wechat-article-writer

name	wechat-article-writer
description	Generates WeChat Official Account articles with AI content creation and infographic generation. Use when user asks to "write WeChat article", "公众号文章", or wants automated article creation.
version	1.0.0

WeChat Article Writer

⚠️ 重要配置说明

默认使用AI工具内置能力创作，无需配置API Key！

本skill适用于Claude Code、Cursor、OpenClaw、OpenCode、Antigravity等所有支持skills的AI工具平台。默认使用AI工具的内置能力进行内容创作，用户无需配置任何API Key即可使用。只有当用户明确需要使用外部API（如特定图像生成服务）时，才需要配置相应的API Key。

优先级：

1. 优先使用AI工具内置能力完成内容创作
2. 仅在特定需求下使用外部API（如高质量图像生成）
3. 简化用户操作，零配置即可开始创作

支持平台：

• Claude Code
• Cursor
• OpenClaw
• OpenCode
• Antigravity
• 其他支持skills的AI工具

Overview

Automated WeChat Official Account article creation skill that generates high-quality articles with AI-powered content creation and infographic generation. The skill uses a multi-agent collaboration system with specialized agents for titles, structure, and content, plus a three-layer review process to ensure professional-quality articles suitable for public account publishing.

Key Features:

• Multi-Agent System: Specialized agents for titles (100+ techniques), structure design, and content writing
• Three-Layer Review: Theme consistency, design & language, AI removal & colloquial optimization
• Multi-Version Output: 4 variants (full/condensed × markdown/plain text)

See AGENTS.md for detailed agent specifications and workflow.

When to Use

Suitable scenarios:

• Creating WeChat Official Account articles from scratch
• Writing technical tutorials, industry analysis, or knowledge sharing articles
• Generating articles with infographics and visual content
• Producing SEO-optimized articles with structured formatting

Not suitable for:

• Short social media posts (use xhs-generator instead)
• Academic papers requiring strict citations
• News reporting requiring real-time verification
• Extremely specialized domain knowledge requiring expert review

Usage

Direct invocation in AI tool:

/wechat-article-writer "AI工具推荐:提升10倍效率的5个神器"

With custom word count:

/wechat-article-writer "AI工具推荐:提升10倍效率的5个神器" --word-count 3000

Disable web search:

/wechat-article-writer "AI工具推荐:提升10倍效率的5个神器" --no-search

The AI tool will automatically:

1. Load preferences from EXTEND.md (if configured)
2. Analyze the topic and present a plan for confirmation
3. Search the web for latest information (if supported and enabled)
4. Generate 3 engaging titles using Title Specialist Agent (100+ techniques)
5. Design article structure using Structure Specialist Agent
6. Write article content using Content Specialist Agent
7. Three-layer Review:
   • Review 1: Theme consistency check
   • Review 2: Design & language check
   • Review 3: AI removal & colloquial optimization
8. Generate 4 article variants (full/condensed × markdown/plain text)
9. Generate 2 PNG infographic images (auto-generated using infographic-generator skill)
10. Save all outputs to the appropriate directory structure
11. Provide a summary with next steps

Result: A complete, publish-ready article package with text + images!

Customization via EXTEND.md:

Users can create skills/wechat-article-writer/EXTEND.md to customize:

• Default writing style (knowledge, emotional, tutorial, review)
• Voice (professional, casual, friendly)
• Target audience
• Infographic style preferences
• Article length and structure preferences

Workflow

This skill is executed by AI tools (Claude Code, Cursor, OpenClaw, etc.) using their built-in capabilities.

Multi-Agent System: This skill uses a multi-agent collaboration system for article generation. See AGENTS.md for detailed agent specifications.

When user invokes /wechat-article-writer, the AI tool should:

Phase 1: Setup & Analysis

• Step 0: Load Preferences - Read skills/wechat-article-writer/EXTEND.md if exists, apply default preferences
• Step 1: Content Analysis - Analyze topic, determine article type, target audience, and key points
• Step 1.5: Web Research (Optional) - If AI tool supports web search, search for latest information on the topic
• Step 2: Smart Confirm - Present analysis results to user for confirmation before generation

Phase 2: Multi-Agent Article Generation

• Step 3: Generate Titles - Use Title Specialist Agent to generate 3 engaging titles with 100+ techniques
• Step 4: Design Structure - Use Structure Specialist Agent to design article framework and outline
• Step 5: Generate Content - Use Content Specialist Agent to write article based on structure and titles
• Step 6: Review 1 - Theme Consistency - Check if content aligns with central theme
• Step 7: Review 2 - Design & Language - Check for typos, grammar, and design issues
• Step 8: Review 3 - AI Removal & Colloquial Optimization - Remove AI traces and make content natural

⚠️ 重要:子代理调用实现

本系统使用Agent工具调用专业子代理,确保真正的专业分工和质量提升。

子代理配置文件位置:

• 标题专家: skills/wechat-article-writer/agents/title-specialist.md
• 结构专家: skills/wechat-article-writer/agents/structure-specialist.md
• 内容专家: skills/wechat-article-writer/agents/content-specialist.md
• Review专家: skills/wechat-article-writer/agents/review-specialist.md

