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tance-mang
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中文网文平台趋势与喜好实时调研。当用户想知道当下番茄/晋江/起点/UC/知乎盐选/Webnovel 平台流行什么题材、热门标签、上榜套路、读者偏好,或要做选题前的市场调研、追风口时使用。优先用联网搜索拉取最新数据,给可执行的选题/标签建议。

Overview

Publishertance-mang
Repositorychinese-webnovel-skills
Skill nametrends
Stars
96
Forks
15
Bundled files
Instructions only
LicenseMIT
Links
  • 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 tance-mang on GitHub. Read the source before you install it.

Installation

Install the Trends AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tance-mang/chinese-webnovel-skills/tree/main/skills/trends
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/tance-mang/chinese-webnovel-skills.git /tmp/chinese-webnovel-skills
mkdir -p .claude/skills
cp -r /tmp/chinese-webnovel-skills/skills/trends .claude/skills/trends
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trends 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 Trends 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 Trends 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.

平台趋势调研(trends)

网文是追风口的生意。本技能拉取当下各平台流行什么,帮作者选对题材、贴对标签。

⚠️ 数据时效说明

平台喜好会变,本技能优先使用联网搜索(WebSearch)拉取最新数据;若环境无联网工具,则基于 references/platform-profiles.md 给出常青判断并明确提示"非实时,建议联网核对"。

何时用

  • 开新书前的市场调研("现在番茄流行什么")
  • 查某平台当下热门标签/题材/榜单
  • 追风口、找蓝海题材
  • 想了解某平台读者最近的偏好变化

工作流

第 1 步:明确范围

确认:哪个平台?男频/女频?要题材趋势还是热门标签还是榜单? (知乎盐选偏短篇付费;UC 偏中老年下沉;Webnovel 是出海,读者结构不同——调 references/platform-profiles.md)

第 2 步:联网调研

用 WebSearch 检索(示例查询):

  • "<平台> 男频/女频 热门题材 <当前年月>"
  • "<平台> 新书榜 / 飙升榜 <当前月>"
  • "<平台> 签约 热门标签 <当前年>"
  • "网文 风口 题材 <当前季度>" 聚合多条结果,去重,标注信息时间。

第 3 步:输出趋势报告

【平台 + 频道 + 调研时间】
【当下热门题材】Top 5(+ 简评:还能不能进 / 是否已红海)
【热门标签】可直接用的标签清单(按热度)
【上榜套路】当下榜单常见的金手指/爽点套路
【读者偏好变化】最近在追什么、厌倦了什么
【蓝海建议】竞争小但有需求的细分方向
【选题建议】结合趋势的 2-3 个可写方向
【数据来源 + 时效】(列出处,标注非官方/可能滞后)

第 4 步:衔接选题

把趋势结论喂给 idea 生成具体选题,喂给 submission 选对标签。

让它"日常更新"(自动化)

静态插件本身不会自己更新数据,但可以让它每天自动跑:

  • 用 Claude Code 的定时/循环能力,例如每天早上自动运行本技能查某平台趋势(参考 /schedule 或 /loop)。
  • 或作者手动每周跑一次,存进自己的 book-bible 追踪。

原则

  • 务必标注数据时效和来源,网文趋势过期很快。
  • 区分"还能进的风口"和"已经红海的题材",别让作者追到尾部。
  • 出海平台(Webnovel 等)的偏好和国内不同,分开判断。

下一步

趋势定了 → 用 idea 落选题、submission 配标签。

Frequently asked questions

What does the Trends AI skill do?

中文网文平台趋势与喜好实时调研。当用户想知道当下番茄/晋江/起点/UC/知乎盐选/Webnovel 平台流行什么题材、热门标签、上榜套路、读者偏好,或要做选题前的市场调研、追风口时使用。优先用联网搜索拉取最新数据,给可执行的选题/标签建议。

Why use Trends on TypingMind?

Because you install it once and use it with any model. Trends 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 Trends in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tance-mang/chinese-webnovel-skills/tree/main/skills/trends. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trends?

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 Trends?

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

Is the Trends AI skill free?

Yes. It is published on GitHub by tance-mang under the MIT 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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