WeWrite — WeChat AI Publishing Skill

Skill by ara.so — Daily 2026 Skills collection.

WeWrite is a full-pipeline AI skill for producing WeChat Official Account (公众号) articles end-to-end: hotspot fetching → topic selection → writing → SEO → AI image generation → formatting → draft box publishing. It runs as a Claude Code skill (via SKILL.md) but every component also works standalone.

Installation

As a Claude Code Skill

# Clone the repo
git clone https://github.com/oaker-io/wewrite.git ~/.claude/skills/wewrite

# Or copy into an existing project
cp -r wewrite ~/.claude/skills/wewrite

Python Dependencies

cd wewrite
pip install -r requirements.txt

Configuration

cp config.example.yaml config.yaml

Edit config.yaml:

wechat:
  appid: "${WECHAT_APPID}"         # WeChat Official Account App ID
  secret: "${WECHAT_SECRET}"       # WeChat Official Account Secret

image_gen:
  provider: "doubao"               # "doubao" or "openai"
  doubao_api_key: "${DOUBAO_API_KEY}"
  openai_api_key: "${OPENAI_API_KEY}"

output_dir: "./output"

Set environment variables instead of hardcoding secrets:

export WECHAT_APPID="wx1234567890abcdef"
export WECHAT_SECRET="your_secret_here"
export DOUBAO_API_KEY="your_doubao_key"
export OPENAI_API_KEY="sk-..."

Triggering the Full Pipeline

Once installed as a Claude Code skill, simply say:

用 demo 的配置写一篇公众号文章

Claude will execute all steps automatically using clients/demo/style.yaml as the client profile.

You can also specify a client:

用 clients/tech-blog 的风格，围绕今日热点写一篇公众号文章，发布到草稿箱

Pipeline Steps & Scripts

1. Fetch Hotspots

Scrapes real-time trending topics from Weibo, Toutiao, and Baidu.

python3 scripts/fetch_hotspots.py --limit 20
python3 scripts/fetch_hotspots.py --limit 10 --json   # JSON output

Output example:

[
  {"rank": 1, "title": "DeepSeek R2 发布", "source": "weibo", "heat": 98200},
  {"rank": 2, "title": "A股科技板块大涨", "source": "baidu", "heat": 75300}
]

2. SEO Keyword Analysis

Queries Baidu and 360 search suggestions to score keywords.

python3 scripts/seo_keywords.py "AI大模型" "科技股"
python3 scripts/seo_keywords.py --json "ChatGPT" "人工智能"

Python usage:

from scripts.seo_keywords import analyze_keywords

results = analyze_keywords(["AI大模型", "大语言模型", "GPT-5"])
for kw in results:
    print(f"{kw['keyword']}: score={kw['score']}, volume={kw['estimated_volume']}")

3. Topic Selection

Claude reads references/topic-selection.md and generates 10 candidate topics scored on:

• 热度 (trending heat)
• 契合度 (client fit)
• 差异化 (differentiation)

4. Framework & Writing

Claude reads references/frameworks.md (5 frameworks) and references/writing-guide.md (de-AI style rules), then writes the article adapted to the client's tone.

5. AI Image Generation