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social-card-gen

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English
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Chinese

Social Card Generator Skill

Social Card Generator Skill

Use this skill when a user needs one source message transformed into platform-ready social copy for Twitter, LinkedIn, and Reddit.
当用户需要将单一源消息转换为适配Twitter、LinkedIn和Reddit的平台就绪型社交文案时，可使用本Skill。

What it does

功能介绍

  • Converts one source input into 3 platform variants.
  • Enforces platform limits:
    • Twitter: 280 chars
    • LinkedIn: 3000 chars
    • Reddit: no hard limit in this tool
  • Applies platform style:
    • Twitter: punchy + compact hashtags
    • LinkedIn: professional + business framing
    • Reddit: authentic + discussion-oriented
  • Runs entirely offline for text/file workflows (no API required).
  • 将单一源输入转换为3种平台适配变体。
  • 遵循平台字数限制：
    • Twitter：280字符
    • LinkedIn：3000字符
    • Reddit：本工具无严格限制
  • 适配平台风格：
    • Twitter：简洁有力+紧凑话题标签
    • LinkedIn：专业商务风格
    • Reddit：真实接地气+讨论导向
  • 纯离线运行文本/文件处理流程（无需API）。

Files

文件说明

  • generate.js
    : CLI generator.
  • templates.js
    : platform rules, tone guidance, hashtag strategy, and CTA formats.
  • examples/
    : sample input and output.
  • generate.js
    ：CLI生成器。
  • templates.js
    ：平台规则、语气指南、话题标签策略和CTA格式定义。
  • examples/
    ：示例输入与输出文件。

Usage

使用方法

bash
npm install
bash
npm install

text input

文本输入

node generate.js --text "We reduced onboarding time by 35% with a checklist." --stdout
node generate.js --text "We reduced onboarding time by 35% with a checklist." --stdout

file input

文件输入

node generate.js --file examples/input-example.md --outdir examples
node generate.js --file examples/input-example.md --outdir examples

URL input (when network is available)

URL输入（需联网时使用）

node generate.js --url https://example.com/post --platforms twitter,linkedin --stdout
undefined
node generate.js --url https://example.com/post --platforms twitter,linkedin --stdout
undefined

Why this vs ChatGPT?

与ChatGPT相比的优势

  • Deterministic output shape: same rules every run.
  • Zero prompt iteration for routine adaptation.
  • Works without external AI APIs.
  • Easy to automate in CI or content pipelines.
  • 输出格式确定：每次运行遵循相同规则。
  • 常规适配无需反复调整提示词。
  • 无需依赖外部AI API即可运行。
  • 易于在CI或内容流水线中实现自动化。

Before / After

前后对比

Before (single source):
text
We shipped a new onboarding flow that cut setup time and improved week-1 activation.
After (platform-ready):
  • Twitter: short hook, concise body, tight hashtags, direct CTA.
  • LinkedIn: professional framing with practical outcome and discussion CTA.
  • Reddit: conversational framing with an open-ended question.
之前（单一源内容）：
text
We shipped a new onboarding flow that cut setup time and improved week-1 activation.
之后（平台就绪型内容）：
  • Twitter：简短钩子、简洁正文、紧凑话题标签、直接行动号召（CTA）
  • LinkedIn：专业表述，突出实际成果并附带讨论型行动号召
  • Reddit：对话式表述，搭配开放式问题

Case study (real workflow)

案例研究（真实工作流）

A two-person SaaS team publishes one product update weekly. They previously rewrote each update manually for Twitter, LinkedIn, and Reddit (about 20-30 minutes total). With this skill they write one source update, run 
node generate.js --file update.md --outdir posts
, and review 3 drafts in under 5 minutes before publishing.
一个两人规模的SaaS团队每周发布一次产品更新。此前他们需要手动为Twitter、LinkedIn和Reddit重写每篇更新，总共耗时约20-30分钟。使用本Skill后，他们只需撰写一份源更新内容，运行
node generate.js --file update.md --outdir posts
，即可在5分钟内完成3份草稿的审阅，随后即可发布。