Huashu Research

CommunityPopular

alchaincyf

huashu-research

结构化网络调研流程，确保调研成果增量保存到文件，不因会话截断丢失。当用户说"调研"、"搜索资料"、"帮我查一下"、"了解一下"、"最新信息"时使用此技能。

Overview

Publisher	alchaincyf
Repository	`huashu-skills`
Skill name	`huashu-research`
Stars	1.6K
Forks	244
Bundled files	Instructions only
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 alchaincyf on GitHub. Read the source before you install it.

Installation

Install the Huashu Research 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.
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.

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-research .claude/skills/huashu-research

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

Use it in TypingMind

Enable Huashu Research 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 Research 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 Research 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.

调研 Skill

结构化的网络调研流程，核心目标：调研成果实时持久化，防止会话截断丢失工作。

何时使用

为写文章做前期调研
了解新产品、新技术、新发布
搜集竞品信息或行业动态
任何需要多次 WebSearch 的信息搜索任务

执行流程

Step 1: 立即创建调研文件

在开始搜索之前，先创建文件
路径：_knowledge_base/research-<主题>-<YYYYMMDD>.md
初始内容包含：调研目标、关键问题、预期输出

markdown
# [主题] 调研笔记

调研日期：YYYY-MM-DD
调研目标：[一句话说明]

## 关键问题
1. [问题1]
2. [问题2]
3. [问题3]

## 发现

（调研中逐步填充）

## 来源列表

（每次搜索后追加）

Step 2: 搜索并增量保存

每次 WebSearch 后，立即将发现追加到文件
每条发现附上来源 URL 和日期
遵循信息源优先级（见 SHARED-RULES.md）

Step 3: 阶段摘要

每完成3次搜索，在文件中保存一次「阶段摘要」
格式：### 阶段摘要 (第N轮) + 当前关键发现

Step 4: 最终简报

调研结束时，整理文件为结构化简报：

markdown
## 调研结论

### 关键事实
1. [事实1]（来源：URL）
2. [事实2]（来源：URL）

### 来源列表
| 来源 | URL | 发布日期 | 可信度 |
|------|-----|---------|--------|
| ... | ... | ... | 高/中/低 |

### 待确认问题
- [还需要进一步验证的点]

### 写作建议
- [基于调研结果，对后续写作的建议]

关键原则

先建文件再搜索：确保第一次搜索结果就被保存
增量保存不等到最后：每次搜索后立即追加
调研和写作分离：本 Skill 只做调研，不开始写草稿
标注可信度：区分一手信息（官方）和二手信息（媒体/社区）
忽略过时信息源：知乎/百度（2025年前）、营销软文

与其他 Skill 的关系

调研完成后，用户可触发 /选题生成来确定写作方向
调研文件将作为后续写作的输入素材
如果调研中发现的信息适合长期留存，保存到对应的 _knowledge_base 分类目录

输出位置

调研笔记：_knowledge_base/research-<主题>-<YYYYMMDD>.md
长期知识：_knowledge_base/<分类>/<主题>-<YYYYMM>.md

最后更新: 2026-02-06

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Frequently asked questions

What does the Huashu Research AI skill do?

Why use Huashu Research on TypingMind?

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

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

Which AI models can use Huashu Research?

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 Research?

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

Is the Huashu Research 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

调研 Skill

何时使用

执行流程

Step 1: 立即创建调研文件

Step 2: 搜索并增量保存

Step 3: 阶段摘要

Step 4: 最终简报

关键原则

与其他 Skill 的关系

输出位置

Frequently asked questions

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