调用原则:

1. 每个子代理有独立的角色定位和专业知识
2. 输入完整上下文,不依赖会话历史
3. 输出结构化结果,便于后续处理
4. 失败时有降级策略

Phase 3: Multi-Version Generation

• Step 9: Generate 4 Article Versions - Generate multiple versions for different use cases:
  • Full Markdown version (5000 words)
  • Condensed Markdown version (1000 words)
  • Full Plain Text version (WeChat compatible)
  • Condensed Plain Text version (WeChat compatible, 1000 words)
• Step 10: Generate Infographic Descriptions - Create detailed descriptions for 2 infographics
• Step 11: Generate PNG Images - Use infographic-generator skill to generate actual PNG images

Phase 4: Output & Summary

• Step 12: Save Outputs - Save all generated content to wechat-articles/{topic-slug}/ directory
• Step 13: Output Summary - Present final results with file locations and next steps

Detailed Execution Guide

For AI tools executing this skill:

Step 0: Load Preferences

Read skills/wechat-article-writer/EXTEND.md if it exists. Apply these default preferences if not configured:

---
default_style: knowledge
default_voice: professional
target_audience: "大众读者"
infographic_style: notion
word_count_limit: 5000
enable_web_search: true
need_title_variants: 3
need_summary: true
---

Step 1: Content Analysis

Analyze the user's topic and determine:

1. Article Type: knowledge | emotional | tutorial | review
2. Target Audience: Who will read this article?
3. Content Framework: Choose appropriate structure:
   • Problem-Solution-Example (for tutorials)
   • What-Why-How (for knowledge articles)
   • Story-Insight-Action (for emotional articles)
   • Overview-Analysis-Conclusion (for reviews)
4. Key Points: 3-5 main points to cover

Step 1.5: Web Research (Optional)

Intelligent web research with priority-based search selection:

Execute web search to gather latest information using the best available method:

1. Web Search Priority (automatically select the best available method):

   Priority 1: Exa AI MCP (强制优先 - 最佳质量)

   • 检查Exa AI MCP服务器配置: claude mcp list | grep exa
   • 如果可用 → 强制使用 mcp__exa__web_search_exa 工具
   • 优势：
     • 🎯 高精度AI驱动的搜索引擎
     • 🚀 实时信息检索，质量最高
     • 📊 清晰的结构化结果
     • 💡 强大的语义理解能力
   • 实现：await mcp__exa__web_search_exa({ query: searchQuery, numResults: 8 })
   • ⚠️ 重要规则：即使其他搜索工具可用，只要检测到Exa AI，必须优先使用

   Priority 2: Claude Code WebSearch Tool

   • 检查 WebSearch 工具在环境中是否可用
   • 如果可用且Exa AI不可用 → 使用内置WebSearch工具
   • 实现：await WebSearch({ query: searchQuery })
   • 注意：仅在Exa AI不可用时使用此选项

   Priority 3: Cursor/OpenCode/OpenClaw Built-in Capabilities

   • 这些工具集成了网络搜索功能
   • 使用其原生搜索能力
   • 在上述工具都不可用时使用

   Priority 4: Graceful Fallback

   • 如果没有检测到网络搜索能力 → 使用AI知识库
   • 无错误，无缝体验

2. Execute search (if capability detected AND enable_web_search is true):

   When to search:

   • ✅ Web search capability available (from priority check)
   • ✅ enable_web_search is true (default) or user hasn't disabled it
   • ✅ User hasn't used --no-search flag

   How to search:

   • Generate 2-3 relevant search queries based on topic
   • Execute searches using the highest priority available method:
     • Exa AI: mcp__exa__web_search_exa({ query: query, numResults: 8 })
     • WebSearch: WebSearch({ query: query })
   • Collect latest information, data, statistics, and examples

3. Handle results:

   • Success: Organize findings into research summary

     • Key findings and insights
     • Recent developments or trends
     • Relevant statistics or data
     • Notable examples or case studies

Implementation example for Claude Code with Exa AI:

// Pseudo-code for intelligent search selection
if (enable_web_search && !no_search_flag) {
  try {
    // Priority 1: Try Exa AI MCP (best quality)
    if (hasExaAIMCP()) {
      const results = await mcp__exa__web_search_exa({
        query: searchQueries,
        numResults: 8
      });
      saveResearch(results);
    }
    // Priority 2: Fall back to WebSearch tool
    else if (typeof WebSearch !== 'undefined') {
      const results = await WebSearch({ query: searchQueries });
      saveResearch(results);
    }
    // Priority 3: Use built-in capabilities (Cursor/OpenCode)
    else if (hasBuiltInSearch()) {
      const results = await builtInSearch(searchQueries);
      saveResearch(results);
    }
    // Priority 4: Graceful fallback
    else {
      // Continue without web research
    }
  } catch (error) {
    // Search failed, continue without research
  }
}

User control:

• Command line: /wechat-article-writer "topic" --no-search
• Configuration: Set enable_web_search: false in EXTEND.md

Exa AI Setup (Recommended for best quality):

