← ClaudeAtlas

mufeng-wechat-publish-fulllisted

Use when publishing articles to WeChat Official Account (微信公众号), including tasks that involve SEO/GEO-friendly Markdown metadata, professional article visuals, background-only cover generation, deterministic screenshots or diagrams before imagegen, uploading assets to the fixed GitHub image host, direct Markdown publishing, HTML fallback publishing, or calling the WeChat API. Also use when any step of a previous WeChat publish attempt failed. Includes AI tech blog content strategy for maximizing WeChat platform recommendation (推荐曝光).
ichangyou/mf-ai-skills · ★ 2 · AI & Automation · score 75
Install: claude install-skill ichangyou/mf-ai-skills
# Mufeng WeChat Full Publishing Workflow ## Overview End-to-end skill for publishing AI tech blog articles to a WeChat Official Account. Covers every stage: content strategy for platform recommendations, SEO/GEO-friendly Markdown metadata, IP verification, professional visuals, fixed GitHub image hosting, direct Markdown publishing, HTML fallback sanitization, and final publish. Follow stages in order — skipping any stage causes silent failures downstream. ## Core Publishing Rules - Prefer publishing from the final Markdown file. Do not pre-convert Markdown to HTML unless the user explicitly asks for HTML publishing or the API path is unavailable. - Every generated or revised Markdown article should have SEO/GEO-friendly YAML frontmatter before publishing. - Use the fixed image host for article assets: - Repository: `mf-blog/blogPictures` - Branch: `main` - Directory: `images/<article-slug>` - Raw URL shape: `https://raw.githubusercontent.com/mf-blog/blogPictures/main/images/<article-slug>/<filename>.png` - Reuse one canonical `article-slug` across frontmatter, local image folders, GitHub remote paths, and completion reports. - Use `category`, not the misspelled `categery`. - Preserve user-authored content. When adding metadata, images, or ending hooks, do not rewrite unrelated article sections. --- ## Stage 0: Content Strategy — AI Tech Blog for Maximum Recommendation (推荐曝光) WeChat's recommendation system (看一看/搜一搜/流量主) surfaces articles based on **completion r