Huashu Article Edit logo

Huashu Article Edit

CommunityPopular
alchaincyf
huashu-article-edit

标准化文章编辑流程,确保修改范围明确、进度可追踪、变更有记录。当用户说"编辑文章"、"修改文章"、"调整内容"、"改一下这篇"时使用此技能。

Overview

Publisheralchaincyf
Repositoryhuashu-skills
Skill namehuashu-article-edit
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 Article Edit 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-article-edit .claude/skills/huashu-article-edit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huashu Article Edit 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 Article Edit 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 Article Edit 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.

文章编辑 Skill

标准化的文章编辑流程,解决会话截断导致编辑工作丢失的问题。

何时使用

  • 用户要求编辑、修改、优化已有文章
  • 需要对文章进行多处修改
  • 内容删减、语气调整、结构重组等编辑工作

执行流程

Step 1: 完整阅读目标文章

  • 用 Read 工具完整阅读文章
  • 快速理解文章主题、结构、当前状态

Step 2: 列出所有修改项

  • 根据用户需求,列出所有需要修改的项目
  • 每项标明:位置(哪个段落)、修改类型(删除/重写/调整)、具体内容
  • 等待用户确认范围后再动手

Step 3: 增量编辑 + 实时保存

  • 每完成一组相关修改就保存文件
  • 每完成3-5项修改,向用户汇报进度:
    进度:已完成 X/Y 项
    ✅ 已完成:[列表]
    ⏳ 待完成:[列表]

Step 4: 完成后总结

  • 列出所有变更的摘要
  • 说明每处修改的理由
  • 如有引用外部信息,附上来源

关键原则

  • 先确认再动手:不假设修改范围
  • 边改边存:每批修改后立即保存,防截断丢失
  • 变更透明:用户清楚知道改了什么、为什么改
  • 保持风格:修改后仍需符合花生的写作风格(参见 SHARED-RULES.md)

与审校流程的关系

  • 编辑完成后,如用户需要可触发三遍审校(/AI味审校)
  • 编辑 Skill 聚焦「按需求改」,审校 Skill 聚焦「降AI味」

最后更新: 2026-02-06


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 Article Edit AI skill do?

标准化文章编辑流程,确保修改范围明确、进度可追踪、变更有记录。当用户说"编辑文章"、"修改文章"、"调整内容"、"改一下这篇"时使用此技能。

Why use Huashu Article Edit on TypingMind?

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

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

Which AI models can use Huashu Article Edit?

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 Article Edit?

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

Is the Huashu Article Edit 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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