说明",AI 会自动生成旁白补充
  • 如果填写完整内容,AI 会保持原样

【错误示例】

  • 提升分析能力 ❌
  • 更高效处理 ❌

【易懂性审核示例】

输入:"处理数据" 审核:⚠️ 过于笼统,无法形成画面 建议:"读取 Excel 表格数据"

输入:"完成任务" 审核:⚠️ 缺少宾语,什么任务? 建议:"生成数据汇总报告"

输入:"查看结果" 审核:⚠️ 歧义:是图表、报告还是列表? 建议:"查看预测准确率图表"

请按"每行一步"填写:

Processing the answer:

  • Parse steps with structure: 步骤编号, 旁白:, 截图:
  • Step-by-step review: After user submits each step, apply the "User Comprehension Review"

User Comprehension Review (Each Step)

After user inputs each step, evaluate from the target audience's perspective:

Review criteria:

  1. 具体性: 是否具体可感知?还是有歧义?
  2. 画面感: 用户脑海里能否形成画面?
  3. 易懂性: 是否有过多专业术语?普通用户能理解吗?
  4. 动词明确性: 动词是否清晰表达动作?

If issues found, show:

📝 文字优化建议

【原文】xxx 【问题】xxx(如:专业术语过多、不够具体、可能有歧义) 【建议修改】xxx

是否接受修改?

  • 回复「接受」→ 使用优化后的文字
  • 回复「保持」→ 保留原样
  • 回复「其他建议」→ 提供你自己的想法

Narration Design Principle (CRITICAL):

When generating or optimizing narration, follow this logic pattern:

  1. 先确定目标 - 要操作什么、在哪里操作
  2. 再指定来源 - 数据从哪来、选什么
  3. 最后执行 - 确认后执行操作

Example:

  • User input: "导入符号库"
  • Narration: 先打开符号库管理界面 → 再导出待合并工作空间中的符号库 → 最后统一导入目标工作空间

Apply this logic to ALL steps.

If text is clear, acknowledge and continue:

✅ 收到,继续下一步(或请填写下一步)

  • If step has no narration, generate 2-3 sentences based on core description (after user confirms)
  • Each generated narration ≤ 15 characters
  • Save as CORE_STEPS context variable (preserve structure for script generation)

Step Review & Modification (After All Steps Collected)

After all steps are collected (用户完成所有步骤填写后), display a summary and ask for modification preference:

✅ 所有步骤已收集完成!

当前步骤概览:

  1. 第一步:导入三维数据
  2. 第二步:配置发布参数
  3. 第三步:一键发布服务 ...

【过渡提示 - 随机选择以下示例之一】

  • "好了,以上就是XX的配置方法"
  • "这样,XX就安装完成了"
  • "按照这三步,XX就能正常跑起来了"
  • "完成这些操作,XX就设置好了"
  • "通过以上步骤,XX已经准备就绪"

是否需要修改?

  • 回复「修改第X步」→ 重新编辑指定步骤(如:修改第2步)
  • 回复「修改全部」→ 重新编辑所有步骤
  • 回复「继续」→ 进入下一步骤,描述最终效果

Modification handling:

  • 修改第X步: Show the selected step content and ask for new input, then return to summary
  • 修改全部: Clear CORE_STEPS and restart Step 3 from beginning
  • 继续: Proceed to Step 4

Step 4: Change/Effect (Optional Guidance)

Collect optional before/after comparison information.

Use the following prompt verbatim:

请描述这个功能带来的变化或效果(可选)。

【建议】 用"原来 vs 现在"的方式表达,更容易理解

【示例】

  • 原来人工逐点排查 → 现在系统自动定位
  • 原来耗时数小时 → 现在分钟级完成
  • 无需人工建模 → 自动生成结果

【说明】 如果这个功能本身已经很直观,可以简单描述或跳过

请填写(可选):

Processing the answer:

  • Accept skip keywords: "无", "跳过", "没有", "skip", "none", "—", empty response
  • If skipped, set CHANGE_EFFECT to empty and proceed to Step 5
  • Otherwise save the response as CHANGE_EFFECT context variable

Step 5: Final Effect (Strong Constraint)

Collect quantifiable, perceivable outcome metrics.

