md2wechatv2.0.7

Writers and content teams can convert Markdown files into WeChat Official Account HTML drafts. The skill inspects metadata, readiness, and publish risks before conversion, and supports previewing and uploading drafts with covers. This streamlines the process of publishing formatted articles on WeChat.

Create image-first posts for WeChat's image post feature (小绿书/图文笔记) using Markdown as source. The skill generates images, uploads them, and creates image posts with titles and optional dry-run. This is ideal for travel diaries, photo essays, or daily check-ins.

Writers can use the skill to rewrite content in specific creator styles (e.g., 'dan-koe') or remove AI writing traces via humanization. It supports fragment input, cover-only generation, and adjustable humanize intensity, helping maintain authentic voice while leveraging AI.

Generate covers and infographics for articles using theme-based presets and AI models. The skill inspects available prompts and providers, selects appropriate aspect ratios, and creates visuals that match the article content. This is useful for enhancing article appeal without manual design.

System administrators or integrators can run discovery commands to list providers, themes, prompts, and versions. This allows dynamic selection of the best AI provider, theme, or image prompt based on live data, ensuring optimal performance and up-to-date configurations.

Offer a subscription service where users pay monthly/yearly for converting Markdown to WeChat drafts, image generation, and AI writing styles. Free tier includes limited conversions; premium unlocks advanced themes, custom prompts, and higher usage quotas.

Provide enterprise plans for teams to manage mass article publishing, cover generation, and consistent creator styles across accounts. Includes admin dashboard, priority support, and custom integrations.

Expose the md2wechat conversion, image generation, and humanization capabilities via a REST API. Developers integrate into their own tools (e.g., CMS, blogging platforms) and pay per request or via monthly tier.