Xiaohongshu Publisher

Xiaohongshu Publisher

Prepare Xiaohongshu-native posts that make technical work approachable through clear titles, visual evidence, concise Chinese copy, and a useful takeaway. A request to publish or a queue item marked 排队 authorizes the final post; do not ask again at the last button. Stop only for a draft or preview task.

Inputs

• Source Markdown path, project, repo URL, paper, screenshot set, or topic.
• Intended reader, title direction, media assets, or posting account when specified.
• Optional canonical link, GitHub link, tags, cover concept, or follow-up plan.

If the source path is missing, inspect .github/publisher/posts_queue.txt, .github/publisher/media/not-published.md, recent docs/blog/posts/, and relevant GitHub repos before asking the user.

Platform Entry Points

• Discovery/search: https://www.xiaohongshu.com/explore
• Creator center: https://creator.xiaohongshu.com/

Use a browser surface with the logged-in session when UI work is required. Never bypass authentication with search results or alternate sources.

References

Load references/platform-preferences.md when choosing Xiaohongshu-native title, cover, note shape, carousel plan, body length, tags, link treatment, platform-observation scan, or promotion balance.

Browser-Only Platform Boundary

Do not directly access Xiaohongshu APIs, internal endpoints, background HTTP interfaces, or scraped datasets. All observation, drafting, QA, screenshots, and ledger evidence must come from normal browser interactions that a regular logged-in user can perform: navigating pages, searching, scrolling, opening rendered notes, reading visible content, using the editor UI, and capturing screenshots.

Draft Preparation

1. Read the source and identify the reader problem, visible artifact, practical takeaway, proof, and one low-friction next step.
2. Run a short platform-observation scan only when the user asks to improve native fit or when the topic has no recent local pattern. Keep it light: record the few observations that will change the draft, and do not copy wording or hooks from other creators.
3. Choose the format:
   • single note for one sharp observation, screenshot, diagram, or result
   • carousel for a mini walkthrough, comparison, checklist, or debugging story
   • longer body only when the note needs context after the visual hook
4. Draft from Chinese-native structure, not from a translated LinkedIn post.
5. Keep GitHub/eunomia.dev/paper links as sources or next steps after the note already gives useful value.

Draft Archive

Before opening the Xiaohongshu editor, write or update the draft under draft/media/YYYY-MM-DD/<source-slug>/xiaohongshu.md using the local date. Include the paste-ready title, body, cover concept, image/carousel plan, source links, tags, first-screen check, browser-observation notes when used, and QA state.

Browser QA

• title and cover communicate the concrete problem or result at first glance
• first screen is understandable without clicking an external link
• carousel order works as a visual story, not just cropped paragraphs
• images, diagrams, code screenshots, and captions are legible on mobile
• tags are relevant and minimal
• account, visibility, and publish settings are intentional
• no confidential customer, partner, roadmap, pricing, or strategy information appears
• the final action matches the task: published when authorized, untouched for a draft-only task

Follow-Up

After a confirmed publish, capture the public URL and monitor comments, saves, messages, and repeated reader questions only when the user asks or follow-up was part of the task. Draft replies that add technical context, source links, or concrete next steps. Do not send private messages, likes, follows, comments, or reposts without explicit instruction.

Ledger Update

After confirmed publish, update .github/publisher/media/published.md with source path, Xiaohongshu URL, date, format, media, link target, tags, and follow-up notes. Record useful formatting or audience lessons in this skill or its references so the next Xiaohongshu launch starts from the learned pattern.