# Configure Exa AI MCP server
claude mcp add exa-search "https://api.exa.ai/mcp?key=YOUR_EXA_API_KEY" -t http

# Get your API key at https://exa.ai
# Free tier available with generous usage limits

Step 2: Smart Confirm

Present analysis to user:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 内容分析
  主题: {topic}
  类型: {type} | 风格: {style}
  框架: {framework}
  受众: {audience}
  字数限制: {word_count_limit}字
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔍 联网搜索
  状态: {已启用/已禁用/不支持}
  结果: {已获取X条最新信息/跳过}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎨 推荐方案
  风格: {style}
  信息图: {infographic_style} (2张)
  标题: {title_count}个备选
  摘要: 自动生成
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

是否继续？(Y/n)

Wait for user confirmation before proceeding.

Step 3: Generate Titles (Using Title Specialist Agent)

调用标题专家子代理生成标题

作为主代理,你需要调用标题专家来生成专业标题。以下是具体执行步骤:

3.1 准备输入参数

从前面的步骤中提取以下信息:

• 主题: 从用户输入的主题
• 目标受众: 从Step 1分析得到的目标受众
• 文章风格: 从用户偏好或默认配置
• 字数要求: 15-25字

3.2 调用标题专家

使用Agent工具调用标题专家,按照以下prompt格式:

你现在是【标题专家】,专门为微信公众号文章创作高转化率的标题。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/title-specialist.md

输入参数:
- 主题: {从用户输入提取的主题}
- 目标受众: {目标受众}
- 文章风格: {风格}
- 字数要求: 15-25字

请严格按照 title-specialist.md 中的规范输出,包括:
1. 生成3个标题,每个标题标注使用的技巧和理由
2. 推荐1个最佳标题并说明推荐理由

3.3 处理输出

解析标题输出:

标题专家会返回Markdown格式的输出,包含:

**标题1**: {标题内容}
- **技巧**: {技巧名称}
- **理由**: {为什么有效}

**标题2**: ...

**标题3**: ...

**推荐**: 标题{N}
**推荐理由**: {为什么推荐}

处理步骤:

1. 提取3个标题的内容
2. 记录每个标题对应的技巧和理由
3. 找到"推荐"部分,记录推荐标题的内容
4. 验证标题长度是否为15-25字

保存输出:

• 将标题专家的完整输出保存到: wechat-articles/{topic-slug}/titles.md
• 记录推荐标题的内容,用于下一步骤

3.4 质量检查

• 生成了3个标题
• 每个标题标注了技巧和理由
• 有明确的推荐标题
• 标题长度符合要求(15-25字)

3.5 错误处理

如果标题专家失败:

• 使用降级方案: 生成默认标题 {主题} - 完整指南
• 记录失败原因
• 继续下一步骤

如果输出格式不完整:

• 提取可用的标题信息
• 手动选择第一个标题作为推荐
• 标注"部分输出"

Step 4: Design Structure (Using Structure Specialist Agent)

调用结构专家子代理设计结构

作为主代理,你需要调用结构专家来设计文章结构。以下是具体执行步骤:

4.1 准备输入参数

• 主题: 从用户输入的主题
• 选定标题: 从Step 3得到的推荐标题
• 目标受众: 从Step 1分析得到的目标受众
• 文章风格: 从用户偏好或默认配置
• 字数要求: 默认5000字或用户指定

4.2 调用结构专家

使用Agent工具调用结构专家,按照以下prompt格式:

你现在是【结构专家】,专门为微信公众号文章设计清晰的逻辑框架和段落架构。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/structure-specialist.md

输入参数:
- 主题: {主题}
- 选定标题: {从Step 3得到的推荐标题}
- 目标受众: {目标受众}
- 文章风格: {风格}
- 字数要求: {字数}字

请严格按照 structure-specialist.md 中的规范输出,包括:
1. 选择合适的文章类型并说明理由
2. 提炼中心思想(一句话概括)
3. 设计完整的文章结构大纲(开头、主体、结尾)
4. 分配各部分字数

4.3 处理输出

解析结构输出:

结构专家会返回Markdown格式的输出,包含:

**文章类型**: {类型名称}
**选择理由**: {为什么选择这个类型}

**中心思想**: {一句话概括}

**文章结构大纲**:

**开头部分**
- 主要内容: {...}
- 目标: {...}
- 字数: {N}字

**主体部分**
- 段落1: {...}
- 段落2: {...}
...

**结尾部分**
- 主要内容: {...}
- 字数: {N}字

处理步骤:

1. 提取文章类型和选择理由
2. 提取中心思想(一句话)
3. 提取完整的结构大纲
4. 验证各部分字数分配是否合理

保存输出:

• 将结构专家的完整输出保存到: wechat-articles/{topic-slug}/structure.md
• 记录中心思想,用于后续Review验证

4.4 质量检查

• 选择了合适的文章类型
• 提炼了清晰的中心思想
• 设计了完整的结构大纲
• 字数分配合理

4.5 错误处理

如果结构专家失败:

• 使用降级方案: 采用"总分总"结构
• 生成默认大纲: 开头(15%) + 主体(70%) + 结尾(15%)
• 记录失败原因

如果中心思想不明确:

