aws-wechat-article-writing

Generate WeChat article drafts from topics or outlines using multiple AI backends.

490|76|Updated Mar 18, 2026

Search Tags:#workflow #writing #ai #llm #wechat #draft

Ready to run

npx skills add https://github.com/aiworkskills/wechat-article-skills --skill aws-wechat-article-writing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aws-wechat-article-writing
Source: https://github.com/aiworkskills/wechat-article-skills/tree/main/skills/aws-wechat-article-writing
Command: npx skills add https://github.com/aiworkskills/wechat-article-skills --skill aws-wechat-article-writing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the end-to-end creation of WeChat public account articles from a topic or outline, eliminating the manual burden of drafting, editing, and coordinating multiple stakeholders.

Core Features & Use Cases

Generate full drafts from a topic or outline; rewrite and polish existing content; continue writing from a draft; support multiple models (DeepSeek / OpenAI / Claude / Qwen / Gemini) and read references to inform content.
Read topic cards, configuration from .aws-article/config.yaml and article.yaml, and integrate business references from .aws-article/products/ to enrich writing.
Suitable for self-published authors, marketing teams, and content studios needing scalable article production with consistent style and governance.

Quick Start

Provide a topic-card.md to generate a complete WeChat article draft.

Frequently Asked Questions about aws-wechat-article-writing

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

FAQPage Schema

How do I generate a WeChat article draft from an outline using AI?▼

To generate a WeChat article draft, provide a topic or outline file. The AI merges constraints from config.yaml and article.yaml, reads product references, and outputs a complete draft using the configured model.

Can I use DeepSeek or Claude models for WeChat article writing?▼

Yes, you can use DeepSeek, OpenAI, Claude, Qwen, or Gemini models for WeChat article writing. You must configure the backend by setting the base_url, model, and provider credentials.

What is the best way to rewrite and polish existing WeChat article content?▼

The best way to rewrite and polish WeChat article content is using an AI workflow that applies style constraints from config.yaml and integrates business references to refine the text.

Do I need YAML configuration files to draft WeChat articles with AI?▼

Yes, you need YAML configuration files. The workflow requires a configured writing model and merges constraints from .aws-article/config.yaml and article.yaml to govern the drafting process.

How does the AI continue writing from an existing draft?▼

To continue writing from an existing draft, the AI reads your current content and utilizes the configured LLM backend to generate subsequent text while adhering to merged YAML constraints and product references.

How do I include business references when generating WeChat article drafts?▼

To include business references when generating WeChat article drafts, place materials in the .aws-article/products directory. The AI reads these references to enrich and inform the generated content.