md2wechat（md2wechat 图像） Skills下载安装命令和教程

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手，先确认命令和权限，再让它执行。

请帮我安装这个 Agent Skill：md2wechat（md2wechat 图像）
来源仓库：https://github.com/geekjourneyx/md2wechat
安装命令：
openclaw skills install md2wechat
安装前请先检查当前环境是否支持对应 CLI，并向我确认将要执行的命令、安装目录、联网范围和文件读写权限；确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill；本站只展示命令，不托管安装包，也不自动执行。

ClawHubOpenClaw

openclaw skills install md2wechat

简介

将 Markdown 内容转换为微信公众号兼容的 HTML 格式并支持图文排版。

适用于公众号文章创作、草稿生成及多平台内容适配场景。
可自动处理标题层级、图片插入与样式转换，保留原始结构。
使用前需配置微信公众平台相关参数，并注意版权素材合规性。
支持自定义主题风格，适合创作者快速产出符合平台规范的内容。

SKILL.md

name: md2wechat
description: Convert Markdown to WeChat Official Account HTML, inspect supported providers/themes/prompts, generate article images, create drafts, write with creator styles, and remove AI writing traces.
homepage: https://github.com/geekjourneyx/md2wechat-skill
metadata: {"clawdbot":{"emoji":"📝","requires":{"bins":["md2wechat"],"env":["WECHAT_APPID","WECHAT_SECRET"]},"install":[{"id":"brew","kind":"brew","formula":"geekjourneyx/tap/md2wechat","bins":["md2wechat"],"label":"Install md2wechat (brew)"},{"id":"go","kind":"go","module":"github.com/geekjourneyx/md2wechat-skill/cmd/md2wechat@latest","bins":["md2wechat"],"label":"Install md2wechat (go)"}]}}

md2wechat

Use md2wechat when the user wants to:

convert Markdown into WeChat Official Account HTML
inspect resolved article metadata, readiness, and publish risks before conversion
generate a local preview artifact or upload drafts
inspect live capabilities, providers, themes, and prompts
generate covers, infographics, or other article images
create image posts
write in creator styles or remove AI writing traces

Intent Routing

Choose the command family before doing any publish action:

Use convert / inspect / preview when the user wants a standard WeChat article draft (news), HTML conversion, article metadata, article preview, or a draft that needs --cover.
Use create_image_post when the user says 小绿书, 图文笔记, 图片消息, newspic, 多图帖子, or asks to publish an image-first post rather than an article HTML draft.
Do not route 小绿书 / 图文笔记 requests to convert --draft just because the user also has a Markdown article. A Markdown file can still be the image source for create_image_post -m article.md.
Treat convert --draft and create_image_post as different publish targets, not interchangeable command variants.

Defaults And Config

Use this skill only when md2wechat is already available on PATH.
Draft upload and publish-related actions require WECHAT_APPID and WECHAT_SECRET.
Image generation may require additional image-service configuration in ~/.config/md2wechat/config.yaml.
convert defaults to api mode unless the user explicitly asks for --mode ai.
Check configuration in this order:

1. ~/.config/md2wechat/config.yaml 2. environment variables such as MD2WECHAT_BASE_URL 3. project-local md2wechat.yaml, md2wechat.yml, or md2wechat.json

If the user asks to switch API domain, update api.md2wechat_base_url or MD2WECHAT_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 providers show volcengine --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. When choosing an image model, prefer providers show <name> --json and read supported_models before hard-coding --model.

Core Commands

Configuration:

md2wechat config init
md2wechat config show --format json
md2wechat config validate

Conversion:

md2wechat inspect article.md
md2wechat preview article.md
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:

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:

md2wechat create_draft draft.json
md2wechat test-draft article.html cover.jpg
md2wechat create_image_post --help
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:

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:

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:

--title: max 32 characters
--author: max 16 characters
--digest: max 128 characters

Draft behavior:

If digest is still empty when creating a draft, the draft layer generates one from article HTML content with a 120-character fallback.
Creating a draft requires either --cover or --cover-media-id.
--cover is a local image path contract for article drafts. --cover-media-id is for an existing WeChat permanent cover asset. Do not assume a WeChat URL or mmbiz.qpic.cn URL can be reused as thumb_media_id.
inspect is the source-of-truth command for resolved metadata, readiness, and checks.
preview v1 writes a standalone local HTML preview file. It does not start a workbench, write back to Markdown, upload images, or create drafts.
convert --preview is still the convert-path preview flag; it is not the same thing as the standalone preview command.
preview --mode ai is degraded confirmation only; it must not be treated as final AI-generated layout.
--title / --author / --digest affect draft metadata, not necessarily visible body HTML.
Markdown images are only uploaded/replaced during --upload or --draft, not during plain convert --preview.

Agent Rules

Start with discovery commands before committing to a provider, theme, or prompt.
Route by publish target first: article draft => convert; image post / 小绿书 / newspic => create_image_post.
Prefer the confirm-first flow for article work: inspect -> preview -> convert / --draft.
If the user says 小绿书, 图文笔记, 图片消息, newspic, or asks for a multi-image post, prefer create_image_post even when the source content lives in Markdown.
Prefer generate_cover or generate_infographic over a raw generate_image "prompt" call when a bundled preset fits the task.
Validate config before any draft, publish, or image-post action.
If draft creation returns 45004, check digest/summary/description before assuming the body content is too long.
If the user asks for AI conversion or style writing, be explicit that the CLI may return an AI request/prompt rather than final HTML or prose unless the workflow completes the external model step.
Do not perform draft creation, publishing, or remote image generation unless the user asked for it.

Safety And Transparency

Reads local Markdown files and local images.
May download remote images when asked.
May call external image-generation services when configured.
May upload HTML, images, drafts, and image posts to WeChat when the user explicitly requests those actions.

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用；具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.99%

按下载量换算8,121

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置，应进入高风险复核队列，默认不自动发布。

安装前确认

本站仅展示第三方公开信息，不托管安装包，不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源，正式发布前建议补源仓库或其他目录站核验。

来源信息

GitHub 仓库

github.com

/geekjourneyx/md2wechat

SKILL.md 来源

clawhub.ai

/geekjourneyx/md2wechat

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