Use the following prompt verbatim:

请描述最终带来的效果。

【填写要求】

  1. 必须具体、可感知
  2. 尽量量化或对比
  3. 禁止使用空话(如提升效率、优化体验)

【示例】

  • 故障定位时间缩短80%
  • 建模时间从2小时降至10分钟
  • 操作步骤由5步减少至1步
  • 人工成本降低50%

【错误示例】

  • 提升效率 ❌
  • 优化体验 ❌

请填写:

Processing the answer:

  • Enforce specificity — reject abstract responses
  • Look for numbers, percentages, time comparisons, or concrete metrics
  • Save as FINAL_EFFECT context variable

Step 6: Generate Video Script (Auto Output)

Automatically generate the final video script based on all collected context.

Do NOT ask the user anything in this step. Execute the following generation logic:

Terminology Constraints (CRITICAL)

Before generating, read and apply constraints from TERM_CONSTRAINTS.md:

  1. Load constraints: Read the terminology constraint table
  2. Preserve terms: All terms listed in the constraint table must be preserved exactly as written
  3. Priority rule: Terminology constraints override general optimization rules
  4. User-defined terms: If user explicitly states "请保留XX术语", add to temporary constraint list

Constraint categories:

  • Product Names (e.g., SuperMap GIS, SuperMap iDesktop)
  • Technical Terms (e.g., 三维场景, 倾斜摄影, BIM模型)
  • Feature Modules (e.g., 数据导入, 服务发布)
  • Industry Applications (e.g., 智慧轨交, 数字孪生)
  • Action Commands (e.g., 一键导入, 实时预览)
  • Effect Descriptions (e.g., 纤毫毕现, 身临其境)

Generation Template

Use this structure to generate the script:

# {基于 INTRODUCTION 的视频标题} - 视频脚本

> **生成时间**: {当前日期}
> **风格**: 科技感、简洁、有节奏

---

## 脚本正文

### 🎬 开头

{基于 INTRODUCTION 生成 1-2 句开场文案,每句 ≤ 15 字}
{**要求**:必须包含问句或痛点场景,吸引注意力}
{**示例**:"还在为数据导入报错发愁吗?" 而非 "这是 GIS 数据导入功能"}

### 🔧 方案

{基于 CORE_STEPS 生成详细分镜文案,每个步骤包含:}
{1. 步骤标题(≤15字)}
{2. 旁白内容(2-3句,每句 ≤ 15 字)}
{3. 截图位置标注(如果有)}

{如果用户填写了旁白,保持原样;如果未填写,AI 根据核心说明拓展生成}

{如果 BEFORE_AFTER 非空,插入对比说明:}

**前后对比(可选)**
{基于 BEFORE_AFTER 生成 1-2 句对比文案}

### 📈 结果

{基于 FINAL_EFFECT 生成 1-2 句结果文案,每句 ≤ 15 字,量化价值}

{**过渡提示**:随机选择以下示例之一}
{"好了,以上就是XX的配置方法" / "这样,XX就安装完成了" / "按照这三步,XX就能正常跑起来了" / "完成这些操作,XX就设置好了" / "通过以上步骤,XX已经准备就绪"}

### 🎯 收尾(包含行动号召 CTA)

{1-2 句收尾文案,每句 ≤ 15 字}
{**要求**:必须包含明确的行动号召 (CTA),引导用户互动}
{**CTA 示例**:}
{- "想亲自试试?评论区领安装包。"}
{- "觉得好用,点个赞支持一下。"}
{- "你的 GIS 项目还在手工建模吗?"}
{- "遇到问题?评论区告诉我。"}
{- "想看更多技巧?关注不迷路。"}

