wechat-article

Generates publish-ready WeChat articles through author, editor, and reader agent collaboration.

16.4k|2.5k|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/xbtlin/ai-berkshire --skill wechat-article-xbtlin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wechat-article
Source: https://github.com/xbtlin/ai-berkshire/tree/main/codex-skills/wechat-article
Command: npx skills add https://github.com/xbtlin/ai-berkshire --skill wechat-article-xbtlin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Single-pass AI writing often produces articles that read well to the writer but confuse or bore the actual audience. This Skill enforces a three-agent workflow—author, editor, and reader—so every WeChat article is checked for depth, readability, and real audience comprehension before publication. ## Core Features & Use Cases - Three-Agent Collaboration: An author agent writes a deep first draft, an editor agent refines structure and expression, and a reader agent reviews from the target audience's perspective. - Parallel Research Phase: Launches 2-3 research agents to gather core content, industry background, and competitive comparisons before writing begins. - Paper Figure Extraction: Renders PDF pages at 900+ DPI with pdftoppm and crops figures with PIL, inserting real high-resolution images instead of placeholders. - Use Case: Ask it to write a WeChat article interpreting a new technical paper; it researches the topic, drafts in conversational Chinese with LaTeX formulas and plain-language explanations, runs editorial and reader reviews, then finalizes a publish-ready Markdown file with extracted figures. ## Quick Start Write a WeChat article interpreting the Qwen3 technical report for readers with some technical background, around 3000-4000 words.

Frequently Asked Questions about wechat-article

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a WeChat article with AI agents?▼

Provide a topic description such as a paper title or theme. The skill runs parallel research agents, then an author agent drafts the article, and editor plus reader agents review it in parallel before a final revision pass produces the publish-ready Markdown file.

How to extract figures from PDF papers for articles?▼

Render PDF pages at 900 DPI or higher using pdftoppm, locate figure coordinates on a low-resolution preview, then crop with PIL and save at compress_level=1. Each image should be at least 500KB and stored in an assets directory referenced by relative path.

What input formats does the WeChat article skill accept?▼

It accepts a plain topic description, such as a technical paper title, an industry trend, or an investment question. You can optionally specify target reader profile, article depth, word count, and writing style; defaults are applied if omitted.

Can the article workflow handle mathematical formulas?▼

Yes. All formulas must use LaTeX format with inline $...$ or display $$...$$ delimiters, and every formula must be followed by a plain-language explanation. Plain-text formulas are explicitly prohibited.

What are the limitations of multi-agent article writing?▼

The workflow depends on subagent and web search availability in the host environment, so quality drops without research access. It also requires more time and tokens than single-pass generation due to the research, drafting, and dual review stages.