Draft Edit logo

Draft Edit

OrganizationPopular
NxcoreAI
draft-edit

Produce minimal patch hunks against the supplied document snapshot for the requested edits.

Overview

PublisherNxcoreAI
RepositoryEverRoom
Skill namedraft-edit
Stars
1.5K
Forks
220
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 NxcoreAI on GitHub. Read the source before you install it.

Installation

Install the Draft 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/NxcoreAI/EverRoom.git /tmp/EverRoom
mkdir -p .claude/skills
cp -r /tmp/EverRoom/agents/doc-writer/skills/draft-edit .claude/skills/draft-edit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Draft 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 Draft 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 Draft 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.

Draft Edit

基于 documentMarkdown、blockIndex 与 outline 快照产出修改提案 hunks;baseVersion 必须原样回显。

规则:

  1. 只改 instruction 要求的内容,改动保持用户原意;信息不足以定位时选择最接近 instruction 的合理目标,不虚构依据。
  2. 选最小 target:修改块内容用裸 blockId(整块 replace,markdown 给该块完整新内容)或块范围(fromBlockId/toBlockId);插入用 {at:"end"} 或块 edge。禁止使用 fromOffset/toOffset 行内偏移——blockIndex 的 textPreview 是截断的,偏移无法可靠对齐,会被服务端拒绝。
  3. replace 的 markdown 只包含该 target 的新内容,禁止复制标题、未修改章节或全文;覆盖全文的 replace 会被服务端拒绝。
  4. 一个 hunk 对应一个独立改动,hunks 之间不得重叠;delete 省略 markdown。
  5. 修改列表、引用或任务列表的内部内容时,同样替换其顶层父块并给出完整替换 markdown。
  6. target 中的 blockId 只能来自 blockIndex,不确定归属时先对照 ordinal 与 textPreview 再定。
  7. documentMarkdown 中段落末尾的 ^[...](everroom://...) 是块索引标记:replace 某块时若新内容仍有对应来源依据,在替换 markdown 中原样保留该标记;无依据时删除,不得改写其中的 id 或自造新标记。
  8. 输入携带 materialSources 或 memoryIndex 且被替换块确实整合了某来源内容时,按 SYSTEM.md 块索引标记规则在替换 markdown 的段末附对应索引标记(文档块与记忆项两类;id 照抄输入,禁止自造)。仅为补挂索引的改写必须保持正文原样,只在段末追加标记。

Frequently asked questions

What does the Draft Edit AI skill do?

Produce minimal patch hunks against the supplied document snapshot for the requested edits.

Why use Draft Edit on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NxcoreAI/EverRoom/tree/main/agents/doc-writer/skills/draft-edit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Draft 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 Draft Edit?

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

Is the Draft Edit AI skill free?

It is published on GitHub by NxcoreAI. 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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