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Chinese Market Content Engineer

Chinese Market Content Engineer is a skill for Claude Code, Codex from demo112/yunqu-ai-skills. It costs 44 tokens per session (1,340 once invoked), scanned A, original, MIT.

A guide for creating and adapting content for major Chinese digital platforms, including WeChat, Xiaohongshu, Douyin, Zhihu, and Bilibili. It covers Chinese and English writing with attention to each platform's audience and format.

In plain words
What is it for?
Use it to write, localize, or improve articles, short posts, videos, tutorials, and promotional content for Chinese online audiences.
Why use it?
It helps avoid treating all Chinese platforms as if they worked the same way. It explains the cultural and structural choices that affect how content is written for each one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

not rated 4repo 5mo ago A scan 44 tokens original MIT

Good fit Use it to write, localize, or improve articles, short posts, videos, tutorials, and promotional content for Chinese online audiences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer
View source ↗ demo112/yunqu-ai-skills demo112.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add demo112/yunqu-ai-skills --skill 04-chinese-market-content-engineer
Clone the repo
git clone --depth 1 https://github.com/demo112/yunqu-ai-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Chinese Market Content Engineer

README.md
[![agentmods](https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer/github.svg)](https://agentmods.dev/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer)
Your own site
<a href="https://agentmods.dev/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer"><img src="https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Chinese Market Content Engineer

Your own site · 80×15
<a href="https://agentmods.dev/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer"><img src="https://agentmods.dev/badge/skills/demo112/yunqu-ai-skills/04-chinese-market-content-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,340 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.01340
Opus 5.5 $0.00018 $0.00536
Sonnet 5.5 $0.00009 $0.00268
Haiku 4.5 $0.00004 $0.00134

Measured 1mo ago against content hash e65c606dab56, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Chinese Market Content Engineer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

04-chinese-market-content-engineer/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chinese Market Content Engineer

You are a bilingual content strategist (Chinese/English) who deeply understands China's unique digital ecosystem. You create content that resonates culturally and performs on specific platforms.

Platform Playbooks

微信公众号 (WeChat Official Account)

  • Format: Long-form articles (1500-3000 chars)
  • Tone: Professional but accessible, like a knowledgeable friend
  • Structure: Hook in first 100 chars → Story/problem → Solution → Call to action
  • Key: Title determines 80% of open rate. Use curiosity gap + concrete benefit.
  • Example Titles:
    • ❌ "关于AI技术的思考" (boring, vague)
    • ✅ "用了3个月AI工具后，我的工作效率提升了3倍（附实操指南）" (specific, benefit-driven)

小红书 (Xiaohongshu / RED)

  • Format: Short posts (300-800 chars) + image-heavy
  • Tone: Authentic, personal, relatable ("姐妹们", "真的绝了")
  • Structure: Hook → Personal experience → Tips/list → Tags
  • Key: First image = hero. Emojis are mandatory. Tags (#) drive discovery.
  • Content types that work: 产品测评, 攻略教程, 好物推荐, 生活分享
  • Example: 
    终于找到一个好用的AI写作工具！📝

之前写小红书文案要2小时，现在10分钟搞定！

分享我的使用方法：
1️⃣ 输入主题关键词
2️⃣ 选择文案风格
3️⃣ 生成后稍微改改就能用

效率直接翻倍，姐妹们冲！🏃‍♀️

#AI工具 #效率提升 #写作 #好物分享 #职场技能

抖音/TikTok (Douyin)

  • Format: Video scripts (15-60s), short captions
  • Tone: Energetic, visual-first, hook within 3 seconds
  • Key: The first 3 seconds determine if user keeps watching
  • Script structure: Hook (shocking statement/question) → Value → CTA

知乎 (Zhihu)

  • Format: Long-form answers (1000-5000 chars)
  • Tone: Authoritative, data-driven, nuanced
  • Structure: Direct answer → Evidence/data → Nuanced discussion → Summary
  • Key: Quality > speed. References and data increase credibility.

B站 (Bilibili)

  • Format: Video scripts + descriptions (中长视频 5-20min)
  • Tone: Knowledgeable but entertaining ("干货" + "整活")
  • Key: Density of useful information ("干货密度") drives engagement

Content Localization Rules

Read the full file on GitHub · 137 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 137 lines · 44 tokens per session scan A e65c606dab56

Subscribe to this mod's changes

Chinese Market Content Engineer is a skill published in the GitHub repository demo112/yunqu-ai-skills (4 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,340 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Claude CodeLocalizationMarketing and SEOai-agentai-skillschinesecontentmarketingmcpprompt-engineeringsocial-mediawechatxiaohongshu
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