소셜 미디어 AI 자동화 핑크북
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위챗 자동화1

제 1 강 · 위챗 공식 계정 자동화: API 원리부터 산업용 파이프라인까지

模块위챗 자동화预计学习20 分钟难度

🎯 What You'll Learn

  • Human-in-the-Loop Mindset: Understand why pure automation defaults to a "lottery," and why human-machine collaboration is the ultimate content model.
  • The Two Core Automation Pillars: Master the division of labor between Skill (SOP recipe) and OpenClaw (autonomous digital worker).
  • 7-Step Industrial Assembly Line: Break down topic scraping, viral titles, outline guardrails, de-AI voice polishing, WeChat HTML formatting, article cover generation, and draft box ingestion into standard workstations.
  • Directing AI to Write Code for You: Beginners don't need to learn programming syntax—simply feed ready-made prompts to an AI Agent to deploy scripts and workflows.
  • WeChat Official API & Security Gates: Conquer AppID/AppSecret, IP Whitelisting (fixing error 40164), thumb_media_id cover requirements, and draft box safety buffers.
  • Three-Stage Rollout Roadmap: Move smoothly from manual trials to semi-automated collaboration to full autopilot.

1. Top of the Pyramid: The Endgame Is Human-Machine Collaboration

Over the past years, I built mini-programs reaching over 2 million users and launched 7 AI products within a single year. Long-form article writing on WeChat was the first domain I set out to fully automate.

The real challenge was never occasionally generating a decent piece—it was producing consistently, reliably, and authentically in my own voice.

A few months ago, I built a fully automated content factory: an AI scouted topics, crafted headlines, drafted sections, formatted styles, and pushed directly to the WeChat draft box:

自媒体 AI 自动化:微信公众号内容工厂全景流水线架构
小龙虾自动运行选题抓取 Skill,推送微信公众号选题调研报告卡片与候选评分
内容自动化流水线:小龙虾将排版完成的长文推送至草稿箱状态通知
实战产出:《哈佛教授用Claude写论文:两周干完一年活》等多篇优质爆款文章展示
公众号流量主真实收益数据:昨日收入日环比+1333.55%,周同比+6503.03%

After running it for a month, my perspective shifted:

Full automation solves output frequency, but viral hits remain a lottery. The true value of any piece of content lies not in raw generation, but in the creator's taste, angle, and distinct point of view.
自媒体 AI 自动化金字塔原理架构:创作者核心价值 -> 人机协同引擎 -> 工业化流水线 -> 微信官方生态工程护栏

2. Middle of the Pyramid: Understanding Skills & OpenClaw

1. Skill: A Precision SOP Recipe

什么是 Skill?大模型是聪明的大厨,Prompt 是口头点单,Skill 才是写清楚步骤的传世菜谱

LLMs (like Claude and ChatGPT) are like master chefs new to your kitchen. If you only give verbal instructions (Prompt), results fluctuate wildly. A Skill is the written recipe specifying:

  • Triggers: When the task runs
  • Inputs: Reference links, constraints, target audience
  • Steps: Exact sequence of execution
  • Outputs: Explicit file deliverables (article.md, cover.jpg, article.html)
Skill 解决的核心痛点:将业务梳理标准化,先把流程写清楚,AI 才能持续稳定交付
第一个 Skill 的四大核心骨架要素:触发条件、输入材料、执行步骤、输出产物
标准化:为什么 Skill 能够将业务长链路与生产标准固定下来
可迭代:为什么 Skill 可以在实战中持续演进、越调越稳
稳定运行:Skill(固定流程规则)+ OpenClaw(持续正确执行)的强强联手

2. OpenClaw: The 24/7 Autonomous Digital Worker

While a Skill defines the rules, OpenClaw is the autonomous worker that runs on schedules.

A Skill locks down the standard operating procedure; OpenClaw runs that procedure accurately and reliably.

3. Human-in-the-Loop Collaboration Checkpoints

选题调研卡片详情:包含文章类型、预计字数、数据来源与深度挖掘方向
长文创作完成通知:自动生成标题、正文结构、微信 HTML 排版并推送草稿
人机协同关键节点:微信公众号选题待确认队列,创作者做第一道质量把关
人机协同互动实操:创作者确认选题并注入个人核心观点与语气要求

3. Base of the Pyramid: Step-by-Step Hands-on Assembly

💡 Beginner Tip: You don't need to write code! Copy the ready-made prompts below to your AI Agent (Cursor, Claude Code, or OpenClaw), and let the AI do the heavy lifting!

Step 1: Build the Topic Scraping Skill (wechat-topic-fetch-tool)

Feed this prompt to your AI Agent to design the Mermaid workflow:

markdown
I want to build a "WeChat Topic Scraping Skill".
Please load /skill-creator and follow its confirmation process: output a Mermaid flowchart first.
Do not create files until I confirm the flowchart.
Include multi-source scraping, routing order, fallback mechanisms, and structured output to wechat_topic_proposals.md.
第一步:向 AI 发送指令,自动分析多源信息并生成 Mermaid 流程图方案
自动选题抓取 Skill 流程图架构细节与 fallback 容错回退机制
Agent 任务交接与流程图梳理:先用流程图与 AI 可视化沟通,确认后再进入代码实现

Step 2: Build the 7-Workstation Creation Skill (topic-to-wechat)

公众号写作自动化 7 节点流水线:前置策划 -> 内容生产 -> 交付发布
  1. Scraping: Read candidate topics from wechat_topic_proposals.md;
  2. Viral Headlines: Generate 5 hook-driven titles with scores;
  3. Outline Guardrails: Prevent rambling and enforce structure;
  4. De-AI Writing: Ban clichés ("not only... but also", "in conclusion") and use conversational tone;
  5. Inline HTML: Convert Markdown into mobile-optimized inline CSS;
  6. 21:9 Cover Generation: Produce header image matching WeChat ratios;
  7. Official Draft Ingestion: Upload cover to obtain thumb_media_id and send to draft box.

Step 3: WeChat Developer Platform & Security Gates

微信公众平台开发者后台:进入「基本配置」查看公众号基本信息
微信开发者凭证:获取 AppID 与开发者密码(AppSecret)

Fixing Error 40164 (IP Whitelist)

Visit https://cip.cc/ to inspect your outbound IPv4 address, and add it to WeChat Official Platform → Settings & Development → Basic Configuration → IP Whitelist:

使用 cip.cc 查询本机或服务器公网 IP,准备配置微信白名单
设置微信 IP 白名单:将请求设备的公网 IP 填入白名单,规避 40164 报错

Step 4: Deploying to OpenClaw Digital Worker

飞书开放平台:一键创建 OpenClaw 机器人,拥有 7×24 小时随叫随到的专属数字员工

Store your skills in standard directories:

text
~/.openclaw/skills/wechat-topic-fetch-tool
~/.openclaw/skills/news-to-wechat

📌 Takeaway

First organize your workflow into a clean Skill (recipe), then delegate execution to autonomous agents. Keep human judgment on topics and perspectives, while software manages pipeline mechanics.

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제 1 강 · 위챗 공식 계정 자동화: API 원리부터 산업용 파이프라인까지 | 소셜 미디어 AI 자동화 핑크북 | 超级峰 AI 课堂