• 根据主题和标题手动提炼中心思想
• 标注"手动提炼" model: 'sonnet' });

// 解析输出 const structure = parseStructureOutput(structureResult); saveToFile(wechat-articles/${topicSlug}/structure.md, structureResult);

// 提取中心思想用于后续Review const centralTheme = structure.centralTheme;

**输出位置**: `wechat-articles/{topic-slug}/structure.md`

**质量检查:**
- [ ] 选择了合适的文章类型
- [ ] 提炼了清晰的中心思想
- [ ] 设计了完整的结构大纲
- [ ] 字数分配合理

### Step 5: Generate Content (Using Content Specialist Agent)

**调用内容专家子代理撰写内容**

作为主代理,你需要调用内容专家来撰写文章内容。以下是具体执行步骤:

#### 5.1 准备输入参数

- **主题**: 从用户输入的主题
- **选定标题**: 从Step 3得到的推荐标题
- **文章结构**: 从Step 4得到的结构大纲(完整Markdown)
- **目标受众**: 从Step 1分析得到的目标受众
- **文章风格**: 从用户偏好或默认配置

#### 5.2 调用内容专家

使用Agent工具调用内容专家,按照以下prompt格式:

你现在是【内容专家】,专门根据结构大纲和标题撰写高质量文章内容。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/content-specialist.md

输入参数:

• 主题: {主题}
• 选定标题: {从Step 3得到的推荐标题}
• 文章结构: {从Step 4得到的完整结构大纲}
• 目标受众: {目标受众}
• 文章风格: {风格}

请严格按照 content-specialist.md 中的规范输出,确保:

1. 完全遵循结构大纲
2. 内容支撑标题承诺
3. 段落简短(2-4句),易于阅读
4. 有具体案例和数据支撑
5. 符合微信公众号写作规范

#### 5.3 处理输出

**保存内容:**
- 将内容专家的完整输出保存到: `wechat-articles/{topic-slug}/content-initial.md`
- 记录内容长度和段落数

#### 5.4 质量检查

- [ ] 内容符合结构大纲
- [ ] 围绕中心思想展开
- [ ] 有具体案例和数据
- [ ] 段落简短易读(2-4句)
- [ ] 符合字数要求

#### 5.5 错误处理

**如果内容专家失败:**
- 使用降级方案: 根据结构大纲生成简化内容
- 记录失败原因
- 标注"简化版本"

**如果内容偏离结构:**
- 记录偏离部分
- 在后续Review中修正

### Step 6: Review 1 - Theme Consistency (Using Review Specialist Agent)

**调用Review专家执行中心思想一致性检查**

作为主代理,你需要调用Review专家执行第一层质量检查。以下是具体执行步骤:

#### 6.1 准备输入参数

- **中心思想**: 从Step 4结构大纲中提取的中心思想
- **文章内容**: 从Step 5生成的初始内容

#### 6.2 调用Review专家

使用Agent工具调用Review专家,按照以下prompt格式:

你现在是【Review专家】,专门执行文章质量检查。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/review-specialist.md

现在执行【Review 1: 中心思想一致性检查】

输入参数:

• 中心思想: {从Step 4提取的中心思想}
• 文章内容: {从Step 5生成的文章内容}

请按照 review-specialist.md 中 Review 1 的规范输出:

