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Wewrite Wechat Ai Publishing

  • 851 installs
  • 66 repo stars
  • Updated July 9, 2026
  • aradotso/trending-skills

wewrite-wechat-ai-publishing is a Claude Code agent skill that runs an end-to-end WeChat Official Account article pipeline—hotspot fetching, drafting, SEO, images, formatting, and draft-box publish—for developers who pub

About

wewrite-wechat-ai-publishing is a full-pipeline Claude Code skill from ara.so's Daily 2026 Skills collection for WeChat Official Account (公众号) articles. The workflow chains hotspot fetching, topic selection, AI drafting, SEO keyword analysis, cover image generation, WeChat-specific formatting, and draft-box publishing in one agent invocation. Eight Chinese-language triggers cover requests like writing a 公众号 article, fetching hotspots, generating cover images, and publishing to the WeChat draft box. Developers reach for wewrite-wechat-ai-publishing when they need repeatable, agent-driven WeChat content production without manually switching between research, writing, SEO, design, and publishing tools.

  • Full pipeline: hotspot fetch → topic pick → write → SEO → AI images → format → WeChat draft box
  • Python toolchain with config.yaml for WeChat app credentials and image providers (Doubao or OpenAI)
  • Claude Code skill install plus standalone script components
  • Chinese trigger phrases for drafting, hotspots, covers, SEO, and draft publishing
  • Outputs to configurable output_dir with requirements.txt dependencies

Wewrite Wechat Ai Publishing by the numbers

  • 851 all-time installs (skills.sh)
  • +10 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #508 of 1,881 Marketing & SEO skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/aradotso/trending-skills --skill wewrite-wechat-ai-publishing

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repo stars66
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Last updatedJuly 9, 2026
Repositoryaradotso/trending-skills

How do you automate WeChat Official Account article publishing?

Run an end-to-end WeChat Official Account article pipeline—hotspots, drafting, SEO, images, formatting, and draft-box publish—from one agent skill.

Who is it for?

Developers or technical content operators who publish WeChat Official Account articles and want one agent skill to handle research, writing, SEO, images, and draft publishing.

Skip if: Teams building non-WeChat web apps or English-only blogs that do not use WeChat Official Account draft-box APIs.

When should I use this skill?

The user asks to write a 公众号 article, fetch hotspots for WeChat content, generate a WeChat cover image, format a WeChat post, or publish to the WeChat draft box.

What you get

SEO-optimized WeChat article draft with cover image, formatted layout, and draft-box publish ready for review.

  • WeChat article draft
  • cover image
  • SEO keyword analysis

By the numbers

  • Covers 7 pipeline steps from hotspot fetching through draft-box publishing
  • Defines 8 Chinese-language trigger phrases for WeChat article workflows

Files

SKILL.mdMarkdownGitHub ↗

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

# Cover image (recommended 900×383)
python3 toolkit/image_gen.py \
  --prompt "科技感封面,蓝色光线,未来感" \
  --output output/cover.png \
  --size cover

# Inline content image
python3 toolkit/image_gen.py \
  --prompt "程序员在办公室工作,现代风格插画" \
  --output output/img1.png \
  --provider openai

Python usage:

from toolkit.image_gen import generate_image

path = generate_image(
    prompt="AI机器人与人类握手,科技感插画",
    output_path="output/cover.png",
    size="cover",          # "cover" (900x383) or "content" (800x600)
    provider="doubao"      # "doubao" or "openai"
)
print(f"Generated: {path}")

6. Formatting — Markdown → WeChat HTML

WeChat requires inline styles. The converter handles this automatically.

