What problem does it solve? Writing authentic first-person experience articles for WeChat Official Accounts is hard to delegate to AI without the model fabricating personal stories, data, or results. This Skill turns an author's explicitly provided experiences, materials, and judgments into a structured Markdown article while strictly separating what the author lived from what sources say and what the model merely suggests. ## Core Features & Use Cases - Fact-tiered writing: Distinguishes author_experience, user_material, and model_suggestion so first-person narration never invents experiences, data, or outcomes. - Source attribution: Web search, news search, and local document search results are cited with titles and URLs or document paths, never disguised as personal experience. - Editorial gates: Requires at least one explicit author experience, keeps the article within 1000-1800 visible characters, ends with a topic-specific reader question, and stops drafting when the material cannot support the topic. - Use Case: A creator provides notes about migrating a blog to a new framework, plus two reference links. The Skill produces a 1200-character WeChat article narrating the real migration experience, citing the references, and flagging which conclusions are personal judgment. ## Quick Start Ask the assistant to use the wechat-mp-personal-writing skill to write a WeChat experience article based on your provided personal notes and reference materials.