1. 评估结果(通过/需修改)和置信度(0-100)
2. 问题列表(如有偏离主题的内容,标注位置)
3. 具体修改建议
4. 验证标准

如果需要修改,请明确指出问题位置和修改方向。

#### 6.3 处理输出

**解析Review输出:**

Review专家会返回包含评估结果的输出:

```markdown
**评估结果**: {通过/需修改}
**置信度**: {0-100}

**问题列表**:
- 问题1: {描述} (位置: 第N段)
- 问题2: ...

**修改建议**: {...}

保存输出:

• 将Review 1的完整输出保存到: wechat-articles/{topic-slug}/review-1.md

6.4 Review循环机制

如果评估结果为"需修改":

1. 检查重试次数:

   • 维护重试计数器(初始为0)
   • 如果重试次数 < 3,继续修改
   • 如果重试次数 ≥ 3,标记"部分通过",继续Step 7

2. 调用内容专家修改内容:

   使用Agent工具调用内容专家:

   你现在是【内容专家】,需要根据Review 1的反馈优化内容。
   
   请阅读你的角色配置: skills/wechat-article-writer/agents/content-specialist.md
   
   输入参数:
   - 初始内容: {当前文章内容}
   - Review 1结果: {Review 1的完整输出}
   
   请根据Review 1的问题列表和修改建议优化内容,然后输出优化后的完整文章。
   
   当前重试次数: {N}/3
   优化策略: {根据重试次数选择: 第1次直接修改/第2次分析根源/第3次全面重写}
   

3. 更新重试计数器: 重试次数 + 1

4. 重新执行Review 1: 返回Step 6.2

如果评估结果为"通过":

• 继续Step 7

6.5 错误处理

如果Review专家失败:

• 使用降级方案: 标注"未经Review 1检查"
• 继续Step 7

如果Review超时(>60秒):

• 记录超时
• 标注"Review 1超时"
• 继续Step 7

6.6 质量阈值优化(可选)

引入质量阈值,避免过度Review:

• 如果置信度 ≥ 80分,即使"需修改"也可选择通过
• 记录"高分通过"和修改建议
• 继续Step 7

这样可以减少不必要的重试,提升性能

Step 7: Review 2 - Design & Language (Using Review Specialist Agent)

调用Review专家执行设计与语言检查

作为主代理,你需要调用Review专家执行第二层质量检查。以下是具体执行步骤:

7.1 准备输入参数

• 文章内容: 当前最新的文章内容(可能已通过Review 1修改)

7.2 调用Review专家

使用Agent工具调用Review专家,按照以下prompt格式:

你现在是【Review专家】,专门执行文章质量检查。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/review-specialist.md

现在执行【Review 2: 设计与语言检查】

输入参数:
- 文章内容: {当前文章内容}

请按照 review-specialist.md 中 Review 2 的规范输出:
1. 评估结果(通过/需修改)和置信度(0-100)
2. 问题列表(错别字、语法错误、语义不通等,标注位置)
3. 具体修改建议
4. 验证标准

7.3 处理输出

保存输出:

• 将Review 2的完整输出保存到: wechat-articles/{topic-slug}/review-2.md

7.4 Review循环机制

如果评估结果为"需修改":

执行与Review 1相同的循环逻辑:

1. 检查重试次数(最多3次)
2. 调用内容专家根据Review 2反馈修改
3. 更新重试计数器
4. 重新执行Review 7.2

如果评估结果为"通过":

• 继续Step 8

7.5 错误处理

如果Review专家失败:

• 标注"未经Review 2检查"
• 继续Step 8

如果Review超时(>60秒):

• 记录超时
• 标注"Review 2超时"
• 继续Step 8

7.6 质量阈值优化(可选)

• 如果置信度 ≥ 80分,即使"需修改"也可选择通过
• 记录"高分通过"和修改建议
• 继续Step 8

Step 8: Review 3 - AI Removal & Colloquial Optimization (Using Review Specialist Agent)

调用Review专家执行去AI化与口语化优化

作为主代理,你需要调用Review专家执行第三层质量检查。以下是具体执行步骤:

8.1 准备输入参数

• 文章内容: 当前最新的文章内容(可能已通过Review 1和Review 2修改)
• 目标受众: 从Step 1分析得到的目标受众

8.2 调用Review专家

使用Agent工具调用Review专家,按照以下prompt格式:

你现在是【Review专家】,专门执行文章质量检查。

请阅读你的角色配置文件: skills/wechat-article-writer/agents/review-specialist.md

现在执行【Review 3: 去AI化与口语化优化】

输入参数:
- 文章内容: {当前文章内容}
- 目标受众: {目标受众}

请按照 review-specialist.md 中 Review 3 的规范输出:
1. 评估结果(通过/需修改)和置信度(0-100)
2. AI痕迹列表(过度结构化、空洞表达等,标注位置)
3. 口语化建议(具体给出优化前后对比)
4. 验证标准

8.3 处理输出

保存输出:

• 将Review 3的完整输出保存到: wechat-articles/{topic-slug}/review-3.md

8.4 Review循环机制

如果评估结果为"需修改":

执行与Review 1相同的循环逻辑:

1. 检查重试次数(最多3次)
2. 调用内容专家根据Review 3反馈修改
3. 更新重试计数器
4. 重新执行Step 8.2

如果评估结果为"通过":

• 准备生成最终优化版本

8.5 生成最终优化版本

Review全部通过后,调用内容专家生成最终版本:

使用Agent工具调用内容专家:

你现在是【内容专家】,需要根据三层Review的反馈生成最终优化版本。

请阅读你的角色配置: skills/wechat-article-writer/agents/content-specialist.md

输入参数:
- 初始内容: {当前文章内容}
- Review 1结果: {Review 1的输出}
- Review 2结果: {Review 2的输出}
- Review 3结果: {Review 3的输出}

请整合所有三层Review的修改建议,输出最终的优化文章内容。

要求:
1. 整合所有有效的修改建议
2. 确保不引入新问题
3. 保持文章完整性和连贯性

保存最终内容:

• 将最终优化版本作为后续多版本生成的基础

8.6 错误处理

如果Review专家失败:

• 标注"未经Review 3检查"
• 使用当前内容继续Step 9

如果Review超时(>60秒):

• 记录超时
• 标注"Review 3超时"
• 继续Step 9

8.7 质量阈值优化(可选)

• 如果置信度 ≥ 80分,即使"需修改"也可选择通过
• 记录"高分通过"和修改建议
• 继续Step 9

---

Review循环机制总结:

每层Review最多重试3次:

• 第1次修改: 根据问题列表直接修改
• 第2次修改: 分析问题根源,针对性修改
• 第3次修改: 全面审查,系统性修改

如果3次后仍未完全通过,标记为"部分通过",记录未解决问题,继续下一步。这样可以避免死循环,同时保证质量。

性能优化建议:

• 引入质量阈值(≥80分即可通过)
• 设置超时限制(每层Review最多60秒)
• 并行执行Review 1和Review 2(可选)

---

Step 9: Generate Article Versions

• The outline structure
• User's voice preferences (professional/casual/friendly)
• Word count limit: Stay within the specified word count limit (default 5000 words)
• Research integration: If web research was conducted, incorporate relevant findings into the article
• WeChat formatting best practices:
  • Use emoji in section headers (📌 💡 🎯 📊 ✅)
  • Keep paragraphs short (2-4 sentences)
  • Use bold for emphasis
  • Include practical examples

Word count management:

• Monitor word count during generation
• If approaching limit, prioritize essential content
• Ensure conclusion section is included even if abbreviated
• Note: Word count refers to Chinese characters, not English words

Using research materials (if Step 1.5 was executed):

• Integrate latest data and statistics from research
• Reference recent developments or trends discovered
• Cite specific examples or case studies found
• Ensure information is accurate and up-to-date

Save to: wechat-articles/{topic-slug}/article.md

Step 4.5: Generate Article Variants (WeChat Compatibility)

Why: WeChat Official Account articles do not support Markdown formatting. Generate multiple versions for different use cases.

Generate 3 additional versions:

1. 1000-Word Condensed Version (Markdown)

