Skill Cross Platform Publish logo

Skill Cross Platform Publish

OrganizationPopular
ZJU-REAL
skill-cross-platform-publish

跨平台一键发布：一份内容适配并发布到多个平台（小红书/抖音/B站/公众号/快手/视频号/知乎）。 按各平台格式约束（字数/比例/标签/内容类型）适配内容，再逐个委派对应平台发布 SKILL。 当用户说"一键发布""同时发到多个平台""多平台发布""一稿多发""全平台发""发到抖音+小红书+B站" "分发到各平台"时使用。适配由 LLM 做，路由与约束检查由 scripts/publish_dispatch.py。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-cross-platform-publish
Stars
1.2K
Forks
175
Bundled files
2
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.

  • 2 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 Cross Platform Publish 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/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-cross-platform-publish .claude/skills/skill-cross-platform-publish
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Cross Platform Publish 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 Cross Platform Publish 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 Cross Platform Publish 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.

跨平台一键发布

一稿多发：按各平台规范适配同一份内容，再逐平台委派发布 SKILL。走 scripts/publish_dispatch.py（约束检查 + 平台→publisher 路由 + 派发计划）。 内容适配由你（LLM）完成，实际发布委派各平台 publisher SKILL。

支持平台 → 发布 SKILL

平台publisher SKILL
xiaohongshuskill-xhs-publisher ✅
douyinskill-douyin-upload ✅
wechat（公众号）skill-wechat-publisher ✅
bilibiliskill-bilibili-upload ✅
kuaishouskill-kuaishou-upload ✅
weixin-channels（视频号）skill-channels-upload ✅
zhihuskill-zhihu-publisher ✅

python <skill>/scripts/publish_dispatch.py platforms 看全部平台及约束。

输入

内容清单 manifest（JSON）：

json
{
  "content": {"title": "...", "body": "...", "tags": ["...", "..."], "media_type": "video"},
  "platforms": ["xiaohongshu", "douyin", "bilibili"]
}

执行流程

脚本路径：skills/openclaw/skill-cross-platform-publish/scripts/publish_dispatch.py。

bash
# 1) 生成派发计划（校验各平台越限 + 路由到 publisher）
python skills/openclaw/skill-cross-platform-publish/scripts/publish_dispatch.py plan --manifest content.json
  1. 按计划为每个平台适配内容（你来做）：
    • 依 constraints_note 与 warnings 精简标题/正文、删减标签、调整话题格式。
    • 依 recommend_aspect 决定是否用 video-reframe 转比例（如竖版转横版发 B站）。
    • 语气/话题按平台生态本地化（小红书亲和+emoji、B站梗、知乎专业、抖音短平快）。
  2. 发布前人设检查（有 Profile 时，见 AGENTS.md「发布前人设一致性检查」）： 对适配后的各平台内容跑 skill-persona-check，评分喂 python skills/shared/scripts/persona_gate.py check --score 85—— 低于 80 分时告知分数、偏离点和修改建议，但不阻断发布；用户已明确要发布就继续执行。
  3. 逐平台发布：调用 dispatch[i].publisher 对应的发布 SKILL 执行。
  4. 发布后：skill-publish-notify 推送结果；skill-short-link 生成带 UTM 追踪短链； 并把本次发布登记进 manifest 供归因层消费： 
    python skills/shared/scripts/manifest.py record --topic 露营攻略 \
  --layer publish --skill skill-cross-platform-publish --profile 户外达人 \
  --upstream outputs/露营攻略/article.md --summary "已发 小红书/抖音/B站"

    发布记录已由 publisher 脚本在 --exec 成功时自动落「内容日历（_schedule.json）+ skill-publish-log」，无需手动补记（重复会双记）。仅当要补 --persona-score/--persona-verdict 等元数据时，再单独调 skill-publish-log 追加。

Profile 感知

  • 有 Profile：默认目标平台取 platforms.md 已开通的账号；各平台语气/话题贴合 style.md； 合规底线遵守 preferences.md。
  • 无 Profile：询问目标平台，用平台通用规范适配。

规则

  1. 不要一稿原样多发——每个平台按其约束与生态适配（这是本 SKILL 的核心价值）。
  2. 发布前用 plan 检查越限，逐条消除 warnings 再发。
  3. 视频跨横竖平台先用 video-reframe 转比例，别直接发导致黑边/裁切。
  4. 每个平台的实际发布委派其 publisher SKILL；未部署 publisher 的平台先提示用户。
  5. 批量按时间发布见 skill-publish-scheduler。

参考来源

一稿多发的关键不是"复制粘贴"而是"按平台重适配"。本 SKILL 用约束注册表把各平台的字数/比例/ 标签/类型规则固化，路由到对应 publisher，适配交给 LLM，发布交给平台 SKILL。

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 Cross Platform Publish AI skill do?

跨平台一键发布：一份内容适配并发布到多个平台（小红书/抖音/B站/公众号/快手/视频号/知乎）。 按各平台格式约束（字数/比例/标签/内容类型）适配内容，再逐个委派对应平台发布 SKILL。 当用户说"一键发布""同时发到多个平台""多平台发布""一稿多发""全平台发""发到抖音+小红书+B站" "分发到各平台"时使用。适配由 LLM 做，路由与约束检查由 scripts/publish_dispatch.py。

Why use Skill Cross Platform Publish on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-cross-platform-publish. 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 Cross Platform Publish?

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 Cross Platform Publish?

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

Is the Skill Cross Platform Publish 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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