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Social Content

OrganizationPopular
ZJU-REAL
social-content

通用多平台社媒内容（单条/兜底）：钩子文案、正文、标签策略和互动引导，主打**涨粉/互动/内容运营**， 支持微博/抖音/B站/知乎/公众号/X 等；平台不确定或要多平台一次成稿时的默认选择。 当用户说"写条微博""发个帖子""社媒文案""发什么内容""帮我写个帖""涨粉内容""互动内容"时使用。 边界：**小红书整套笔记/图文/种草**找 xhs-note-creator；**带货转化/卖点/详情页**找 copywriting； **严格套 PAS/AIDA 框架排版**找 post-formatter。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill namesocial-content
Stars
3.5K
Forks
535
Bundled files
4
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.

  • 4 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 Social Content 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/social-content
  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/social-content .claude/skills/social-content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Content 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 Social Content 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 Social Content 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.

社媒内容创作

跨平台通用/兜底的社媒内容生成器。为国内平台（小红书 / 抖音 / B站 / 微博 / 公众号 / 知乎）为主、出海平台（X、LinkedIn）为辅，生成原生格式的钩子文案、正文、标签策略和互动引导。

职责边界

本 SKILL 定位是跨平台通用/兜底：多平台一次成稿、快速起草、平台不确定时的默认选择。遇到下列专精场景，交给下游 SKILL 出精品：

场景交给
小红书整套笔记（多卡片 + 去 AI 化 + caption + hashtags 全流程）xhs-note-creator
具体某条视频的分镜/口播脚本（Hook 评分、分秒计时、留存优化）video-script
落地页 / 产品页 / 详情页 / 信息流等带货转化文案（种草卖点、标题/正文/CTA + 备选）copywriting
严格套 PAS/AIDA/BAB 等框架的结构化帖子post-formatter

本 SKILL 保留完整通用能力：用户直接调它做任意平台内容都成立，不强制转下游。

输入

用户 prompt 中提供以下信息（部分可省略，SKILL 自动补全默认值）：

字段说明示例
平台目标平台，可多选小红书、抖音、B站、微博、公众号、知乎（出海兜底：X、LinkedIn）
内容类型图文笔记、短视频脚本、长文、微博短博、thread、carousel图文笔记
主题帖子主题或素材一段文本或一篇文章的 URL
目标互动、引流、品牌、获客、种草、社区互动
受众关注者画像一二线城市职场女性
调性专业、轻松、犀利、种草、教育、励志种草
素材可用的图片、视频、数据无

输出

为每个目标平台输出以下结构：

1. 平台帖子正文

[钩子首行]

[正文内容]

[CTA 行动引导]

[标签]

字符数：N / 平台上限

2. 互动策略

  • 最佳发布时间
  • 发布后跟进动作（回复评论、转发等）
  • 跨平台联动计划

3. 视觉方向

  • 配图/封面/配视频描述
  • 小红书图文卡片组大纲（如适用）
  • 短视频脚本钩子（如适用）

4. 变体

  • 每个平台 2-3 个帖子变体，用于 A/B 测试或分日发布。

执行步骤

  1. 收集需求 — 从用户 prompt 提取上述输入字段。缺失字段时：有 Profile 则从中补全，无 Profile 则用通用默认值。

  2. 加载平台规范 — 根据目标平台，参照 platform-specs.md 获取字符限制、图片尺寸、发布时间、平台规则。

  3. 撰写钩子 — 参照公共源 skills/shared/references/hook-title-formulas.md，为每个平台选合适的钩子公式，写出首行。钩子决定 90% 的表现。

  4. 编排内容格式 — 参照 content-formats.md，按内容类型组织正文：

    • 小红书图文笔记 → 封面钩子 + 卡片组大纲 + 正文
    • 短视频脚本（抖音/B站/视频号）→ 钩子 + 正文 + CTA
    • 公众号/知乎长文 → 标题 + 开头 + 分段主体 + 收尾
    • 微博短博 → 140 字精华 + 话题
    • 内容复用 → 从一稿拆解为多平台素材
    • （出海兜底）X thread / LinkedIn carousel

  5. 添加标签 — 参照 hashtag-strategy.md，按平台规则选择话题层级和数量。

  6. 检查合规 — 字数用脚本校验，不靠肉眼数：把每个平台的正文喂给 python3 skills/shared/scripts/wordcount.py count（stdin 传入），读 social_count （社媒计数口径 = 中文字符 + 英文单词 + 数字串 + 标点），与 platform-specs.md 的字符上限比对，超限就据结果压缩后重数（可交给 text-condenser）。再规避违禁/限流词 （小红书/抖音尤其重要），确认话题数量符合平台规范，外链放置符合平台习惯。

  7. 去 AI + 质量门（强制，不可跳过） — 每个平台正文按 text-polisher 权威源过两道门，不达标先改再交付：

    • 去 AI 味：按 ../text-polisher/references/zh-ai-markers.md（中文，含小红书特化）+ ../text-polisher/references/phrases-to-remove.md + structures-to-avoid.md 扫描重写；AI 味自检 ≥45/50。
    • 综合质量：按 text-polisher 通用五维（清晰/节奏/真实/价值密度/语气匹配）自评 ≥35/50。
    • 两门都过才进下一步；这是本 SKILL 唯一的内容质量闸，别省。

  8. 生成变体 — 为每个平台输出 2-3 个帖子变体。

  9. 输出 — 按「输出」章节的格式交付全部内容，写入 outputs/ 目录。

Profile 感知

有 Profile 时

从 === EASEL ACCOUNT PROFILE === 上下文中提取：

  • platform — 锁定目标平台，加载对应规范
  • audience — 用于调整用语和深度
  • tone / style — 匹配账号一贯风格
  • hashtag_sets — 优先使用账号常用标签
  • posting_schedule — 用于推荐发布时间

无 Profile 时

  • 退回通用模式：询问用户目标平台，使用通用最佳实践
  • 在输出末尾附注："如提供账号 Profile 可获得更精准的平台适配和风格匹配"

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 Social Content AI skill do?

通用多平台社媒内容（单条/兜底）：钩子文案、正文、标签策略和互动引导，主打**涨粉/互动/内容运营**， 支持微博/抖音/B站/知乎/公众号/X 等；平台不确定或要多平台一次成稿时的默认选择。 当用户说"写条微博""发个帖子""社媒文案""发什么内容""帮我写个帖""涨粉内容""互动内容"时使用。 边界：**小红书整套笔记/图文/种草**找 xhs-note-creator；**带货转化/卖点/详情页**找 copywriting； **严格套 PAS/AIDA 框架排版**找 post-formatter。

Why use Social Content on TypingMind?

Because you install it once and use it with any model. Social Content 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 Social Content in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/social-content. 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 Social Content?

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 Social Content?

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

Is the Social Content 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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