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liyown / XHSSpec

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liyown.github.ioXHSSpec ai airflow xiaohongshu
41
0
100% credibility
Found Mar 14, 2026 at 41 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

XHSSpec is a workflow system that organizes Xiaohongshu content creation into structured, AI-assisted processes for quick notes, trend responses, and multi-post campaigns.

How It Works

1
🔍 Discover XHSSpec

You hear about a simple system that turns random social media posts into a repeatable process for Xiaohongshu, making content creation organized and AI-friendly.

2
📦 Set up your workspace

You create a special folder for your posts and prepare it with the tool, ready to hold all your ideas and plans.

3
✏️ Define your brand voice

You describe who you are, your audience, what you offer, your tone, and what to avoid, so everything stays consistent.

4
Pick your content path
⚡
Quick note

Turn a single idea into a ready post fast.

🔥
Hot trend

Check if a trending topic fits your brand before posting.

📊
Campaign series

Plan a multi-post series to build deeper engagement.

5
🤖 AI builds your draft

Your AI helper reads your brand and plans, then fills in the outline, draft, and review, making it feel effortless.

6
✅ Review and polish

Check the draft, make tweaks if needed, and prepare a full publish kit with visuals and posting guide.

🚀 Post and learn

Your post is ready to share, archived safely, and lessons saved to make future content even better.

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Star Growth

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AI-Generated Review

What is XHSSpec?

XHSSpec is a TypeScript CLI that turns Xiaohongshu content ops into a spec-driven, AI-powered pipeline. Init a repo with your brand profile, audience, and tone, then spin up workflows via commands like `quick` for one-off ideas, `hot` for trends, or `plan` for multi-note campaigns—AI fills briefs, drafts, reviews, iterates, and bundles publish packages with visual plans and demo HTML. It solves the "write once, post everywhere" trap by enforcing completeness checks, status tracking, and knowledge archiving.

Why is it gaining traction?

It stands out by plugging straight into AI coding environments like Claude Code, Cursor, or VS Code with slash commands and repo specs, skipping generic prompt engineering. Developers get engineering rigor—validation, state machines, retrospective stubs—for social content, plus auto-generated assets like first-screen strategies and screenshot demos. The hook: repeatable quality without manual copy-pasting.

Who should use this?

DevRel engineers or tech marketers posting AI workflows, tools, or efficiency hacks on Xiaohongshu. Solo creators chasing trends or running note series who want AI to handle 80% of the grunt work. TypeScript fans building personal brands via structured content systems.

Verdict

Grab it if you're in the niche—solid docs, CLI ergonomics, and smoke-tested workflows make it usable now despite 40 stars and 1.0% credibility score. Early maturity means watch for edge cases in campaigns, but the spec model scales well.

(198 words)

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