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Skill Publish Checklist

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ZJU-REAL
skill-publish-checklist

发布前完整性检查：逐项检查标题、封面、标签、格式、合规标记、链接、CTA 是否齐全， 确保内容没有遗漏就能发布。当用户说"检查一下能不能发"、"发布前检查"、"checklist"、 "查漏补缺"、"发之前看一眼"、"发布清单"、"漏了什么没"、"能发了吗"时触发。 和 skill-quality-gate 的区别：quality-gate 做深度合规审核和质量评分， publish-checklist 只做"有没有漏东西"的快速完整性检查。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-publish-checklist
Stars
3.5K
Forks
535
Bundled files
1
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Publish Checklist 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.
    https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-publish-checklist
  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/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-publish-checklist .claude/skills/skill-publish-checklist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Publish Checklist 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 Skill Publish Checklist 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 Skill Publish Checklist 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.

发布前完整性检查

发布前的最后一道关卡，逐项检查内容是否齐全，防止漏标题、漏封面、漏标签等低级错误。

与其他 SKILL 的区别

SKILL定位检查深度
publish-checklist（本 SKILL）完整性检查——"有没有漏东西"浅层，逐项打勾
skill-quality-gate深度合规 + 质量审核深层，评分 + 返工
skill-persona-check人设一致性风格/调性维度
skill-risk-scanner原创度 + 版权抄袭/侵权维度

输入

用户提供待发布的内容，支持以下形式：

  • 产物目录路径：指向 outputs/主题名/ 下的完整产物目录（含 meta.json、正文、图片等）
  • 单篇文案文本：直接贴文案内容
  • 混合：文案 + 图片路径 + meta.json

可选指定目标平台（小红书、抖音、微博、公众号、LinkedIn、X 等），未指定时做通用检查。

输出

输出结构化检查报告，JSON 格式：

json
{
  "status": "ready | not_ready",
  "score": "7/10",
  "platform": "平台名或generic",
  "checklist": [
    {
      "item": "检查项名称",
      "status": "pass | fail | warn",
      "detail": "具体说明"
    }
  ],
  "blocking_issues": ["必须修复才能发布的问题"],
  "warnings": ["建议修复但不阻塞发布的问题"],
  "summary": "一句话总结：可以发 / 还差什么"
}
  • status 为 ready：所有必检项通过，可以发布
  • status 为 not_ready：存在阻塞问题，列出待修复项

执行步骤

Step 1 — 识别内容形态与目标平台

  1. 判断输入是产物目录还是单篇文案
  2. 如果有 meta.json，读取其中的 platform、type（图文/视频）、title、tags 等字段
  3. 如果有 Profile 上下文，读取 platform 字段确定目标平台
  4. 无法确定平台时，使用通用检查清单

Step 2 — 逐项检查（通用清单）

按以下维度逐项检查，标记 pass / fail / warn：

必检项（fail 则阻塞发布）：

#检查项检查内容
1标题是否有标题；标题长度是否在平台限制内
2正文/内容是否有实质内容；是否为空或占位符
3封面/首图图文帖是否有封面图；视频是否有封面帧
4格式完整Markdown 结构是否完整；图片引用是否有效；链接是否可访问

建议项（warn 但不阻塞）：

#检查项检查内容
5标签/Hashtags是否有标签；数量是否在 3-10 个合理区间
6CTA（行动号召）是否有引导互动的语句（点赞、收藏、关注、评论等）
7链接有效性正文中的 URL 是否格式正确
8图片规格图片尺寸是否符合平台要求（竖版/横版/正方形）
9文案长度字数是否在平台推荐范围内
10Emoji 使用是否有适当 emoji 增强可读性（视平台而定）

Step 3 — 平台特有检查（有平台信息时追加）

根据目标平台追加检查项：

小红书：

  • 卡片数量是否在 3-9 张
  • 每张卡片文字是否 ≤ 80 字
  • 是否有 caption（发布配文）
  • 封面是否为 3:4 竖版（1080×1440，小红书标准比例）

抖音/视频号：

  • 视频时长是否在限制内
  • 是否有字幕文案
  • 封面是否有吸引力标题

微博：

  • 正文是否 ≤ 2000 字
  • 话题标签格式是否正确（#话题#）

公众号：

  • 是否有摘要/导语
  • 是否有原文链接
  • 封面图尺寸是否为 2.35:1

X/Twitter：

  • 单条是否 ≤ 280 字符
  • 是否需要拆分为 thread

LinkedIn：

  • 正文是否 ≤ 3000 字符
  • 是否有专业性 CTA

以上平台字数/尺寸为参考值（as of 2026-07），以平台最新规则为准（如 X Premium 已放宽单条字数上限）。

Step 4 — 生成检查报告

  1. 汇总所有检查项结果
  2. 统计通过数 / 总数，计算完成度分数
  3. 区分阻塞问题（blocking_issues）和建议（warnings）
  4. 判定 status：有任何 fail 项则为 not_ready，否则为 ready
  5. 生成一句话总结

Step 5 — 输出结论与建议

  • ready：告知用户可以发布，列出优化建议（如有）
  • not_ready：明确列出缺失项，给出具体补全指引

Profile 感知

  • 有 Profile：读取 platforms.md 确定目标平台，启用平台特有检查项；读取 style.md 辅助判断封面风格是否匹配；读取 identity.md 检查账号名称等信息完整性
  • 无 Profile：只做通用完整性检查（Step 2），跳过平台特有检查；报告中附注"如提供账号 Profile（含平台信息），可启用平台特有检查项"

自研溯源与参考项目见同目录 EASEL-META.md。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Publish Checklist AI skill do?

发布前完整性检查：逐项检查标题、封面、标签、格式、合规标记、链接、CTA 是否齐全， 确保内容没有遗漏就能发布。当用户说"检查一下能不能发"、"发布前检查"、"checklist"、 "查漏补缺"、"发之前看一眼"、"发布清单"、"漏了什么没"、"能发了吗"时触发。 和 skill-quality-gate 的区别：quality-gate 做深度合规审核和质量评分， publish-checklist 只做"有没有漏东西"的快速完整性检查。

Why use Skill Publish Checklist on TypingMind?

Because you install it once and use it with any model. Skill Publish Checklist 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 Skill Publish Checklist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-publish-checklist. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Publish Checklist?

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 Skill Publish Checklist?

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

Is the Skill Publish Checklist AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. 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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