Wenzi Xiaohongshu Growth System
A six-part Xiaohongshu workflow for positioning, topic strategy, humanized drafts, publishing plans, and review loops.
Free
Works with the AI tools you already use
Claude Code
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Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsWenzi Xiaohongshu Growth System
Example session with this skill installed
I am a humanities graduate who uses AI for writing and knowledge management. I want to serve non-technical professionals and may later offer consulting or a course. Help me define my Xiaohongshu positioning and plan the first 10 posts. Do not invent credentials or performance data.
- Read your context and instructions
- Compiled the wenzi xiaohongshu growth
Positioning summary
Your strongest starting position is not “AI news” but
practical AI workflows for non-technical professionals. The account should build trust through real use cases, before/after workflow details, and honest limits rather than broad productivity claims.
| Element | Recommendation |
|---|---|
| Audience | Non-technical knowledge workers who want clearer, faster writing and knowledge workflows |
| Core problem | They know AI can help but cannot turn scattered prompts into a repeatable method |
| Trust path | Show real tasks, decisions, mistakes, saved steps, and reusable templates |
| Possible offer | Start with consulting discovery; validate repeated needs before defining a course |
| Content promise | Every post turns one fuzzy AI task into a concrete workflow a reader can try |
First 10 posts
- Why I stopped collecting prompts and started building workflows — personal turning point; introduce the account promise.
A real writing task: from messy notes to a usable outline — screen-by-screen method; include what still required human judgment.
3. Three AI mistakes I made as a humanities graduate — evidence-led reflection, not generic warnings.
4. The one-page context file I reuse before asking AI to write — practical template with boundaries.
5. AI did not save this draft; a better question did — before/after reasoning example.
6. How I decide whether a task should use AI at all — decision checklist and limitations.
7.
My weekly knowledge-management review in 20 minutes — workflow breakdown without claiming universal time savings.
8. Five sentences that make an AI draft sound unlike you — diagnostic examples and corrections.
9. What non-technical colleagues actually ask me about AI — use only real questions supplied by the creator.
10. After 10 posts: what I will measure before changing direction — saves, comments, follows, profile visits, and repeated questions.
Voice and visual direction
Use calm, specific first-person language. Prefer one real scene or artifact per post. Avoid exaggerated claims such as “10x efficiency” unless the creator can document the measurement. For visual consistency, use a 3:4 cover, one clear promise, restrained colors, and 6–8 slides only when the topic benefits from a sequence.
Next steps
- Provide three real work examples and five sentences you naturally say.
- Choose one offer hypothesis to test through conversations, not sales claims.
- Draft posts 1–3, then run the humanize and publication-check module.
- After the first 10 posts, record reach, saves, comments, follows, and qualitative questions before revising the positioning.
Connects securely to your tools. The creator never sees your data.
About this skill
Turn Xiaohongshu content from one-off prompting into a repeatable operating system. This skill routes the agent through six focused modules: monetization-first positioning, reusable account profiles, low-follower breakout pattern analysis, structured topic banks, humanized draft revision, and publishing/review loops.
What it delivers
- A positioning card tied to a real offer and target audience
- A reusable account profile covering voice, proof, boundaries, and visual identity
- A structured topic and title bank with hooks, cover directions, and user value
- A humanized, publication-ready draft based on the creator's real experience
- First-10-post or 30-day publishing plans plus data-based review notes
- Transferable pattern analysis from relevant Xiaohongshu examples
How it works
The skill identifies the creator's current stage, loads only the relevant module, and preserves durable conclusions for later sessions. For a full cold start, it moves from monetization and positioning to account profile, launch plan, topic bank, draft refinement, pattern analysis, and review.
Built-in safeguards
It does not invent personal stories, results, or platform data; copy another creator's wording; promise followers, traffic, or revenue; or publish content without approval. Recommendations remain hypotheses until supported by the creator's real data.
Best for
Creators, consultants, personal brands, and social media managers who want a systematic Xiaohongshu workflow instead of generic social-media advice.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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