md2wechat
将 Markdown 转换为微信公众号格式文章,支持预览、上传、生成封面图和信息图
npx skills add geekjourneyx/md2wechat-skill --skill md2wechatBefore / After 效果对比
1 组手动在公众号编辑器中调整格式、插入图片、设置样式,一篇文章需要 2-3 小时,且难以保持风格统一
输入 Markdown 文档,自动转换为公众号格式,一键生成封面图和信息图,20 分钟完成排版和发布准备
description SKILL.md
md2wechat
MD to WeChat
Use md2wechat when the user wants to:
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convert Markdown into WeChat Official Account HTML
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preview or upload article drafts
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inspect live capabilities, providers, themes, and prompts
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generate covers, infographics, or other article images
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create image posts
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write in creator styles or remove AI writing traces
Defaults And Config
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Assume
md2wechatis already available onPATH. -
Draft upload and publish-related actions require
WECHAT_APPIDandWECHAT_SECRET. -
Image generation may require extra provider config in
~/.config/md2wechat/config.yaml. -
convertdefaults toapimode unless the user explicitly asks for--mode ai. -
Check config in this order:
~/.config/md2wechat/config.yaml
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environment variables such as
MD2WECHAT_BASE_URL -
project-local
md2wechat.yaml,md2wechat.yml, ormd2wechat.json -
If the user asks to switch API domain, change
api.md2wechat_base_urlorMD2WECHAT_BASE_URL. -
Treat live CLI discovery output as the source of truth. Do not guess provider names, theme names, or prompt names from repository files alone.
Discovery First
Run these before selecting a provider, theme, or prompt:
md2wechat version --json
md2wechat capabilities --json
md2wechat providers list --json
md2wechat themes list --json
md2wechat prompts list --json
md2wechat prompts list --kind image --json
md2wechat prompts list --kind image --archetype cover --json
Inspect a specific resource before using it:
md2wechat providers show openrouter --json
md2wechat themes show autumn-warm --json
md2wechat prompts show cover-default --kind image --json
md2wechat prompts show cover-hero --kind image --archetype cover --tag hero --json
md2wechat prompts show infographic-victorian-engraving-banner --kind image --archetype infographic --tag victorian --json
md2wechat prompts render cover-default --kind image --var article_title='Example' --json
When choosing image presets, prefer the prompt metadata returned by prompts show --json, especially primary_use_case, compatible_use_cases, recommended_aspect_ratios, and default_aspect_ratio.
Core Commands
Configuration:
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md2wechat config init -
md2wechat config show --format json -
md2wechat config validate
Conversion:
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md2wechat convert article.md --preview -
md2wechat convert article.md -o output.html -
md2wechat convert article.md --draft --cover cover.jpg -
md2wechat convert article.md --mode ai --theme autumn-warm --preview -
md2wechat convert article.md --title "新标题" --author "作者名" --digest "摘要"
Image handling:
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md2wechat upload_image photo.jpg -
md2wechat download_and_upload https://example.com/image.jpg -
md2wechat generate_image "A cute cat sitting on a windowsill" -
md2wechat generate_image --preset cover-hero --article article.md --size 2560x1440 -
md2wechat generate_cover --article article.md -
md2wechat generate_infographic --article article.md --preset infographic-comparison -
md2wechat generate_infographic --article article.md --preset infographic-dark-ticket-cn --aspect 21:9 -
md2wechat generate_infographic --article article.md --preset infographic-handdrawn-sketchnote
Drafts and image posts:
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md2wechat create_draft draft.json -
md2wechat test-draft article.html cover.jpg -
md2wechat create_image_post -t "Weekend Trip" --images photo1.jpg,photo2.jpg -
md2wechat create_image_post -t "Travel Diary" -m article.md -
echo "Daily check-in" | md2wechat create_image_post -t "Daily" --images pic.jpg -
md2wechat create_image_post -t "Test" --images a.jpg,b.jpg --dry-run
Writing and humanizing:
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md2wechat write --list -
md2wechat write --style dan-koe -
md2wechat write --style dan-koe --input-type fragment article.md -
md2wechat write --style dan-koe --cover-only -
md2wechat write --style dan-koe --cover -
md2wechat write --style dan-koe --humanize --humanize-intensity aggressive -
md2wechat humanize article.md -
md2wechat humanize article.md --intensity aggressive -
md2wechat humanize article.md --show-changes -
md2wechat humanize article.md -o output.md
Article Metadata Rules
For convert, metadata resolution is:
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Title:
--title->frontmatter.title-> first Markdown heading ->未命名文章 -
Author:
--author->frontmatter.author -
Digest:
--digest->frontmatter.digest->frontmatter.summary->frontmatter.description
Limits enforced by the CLI:
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--title: max 32 characters -
--author: max 16 characters -
--digest: max 128 characters
Draft behavior:
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If digest is still empty when creating a draft, the draft layer generates one from article HTML content with a 120-character fallback.
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Creating a draft requires
--cover.
Agent Rules
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Start with discovery commands before committing to a provider, theme, or prompt.
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Prefer
generate_coverorgenerate_infographicover a rawgenerate_image "prompt"call when a bundled preset fits the task. -
Validate config before any draft, publish, or image-post action.
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If the user asks for AI conversion or style writing, be explicit that the CLI may return an AI request or prompt rather than final HTML or prose unless the workflow completes the external model step.
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Do not perform draft creation, publishing, or remote image generation unless the user asked for it.
References
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Theme examples and visual guidance:
references/themes.md -
WeChat draft and image-post API details:
references/wechat-api.md -
Markdown image syntax and AI placeholders:
references/image-syntax.md -
HTML conversion notes:
references/html-guide.md -
Writer-style workflow:
references/writing-guide.md -
Humanizer workflow:
references/humanizer.md
Safety And Transparency
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Reads local Markdown files and local images.
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May download remote images when asked.
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May call external image-generation services when configured.
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May upload HTML, images, drafts, and image posts to WeChat when the user explicitly requests those actions.
Weekly Installs377Repositorygeekjourneyx/md…at-skillGitHub Stars759First SeenFeb 5, 2026Security AuditsGen Agent Trust HubFailSocketPassSnykFailInstalled onopencode357codex351gemini-cli350cursor343github-copilot343kimi-cli343
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