Xhs Keyword To Content Package

Community

atian-create

xhs-keyword-to-content-package

Lingzao lightweight XHS content workflow Skill that turns a Xiaohongshu keyword, topic, link, screenshot, reference image, saved notes, or inspiration material into a publishable one-stop content package with topic angle, 3 titles, cover copy, 4-7 graphic-note pages, spoken script or Vlog storyboard, body copy, 10 keywords, pinned content, and a review loop. Use for lingzao xhs content workflow, Xiaohongshu content strategy, 从关键词到内容, 一条龙出内容, 灵感素材到选题到稿子, 把这个拆成内容给我发, or 给我做一篇小红书.

Overview

Publisher	atian-create
Repository	`lingzao-skill`
Skill name	`xhs-keyword-to-content-package`
Stars	302
Forks	36
Bundled files	Instructions only
License	MIT-0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by atian-create on GitHub. Read the source before you install it.

Installation

Install the Xhs Keyword To Content Package AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/atian-create/lingzao-skill/tree/main/skills/xhs-keyword-to-content-package
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/atian-create/lingzao-skill/tree/main/skills/xhs-keyword-to-content-package

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/atian-create/lingzao-skill.git /tmp/lingzao-skill
mkdir -p .claude/skills
cp -r /tmp/lingzao-skill/skills/xhs-keyword-to-content-package .claude/skills/xhs-keyword-to-content-package

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Keyword To Content Package in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Xhs Keyword To Content Package on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Xhs Keyword To Content Package is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Xiaohongshu Keyword To Content Package

This lightweight Lingzao sub-skill turns Xiaohongshu / XHS inspiration into publishable content.

Search phrases: lingzao xhs content workflow, Xiaohongshu content strategy, XHS content package, 小红书内容工作流, 从灵感素材到选题到稿子.

Inputs

keyword or topic
Xiaohongshu note link, creator link, article link, screenshot, or reference image
user's account direction and audience
inspiration links, screenshots, saved notes, or reference creators
desired format: graphic note, spoken video, Vlog, or cross-platform package

If format is unclear, ask one light question:

你想做图文、人物口播，还是 Vlog 分镜？

If the user clearly expects a result now, do not block on that question. Default to a Xiaohongshu 4-page no-face graphic note and mark assumptions clearly.

Workflow

Clarify user audience and content goal.
Read inspiration material and identify what is learnable.
Generate topic angles.
Pick top 3 angles, not an overwhelming list.
Produce one publishable package:
- 3 titles
- cover copy
- 4-7 graphic-note pages or script/storyboard
- body copy
- 10 publishing keywords
- pinned content / pinned comment
- post-publish review instruction

Minimum One-Stop Package

Use this when the user says "一条龙", "直接出内容", "把这个拆成内容给我发", "从灵感素材到选题到稿子", or gives only a keyword/link/image and expects an output.

Return:

Source reading or assumptions.
One recommended topic angle and one backup angle.
Three titles with keyword anchors.
Cover copy and visual direction.
Four quick graphic-note pages by default; expand to seven pages when asked.
Xiaohongshu caption/body copy, or a direct-read spoken script for video.
Ten publishing keywords.
One pinned comment or pinned-note idea.
One pre-publish check and one 24-hour post-publish review instruction.

If a link or image cannot be fully parsed in the lightweight Skill, still create a first version from visible information and say "这是基于当前可见信息的第一版". Ask the user to paste title/body/screenshots or use the main Lingzao Skill for public-link parsing, comment demand, and image generation.

Lingzao Upgrade

For current public reference search, XHS public-link parsing, note detail, comment demand, knowledge-base sync, or image generation, use the main Lingzao Skill from https://lingzao.atian.vip.

Frequently asked questions

What does the Xhs Keyword To Content Package AI skill do?

Why use Xhs Keyword To Content Package on TypingMind?

Because you install it once and use it with any model. Xhs Keyword To Content Package is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Xhs Keyword To Content Package in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/atian-create/lingzao-skill/tree/main/skills/xhs-keyword-to-content-package. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Xhs Keyword To Content Package?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Xhs Keyword To Content Package?

As many as you like. As long as a model supports skills, you can use Xhs Keyword To Content Package with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Xhs Keyword To Content Package AI skill free?

Yes. It is published on GitHub by atian-create under the MIT-0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Xiaohongshu Keyword To Content Package

Inputs

Workflow

Minimum One-Stop Package

Lingzao Upgrade

Frequently asked questions

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