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Huashu Info Search

CommunityPopular
alchaincyf
huashu-info-search

多渠道搜索新产品新技术,交叉验证后存入知识库。当用户提到"最新信息"、"新产品"、"搜索资料"、"查资料"、"了解XX"时使用。

Overview

Publisheralchaincyf
Repositoryhuashu-skills
Skill namehuashu-info-search
Stars
1.6K
Forks
244
Bundled files
Instructions only
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 alchaincyf on GitHub. Read the source before you install it.

Installation

Install the Huashu Info Search 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.
  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/alchaincyf/huashu-skills.git /tmp/huashu-skills
mkdir -p .claude/skills
cp -r /tmp/huashu-skills/huashu-info-search .claude/skills/huashu-info-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huashu Info Search 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 Huashu Info Search 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 Huashu Info Search 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.

信息搜索与知识管理

涉及新产品/新技术时,自动执行多渠道搜索、验证信息、保存知识库。

何时使用

  • 涉及新产品/新技术(3个月内发布)
  • 需要最新信息验证
  • 用户说"搜索一下"、"查最新信息"

核心功能

  1. 多渠道搜索:官方+媒体+社区
  2. 信息源优先级:权威媒体优先,忽略知乎/百度2025年前
  3. 知识管理:保存到 _knowledge_base/,标注来源和时间

搜索策略

搜索内容

  • 产品/技术的官方信息(发布时间、特性、定价)
  • 科技媒体报道(TechCrunch, The Verge, Medium等)
  • 社区讨论(Reddit, Hacker News, X/Twitter)
  • 竞品对比信息
  • 相关概念解释

信息源优先级

✅ 优先采信(半年内)

  1. 权威科技媒体(TechCrunch, The Verge, MIT Tech Review)
  2. 社区论坛(Reddit, Hacker News)
  3. 官方文档和研究

❌ 完全忽略

  • 知乎、百度:2025年之前的信息全部忽略
  • 过时内容:超过半年(6个月)
  • 营销软文

关键词组合

  • 主题 + 年份:"AI detection 2025"
  • 主题 + best practice:"AI text humanization best practices"
  • 主题 + Reddit:"AI writing detection reddit 2025"

知识管理

保存格式

文件命名:[主题]-[时间].md

markdown
# [主题]相关信息

**信息收集时间**:2025-XX-XX
**下次更新建议**:2025-XX-XX

## 核心发现
- 发现1
- 发现2

## 数据和链接
- 官方文档:xxx
- 媒体报道:xxx

## 信息来源
1. [来源1](链接)
2. [来源2](链接)

保存位置

  • 公众号写作:/公众号写作/_knowledge_base/
  • 视频创作:/视频创作/_knowledge_base/

注意事项

  • 所有信息必须标注来源和时间
  • 不确定的信息向用户说明
  • 信息冲突时,优先采信权威来源

最后更新: 2025-11-07


花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作:小猫补光灯(AppStore付费榜Top1)·《一本书玩转DeepSeek》

Frequently asked questions

What does the Huashu Info Search AI skill do?

多渠道搜索新产品新技术,交叉验证后存入知识库。当用户提到"最新信息"、"新产品"、"搜索资料"、"查资料"、"了解XX"时使用。

Why use Huashu Info Search on TypingMind?

Because you install it once and use it with any model. Huashu Info Search 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 Huashu Info Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alchaincyf/huashu-skills/tree/master/huashu-info-search. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Huashu Info Search?

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 Huashu Info Search?

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

Is the Huashu Info Search AI skill free?

It is published on GitHub by alchaincyf. Check the repository for licensing terms. 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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