Purpose: Quick-read version for users who want the key insights without reading the full article.

Process:

• Extract the most important 3-4 points from the full article
• Maintain the core message and value proposition
• Keep Markdown formatting for blog/platform publication
• Word count: ~1000 Chinese characters (±10%)

Content guidelines:

• Focus on the most impactful insights
• Remove detailed examples and explanations
• Keep section headers and structure
• Maintain readability and flow

Save to: wechat-articles/{topic-slug}/article-1000.md

2. 1000-Word Condensed Version (Plain Text)

Purpose: Direct copy-paste to WeChat editor without formatting issues.

Process:

• Use the same content as the 1000-word Markdown version
• Remove all Markdown formatting:
  • Remove # headers → Use plain text with line breaks
  • Remove **bold** → Just plain text
  • Remove *italic* → Just plain text
  • Remove - list markers → Use plain text
  • Remove [text](url) links → Just keep text
  • Remove code blocks → Use plain text
• Keep emojis in section headers (微信支持emoji)
• Word count: ~1000 Chinese characters (±10%)

Format example:

标题：文章标题

引言段落...

📌 核心要点一
内容描述...

📌 核心要点二
内容描述...

📌 核心要点三
内容描述...

总结...

Save to: wechat-articles/{topic-slug}/article-1000-plain.txt

3. Full-Length Plain Text Version

Purpose: Complete article content without Markdown, ready for WeChat publication.

Process:

• Use the full article content from Step 4
• Remove all Markdown formatting:
  • Remove # headers → Use plain text with line breaks
  • Remove **bold** → Just plain text
  • Remove *italic* → Just plain text
  • Remove - list markers → Use plain text
  • Remove [text](url) links → Just keep text or add as plain text reference
  • Remove code blocks → Use plain text
  • Remove > blockquotes → Just plain text
• Keep emojis in section headers (微信支持emoji)
• Maintain all content and examples
• Word count: Same as full Markdown version

Format example:

标题：文章标题

副标题或引言...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 第一部分标题

内容段落...

💡 核心观点
详细说明...

📊 数据支持
具体数据...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📌 第二部分标题

内容段落...

（以此类推）

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
总结

总结内容...

Save to: wechat-articles/{topic-slug}/article-plain.txt

Quality Check:

• All three versions generated
• Markdown properly removed from plain text versions
• Word counts match targets (1000±100 for condensed, full length for complete)
• Emojis preserved in headers
• Content remains coherent without Markdown formatting
• Ready for direct copy-paste to WeChat editor

Step 5: Review & Refine

Critical quality control step - Review the generated article for:

Review Checklist

✅ Content Accuracy

• Facts and data are correct
• Code examples are valid and runnable
• Technical concepts are explained accurately
• No misleading or incorrect information

✅ Topic Relevance

• Article stays on topic throughout
• All sections directly support the main theme
• No unnecessary tangents or off-topic content
• Examples and cases align with the topic

✅ Structure & Flow

• Logical progression from beginning to end
• Clear transitions between sections
• Consistent voice and tone
• Balanced depth across sections

✅ Quality Standards

• Clear and easy to understand
• Practical and actionable
• Engaging and readable
• Proper formatting and emoji usage

Review Process

1. Self-Review: AI tool reviews its own generated content
2. Issue Identification: Note any problems found
3. Refinement: Fix identified issues
4. Final Check: Verify all checklist items pass

Refinement Guidelines

If issues are found:

• Content errors: Correct inaccurate information
• Off-topic content: Remove or redirect to the main theme
• Unclear explanations: Rewrite for clarity
• Missing elements: Add necessary examples or context
• Poor flow: Reorganize or add transitions

Important: Do not proceed to infographic generation until the article passes all review criteria.

Save refined version to: wechat-articles/{topic-slug}/article.md (overwrite if needed)

Step 6: Generate Infographic Descriptions

Create detailed descriptions for 2 infographics that best visualize the article content.

What to describe:

1. Infographic 1: Core concept diagram or framework visualization

   • Identify the most important concept from the article
   • Design a visual representation (comparison, flow, or structure)
   • Specify visual style, colors, and layout

2. Infographic 2: Process or method diagram

   • Choose a practical process or method from the article
   • Design step-by-step visualization
   • Include key points and examples

Description format (save as Markdown files):

# Infographic Title

## Type
[concept-comparison | process-flow | data-visualization]

## Visual Style
- Theme: [notion | warm | minimal | professional]
- Colors: [color scheme]
- Layout: [vertical | horizontal | grid]

## Content
[Detailed description of what should be visualized]

