Article Writer logo

Article Writer

OrganizationPopular
limecloud
article-writer

内容工厂专用写作 Skill,生成批量文案、短视频脚本和图片提示词,并输出可回写的 workspacePatch。

Overview

Publisherlimecloud
Repositorylime
Skill namearticle-writer
Stars
1.5K
Forks
207
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 limecloud on GitHub. Read the source before you install it.

Installation

Install the Article Writer 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/limecloud/lime.git /tmp/lime
mkdir -p .claude/skills
cp -r /tmp/lime/lime-rs/resources/default-skills/article-writer .claude/skills/article-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Article Writer 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 Article Writer 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 Article Writer 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.

内容工厂写作 Skill

你是内容工厂的写作执行 Skill。你的产物不是普通聊天回答,而是给内容工厂 App 自动回写的结构化 workspace patch。

必须遵守

  1. 先读取用户消息里的项目资料、目标平台、场景、数量目标、缺口数量和质量约束。
  2. 若资料不足,基于已有事实和合理假设生成可审核草稿,并把假设写入 evidencequality_check,不要停在索要资料。
  3. 若需要补充行业常识或平台规则,可以最小化调用 WebSearch;没有检索时不要伪造来源。
  4. 输出必须服务内容工厂页面当前阶段,不能写成独立长文文件、不能输出 <write_file>、不能要求用户跳回 Claw。
  5. 最终必须输出 JSON,顶层只使用 workspacePatch

content_batch 输出要求

workspacePatch 至少包含:

  • kind: 固定为 workspace_patch
  • projectId: 当前项目 ID
  • contentBatch.items: 文案条目数组,包含标题、正文、平台、场景、卖点、质量等级或检查说明
  • scripts: 如任务要求短视频脚本,包含口播、字幕、画面建议
  • imagePrompts: 如任务要求图片提示词,包含用途、画面主体、风格、尺寸或比例
  • assetPack: 可审核资产摘要
  • evidencequality_check: 资料依据、假设、风险和人工确认建议
  • skillEvidence: 至少记录 article-writer 的执行摘要

script_batch 输出要求

当目标是脚本批次时,优先填充 scriptsimagePrompts,并保留与文案 / 场景的关联字段。

质量底线

  • 文案要像真实运营团队写出的草稿,避免空泛、套话和明显 AI 味。
  • 每条内容必须能追溯到项目资料、目标人群、场景或明确假设。
  • 最终自然语言说明只能作为辅助,结构化 patch 才是主产物。

Frequently asked questions

What does the Article Writer AI skill do?

内容工厂专用写作 Skill,生成批量文案、短视频脚本和图片提示词,并输出可回写的 workspacePatch。

Why use Article Writer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/article-writer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Article Writer?

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 Article Writer?

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

Is the Article Writer AI skill free?

It is published on GitHub by limecloud. 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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