# Preview in browser
python3 toolkit/cli.py preview article.md --theme professional-clean

# Available themes
python3 toolkit/cli.py themes

Python usage:

from toolkit.converter import MarkdownConverter
from toolkit.theme import load_theme

theme = load_theme("tech-modern")
converter = MarkdownConverter(theme=theme)

with open("article.md") as f:
    markdown_content = f.read()

html = converter.convert(markdown_content)
# html is WeChat-ready with all inline styles

7. Publish to WeChat Draft Box

python3 toolkit/cli.py publish article.md \
  --cover output/cover.png \
  --title "2026年AI大模型最新进展" \
  --author "科技观察"

Python usage:

from toolkit.publisher import WeChatPublisher
from toolkit.wechat_api import WeChatAPI

api = WeChatAPI(appid=os.environ["WECHAT_APPID"], secret=os.environ["WECHAT_SECRET"])
publisher = WeChatPublisher(api=api)

# Upload cover image first
media_id = api.upload_image("output/cover.png")

# Push to draft box
draft_id = publisher.create_draft(
    title="2026年AI大模型最新进展",
    content=html_content,          # inline-styled HTML from converter
    cover_media_id=media_id,
    author="科技观察",
    digest="本文盘点2026年大模型最新进展..."   # summary/excerpt
)
print(f"Draft created: {draft_id}")

8. Fetch Article Stats (回填数据)

python3 scripts/fetch_stats.py --article-id "your_article_id"

9. Learn from Manual Edits

python3 scripts/learn_edits.py \
  --original output/draft.md \
  --edited output/final.md \
  --client demo

Extracts style rules from diffs and appends them to the client's playbook.

---

Client Configuration

Each client lives in clients/{name}/style.yaml:

# clients/my-tech-blog/style.yaml
name: "我的科技博客"
industry: "科技/AI"
topics:
  - "人工智能"
  - "大模型应用"
  - "编程技术"
tone: "专业严谨,偶尔幽默,面向中级开发者"
theme: "tech-modern"
avoid:
  - "过度营销语言"
  - "绝对化表述"
wechat:
  appid: "${WECHAT_APPID}"
  secret: "${WECHAT_SECRET}"

Create a new client:

mkdir clients/my-client
cp clients/demo/style.yaml clients/my-client/style.yaml
# Edit style.yaml for your client

---

Themes

ThemeStyle
professional-cleanClean professional (default)
tech-modernTech-forward blue/purple gradient
warm-editorialWarm editorial tones
minimalMinimal black/white
python3 toolkit/cli.py themes          # list all themes with previews
python3 toolkit/cli.py preview article.md --theme warm-editorial

Custom theme (YAML):

# toolkit/themes/my-theme.yaml
name: my-theme
body:
  font-family: "'PingFang SC', sans-serif"
  font-size: "16px"
  color: "#333"
  line-height: "1.8"
h2:
  color: "#1a73e8"
  font-weight: "bold"
  border-left: "4px solid #1a73e8"
  padding-left: "10px"
blockquote:
  background: "#f0f4ff"
  border-left: "3px solid #4285f4"
  padding: "12px 16px"
  color: "#555"

---

Full Pipeline — Python Orchestration

import subprocess
import json
import os
from toolkit.converter import MarkdownConverter
from toolkit.theme import load_theme
from toolkit.publisher import WeChatPublisher
from toolkit.wechat_api import WeChatAPI
from toolkit.image_gen import generate_image

# 1. Fetch hotspots
result = subprocess.run(
    ["python3", "scripts/fetch_hotspots.py", "--limit", "20", "--json"],
    capture_output=True, text=True
)
hotspots = json.loads(result.stdout)

# 2. SEO analysis on top topics
from scripts.seo_keywords import analyze_keywords
top_titles = [h["title"] for h in hotspots[:5]]
seo_scores = analyze_keywords(top_titles)

# 3. (Claude selects topic, writes article — handled by SKILL.md)
# After Claude produces article.md:

# 4. Generate cover
cover_path = generate_image(
    prompt="科技感封面图,蓝色渐变,数字化未来",
    output_path="output/cover.png",
    size="cover",
    provider=os.environ.get("IMAGE_PROVIDER", "doubao")
)

# 5. Convert Markdown → WeChat HTML
theme = load_theme("tech-modern")
converter = MarkdownConverter(theme=theme)
with open("output/article.md") as f:
    html = converter.convert(f.read())

