WeChat Article Assistant

What Problem It Solves

Teams building AI product features often have real cases of saving user time, but turning those cases into WeChat articles can still feel like feature marketing. The result is often too abstract: it names a capability, lists benefits, and pushes a product, but readers cannot see where they would use it or what to do first. WeChat Article Assistant frames the content problem as a concrete writing task: explain one specific scenario, show the pain point, connect with shared experience, explain why it is hard, then present an AI workflow with practical details.

How It Works

The skill treats article writing as a structured production flow rather than a one-shot prompt:

• Topic and evidence: confirm the scenario, audience, pain point, and before/after data, such as meeting notes, weekly reports, customer replies, or report cleanup.
• Five-part structure: develop the post as problem, empathy, cause, solution, and gentle call to action, using a first-person, conversational tone with concrete details.
• Deliverables: produce 3-5 title options, a full draft, suggested bold highlights, image suggestions, and publishing recommendations.
• Semi-automatic imagery: generate warm illustration or cartoon-style images for selected sections, using 1024x1024 squares and no text prompts for cleaner WeChat layout.
• Draft publishing: call scripts/publish_to_wechat.py to convert the Markdown draft into WeChat-compatible HTML and upload it to a subscription or service account draft box.

Scope and Caveats

This is most useful for practical content about AI solving specific work problems, especially when the author has real cases, tool steps, or measurable outcomes. If the input lacks concrete data or workflow details, the draft still needs human fact-checking. Unverified accounts may have posting limits, images may need to be uploaded to the WeChat material library first, and drafts usually still require manual review before public release.