## Text Elements
- Title: [main title]
- Headers: [section headers]
- Labels: [data labels or annotations]

## Visual Elements
- Icons needed: [list]
- Charts needed: [bar/line/pie/etc.]
- Diagram type: [flowchart/mindmap/etc.]

Save descriptions to: wechat-articles/{topic-slug}/infographic/prompts/01-*.md and 02-*.md

Step 7: Generate PNG Images

Automatically generate actual PNG images using the infographic-generator skill.

Implementation:

# For each infographic description
/infographic-generator infographic/prompts/01-*.md --output infographic/01-*.png
/infographic-generator infographic/prompts/02-*.md --output infographic/02-*.png

Process:

1. Check skill availability: Verify if infographic-generator skill is available
2. Invoke skill: Call the skill for each infographic description
3. Handle output: Save generated PNG images to the output directory
4. Fallback: If skill not available, save description files and inform user

Quality Check:

• Verify PNG files are generated successfully
• Check image quality and content match
• If generation fails, save description for manual generation later

Output location:

wechat-articles/{topic-slug}/infographic/
├── 01-concept.png         # Generated PNG image 1
├── 02-process.png         # Generated PNG image 2
└── prompts/               # Description files (backup)
    ├── 01-concept.md
    └── 02-process.md

User Communication:

• ✅ If PNGs generated: "已生成2张信息图PNG图片"
• ⚠️ If skill unavailable: "信息图描述已保存，可使用 /infographic-generator 手动生成PNG"

Step 8: Save Outputs

Create complete directory structure with all generated content:

wechat-articles/{topic-slug}/
├── source.md                  # User's original input
├── analysis.md                # Content analysis report
├── research.md                # Web research findings (if web search was enabled)
├── titles.md                 # 3 titles with techniques and rationales
├── structure.md              # Article structure and outline
├── content-initial.md        # Initial content before reviews
├── review-1.md              # Review 1: Theme consistency
├── review-2.md              # Review 2: Design and language
├── review-3.md              # Review 3: AI removal and colloquial
├── article-full.md          # Full article (Markdown, 5000 words)
├── article-condensed.md      # Condensed version (Markdown, 1000 words)
├── article-full-plain.txt   # Full version (Plain text, WeChat compatible)
├── article-condensed-plain.txt # Condensed version (Plain text, 1000 words)
├── infographic/               # Infographic outputs
│   ├── 01-*.png               # Generated PNG image 1
│   ├── 02-*.png               # Generated PNG image 2
│   └── prompts/               # Description files (backup)
│       ├── 01-*.md
│       └── 02-*.md
└── meta.json                  # Metadata (tags, SEO info)

Save process:

1. Create output directory
2. Save titles with techniques and rationales
3. Save article structure and outline
4. Save initial content before reviews
5. Save all three review results
6. Save 4 article variants (full/condensed × markdown/plain text)
7. Organize infographic assets
8. Generate metadata file with article stats

Step 13: Output Summary

Present comprehensive results to user:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ WeChat Article Complete!

Topic: {topic}
Style: {style}
Voice: {voice}

Output:
  📋 titles.md               (3 engaging titles)
  📋 structure.md            (Article structure)
  📄 content-initial.md      (Initial content)
  🔍 review-1.md            (Theme consistency)
  🔍 review-2.md            (Design & language)
  🔍 review-3.md            (AI removal & colloquial)
  📄 article-full.md         (Full version, Markdown, 5000 words)
  📄 article-condensed.md     (Condensed, Markdown, 1000 words)
  📄 article-full-plain.txt  (Full version, Plain text, WeChat compatible)
  📄 article-condensed-plain.txt (Condensed, Plain text, 1000 words)
  🖼️ infographic/
     ├─ 01-*.png             (PNG image 1)
     └─ 02-*.png             (PNG image 2)
  📋 meta.json               (metadata)

Files:
  ✓ {path}/titles.md
  ✓ {path}/structure.md
  ✓ {path}/content-initial.md
  ✓ {path}/review-1.md
  ✓ {path}/review-2.md
  ✓ {path}/review-3.md
  ✓ {path}/article-full.md
  ✓ {path}/article-condensed.md
  ✓ {path}/article-full-plain.txt
  ✓ {path}/article-condensed-plain.txt
  ✓ {path}/infographic/01-*.png
  ✓ {path}/infographic/02-*.png

Next Steps:
  → For WeChat: Use article-full-plain.txt or article-condensed-plain.txt
  → For Blog: Use article-full.md or article-condensed.md
  → Review all generated content
  → Preview infographic images
  → Run /baoyu-post-to-wechat to publish
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Technical Implementation Notes

This skill is designed to be executed by AI tools directly, not as standalone scripts.

• AI tools read SKILL.md and execute the workflow using their built-in capabilities