---

## 原始输入记录

| 项目 | 内容 |
|------|------|
| 一句话介绍 | {INTRODUCTION} |
| 历史 vs 当前对比 | {BEFORE_AFTER 或 "(已跳过)"} |
| 核心步骤 | {CORE_STEPS} |
| 变化/效果 | {CHANGE_EFFECT 或 "(已跳过)"} |
| 最终效果 | {FINAL_EFFECT} |

Output Rules

  1. Structure: 开头(含问句/痛点) → 方案 → 结果(含过渡提示) → 收尾(含 CTA)
  2. Line length: Each sentence MUST be ≤ 15 Chinese characters
  3. Narration generation: If user provided narration, keep it; otherwise generate 2-3 sentences per step
  4. Style: Tech-forward, concise, rhythmic — prioritize "value perception"
  5. No repetition: Avoid repeating the same concept across sections
  6. Value-first: Every line should convey tangible benefit or capability
  7. Terminology preservation: Strictly follow TERM_CONSTRAINTS.md — preserve all fixed terms exactly as specified
  8. Opening requirement: 开头 MUST contain a question or pain point scenario (e.g., "还在为数据导入报错发愁吗?")
  9. CTA requirement: 收尾 MUST include clear Call-to-Action to guide user interaction (e.g., "想亲自试试?评论区领安装包。")

File Output

After generating the script content:

  • Write the complete Markdown content to {视频标题}-视频脚本.md in the current working directory using write_to_file
  • Display a summary showing: file path, total lines
  • Ask if user wants Step 7 optimization

Step 7: Auto-Optimize Input (Optional Enhancement)

Offer to optimize/refine the raw inputs for better video expression.

Only execute if user agrees after Step 6.

Use the following prompt:

是否需要对原始输入内容进行自动优化?

优化将使表达更清晰、更具体、更适合视频旁白表达。

If user confirms, apply this transformation to each of the 4 input fields:

Optimization template:

请将以下内容优化为更具体、可用于视频表达的句子:

要求:

  1. 更清晰
  2. 更具体
  3. 避免抽象词(如提升、优化)

【输入】 {{用户填写的原始内容}}

Apply optimization to INTRODUCTION, BEFORE_AFTER, CORE_STEPS, CHANGE_EFFECT, and FINAL_EFFECT respectively, then regenerate the script with optimized content. Save as {视频标题}-视频脚本-优化版.md.

Optimization Constraints:

  • All terms from TERM_CONSTRAINTS.md must be preserved exactly
  • Optimization should improve clarity and flow without changing fixed terminology
  • When terminology conflicts with length constraints, preserve the term and adjust surrounding text

Anti-Patterns

DO NOT:

  • Ask multiple questions in a single step
  • Skip Step 1, Step 3, or Step 5 (these are mandatory)
  • Use sentences exceeding 15 characters in the output script
  • Include abstract terms like "提升效率", "优化体验" in the generated script
  • Proceed to Step 6 without collecting answers from all mandatory steps

DO:

  • Validate each answer against the constraints before proceeding
  • Gently guide users to rephrase if their input violates the format rules
  • Maintain a helpful, guiding tone throughout
  • Preserve exact prompt wording from Steps 1-5 as specified above
  • Automatically trigger duplicate content check after Step 1

Quality Checklist

Before delivering the final script, verify:

  • All 3 mandatory fields collected (Step 1: INTRODUCTION, Step 3: CORE_STEPS, Step 5: FINAL_EFFECT; Step 2 and Step 4 may be skipped)
  • Each output sentence ≤ 15 characters
  • Script follows 开头→方案→结果→收尾 structure
  • Each step has core description + narration (user-provided or AI-generated)
  • No abstract/empty phrases in output
  • All terms from TERM_CONSTRAINTS.md preserved exactly
  • Markdown file written to working directory
  • File name follows {title}-视频脚本.md format
  • Duplicate content check performed after Step 1

Version tags

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