# 6. Publish to draft box
api = WeChatAPI(
    appid=os.environ["WECHAT_APPID"],
    secret=os.environ["WECHAT_SECRET"]
)
publisher = WeChatPublisher(api=api)
media_id = api.upload_image(cover_path)
draft_id = publisher.create_draft(
    title="选定标题",
    content=html,
    cover_media_id=media_id,
    author="作者名"
)
print(f"✅ Published draft: {draft_id}")

---

References Claude Uses During Pipeline

These files are read automatically by Claude when executing the skill:

FilePurpose
references/topic-selection.md10-topic scoring rules (heat × fit × differentiation)
references/frameworks.md5 article structure templates
references/writing-guide.mdStyle rules, de-AI-ification techniques
references/seo-rules.mdWeChat SEO: title length, keyword density, tags
references/visual-prompts.mdImage generation prompt templates
references/wechat-constraints.mdWeChat HTML/CSS technical limits
references/style-template.mdClient style.yaml schema documentation

---

Troubleshooting

WeChat API 40001 / invalid credential

# Access token expires every 2 hours — the API wrapper auto-refreshes,
# but verify your appid/secret are correct:
python3 -c "
from toolkit.wechat_api import WeChatAPI
import os
api = WeChatAPI(os.environ['WECHAT_APPID'], os.environ['WECHAT_SECRET'])
print(api.get_access_token())
"

Image generation fails

# Test provider connectivity
python3 toolkit/image_gen.py \
  --prompt "测试图片" \
  --output /tmp/test.png \
  --provider doubao
# If doubao fails, switch to openai in config.yaml

Markdown conversion missing styles

# Verify theme loads correctly
python3 -c "from toolkit.theme import load_theme; print(load_theme('tech-modern'))"

# Preview output before publishing
python3 toolkit/cli.py preview article.md --theme tech-modern
# Opens browser with rendered HTML

Hotspot fetch returns empty

# Platforms occasionally change their APIs — run with verbose:
python3 scripts/fetch_hotspots.py --limit 5 --verbose
# Check which sources are failing; the script supports weibo/baidu/toutiao independently

Article not appearing in draft box

  • Ensure the WeChat account has 服务号 or 订阅号 API access enabled
  • Check that your IP is whitelisted in the WeChat MP platform settings
  • Draft box (草稿箱) requires draft.add API permission

---

Quick Reference

# Full standalone workflow
python3 scripts/fetch_hotspots.py --limit 20 --json > hotspots.json
python3 scripts/seo_keywords.py --json "关键词1" "关键词2"
python3 toolkit/image_gen.py --prompt "封面描述" --output cover.png --size cover
python3 toolkit/cli.py preview article.md --theme tech-modern
python3 toolkit/cli.py publish article.md --cover cover.png --title "标题"

# Build playbook from historical articles
python3 scripts/build_playbook.py --client demo

# Learn from edits
python3 scripts/learn_edits.py --original draft.md --edited final.md --client demo

# Fetch article performance data
python3 scripts/fetch_stats.py --article-id "msgid_here"

Related skills

How it compares

Choose wewrite-wechat-ai-publishing over generic blog-writing skills when the target channel is WeChat Official Account and you need Chinese triggers, WeChat formatting, and draft-box publish in one pipeline.

FAQ

What does wewrite-wechat-ai-publishing automate?

wewrite-wechat-ai-publishing automates the full WeChat Official Account article pipeline: hotspot fetching, topic selection, AI writing, SEO keyword analysis, cover image generation, WeChat formatting, and draft-box publishing from one Claude Code skill.

How do you trigger the WeWrite WeChat publishing skill?

wewrite-wechat-ai-publishing activates on eight Chinese triggers including 写一篇公众号文章, 发布文章到微信草稿箱, and 生成公众号封面图, so agents start the pipeline when users request WeChat article creation or draft publishing.

Is Wewrite Wechat Ai Publishing safe to install?

skills.sh reports 1 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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