• No API key configuration required - AI tool's built-in capabilities are sufficient
• The scripts/ directory contains optional helper scripts for advanced users only
• External APIs (like Claude API) are only needed for standalone script usage

For Advanced Users: Standalone Scripts

If you want to run the skill standalone (not through an AI tool):

1. You'll need a Claude API key
2. Install Bun runtime
3. See scripts/README.md for detailed instructions

Most users should ignore the scripts directory and use the skill through their AI tool.

Output Structure

All outputs are saved in wechat-articles/{topic-slug}/ directory:

wechat-articles/{topic-slug}/
├── source.md                  # Original user input
├── analysis.md                # Content analysis report
├── outline.md                 # Article outline structure
├── article.md                 # Full article (Markdown, 5000 words)
├── article-1000.md            # Condensed version (Markdown, 1000 words)
├── article-1000-plain.txt     # Condensed version (Plain text, 1000 words)
├── article-plain.txt          # Full version (Plain text, no Markdown)
├── infographic/               # Generated infographics
│   ├── 01-*.png               # PNG image 1 (auto-generated)
│   ├── 02-*.png               # PNG image 2 (auto-generated)
│   └── prompts/               # Image description files (backup)
│       ├── 01-*.md            # Description for image 1
│       └── 02-*.md            # Description for image 2
└── meta.json                  # Article metadata (tags, SEO, statistics)

Key Deliverables:

• ✅ titles.md: 3 engaging titles with techniques and rationales
• ✅ structure.md: Article structure and outline
• ✅ content-initial.md: Initial content before reviews
• ✅ review-1.md: Theme consistency review results
• ✅ review-2.md: Design and language review results
• ✅ review-3.md: AI removal and colloquial optimization results
• ✅ article-full.md: Complete article (Markdown, 5000 words)
• ✅ article-condensed.md: Condensed version (Markdown, 1000 words)
• ✅ article-full-plain.txt: Full version for WeChat (Plain text, no Markdown)
• ✅ article-condensed-plain.txt: Condensed version for WeChat (Plain text, 1000 words)
• ✅ PNG images: 2 high-quality infographics (auto-generated)
• ✅ research.md: Latest information and data (if web search enabled)
• ✅ meta.json: SEO metadata for publishing

WeChat Publishing Guide:

• For WeChat Official Account: Use article-full-plain.txt or article-condensed-plain.txt
• Why: These files have no Markdown formatting, ready for direct copy-paste
• Note: Emojis in headers are preserved (WeChat supports emojis)
• For other platforms (blog, knowledge base): Use Markdown versions (article-full.md, article-condensed.md)
• Review process: All articles go through three layers of review (theme consistency, design & language, AI removal & colloquial optimization)

Preferences Configuration

Create skills/wechat-article-writer/EXTEND.md to customize default preferences:

## Writing Preferences

### Content Style
- **Language**: Chinese (Simplified)
- **Tone**: Professional yet accessible
- **Word count limit**: 5000 (customizable, default 5000)
- **Structure**: Problem → Solution → Examples → Conclusion

### Format Preferences
- **Headings**: H1, H2, H3 hierarchy
- **Lists**: Numbered for procedures, bullet for features
- **Code blocks**: Include for technical topics
- **Tables**: For comparisons and data

### Infographic Style
- **Theme**: Clean, modern, professional
- **Color palette**: Blue/gray/green scheme
- **Elements**: Icons, charts, diagrams

Examples

Example 1: Technical Tutorial

/wechat-article-writer "Go语言微服务架构实践:从零到部署"

Output:

• Topic: Microservices architecture with Go
• Sections: Background, Architecture Design, Implementation, Deployment, Best Practices
• Infographics: Architecture diagram, workflow chart, deployment process

Example 2: Industry Analysis

/wechat-article-writer "2024年AI发展趋势与商业应用分析"

Output:

• Topic: AI industry trends and business applications
• Sections: Market Overview, Key Trends, Business Cases, Future Outlook
• Infographics: Market size chart, trend timeline, application matrix

Common Pitfalls

1. Skipping content analysis - Always analyze the topic before generation to ensure quality
2. Not customizing preferences - Default preferences may not match your writing style
3. Missing infographics - Visual content significantly increases article engagement
4. Poor outline structure - A good outline is essential for coherent article flow
5. Ignoring SEO - Include keywords and meta information for search optimization

References

• WeChat Official Account Publishing Guidelines
• AI Content Generation Best Practices
• Infographic Design Principles
• Technical Writing Standards

Future Enhancements

• Multi-platform publishing support (WeChat, Zhihu,掘金)
• Automatic SEO optimization
• Template library for common article types
• Collaborative editing features
• Performance analytics integration