Token导航 LogoToken导航TokenDH.com
效率需要联网clawhub未标认证来源可访问clear审计通过

content-repurposer-tool内容重用工具

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

2,822

周安装

120

GitHub Stars

公开资料未说明

下载量

989
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:content-repurposer-tool(内容重用工具)
来源仓库:https://github.com/charlie-morrison/content-repurposer-tool
安装命令:
openclaw skills install content-repurposer-tool
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install content-repurposer-tool

简介

将博客、文章等长内容重新调整为社交媒体优化版本。

  • 支持 Twitter/X 线程、LinkedIn 帖文与短视频脚本生成。
  • 适用于内容团队与自媒体运营者进行多平台分发。content-repurposer-tool 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 自动匹配平台规则与用户习惯,提升内容接受度。
  • 输出结果可直接用于发布,减少二次加工工作量。

SKILL.md

name
content-repurposer
description
Repurpose long-form content (blog posts, articles, newsletters, YouTube transcripts) into platform-optimized social media posts, Twitter/X threads, LinkedIn posts, email newsletter snippets, and short-form summaries. Use when asked to repurpose content, turn an article into social posts, create a thread from a blog post, adapt content for different platforms, generate social media versions of existing content, or create multi-platform content from a single source. Triggers on "repurpose", "turn this into tweets", "make social posts from", "create a thread", "adapt for LinkedIn", "newsletter snippet", "content remix".

Content Repurposer

Transform any long-form content into platform-optimized outputs. Feed it a URL, text, or document — get back ready-to-post content for multiple platforms.

Workflow

1. Extract Source Content

Determine the source type and extract content:

  • URL → Use web_fetch to extract readable text
  • YouTube URL → Use youtube-transcript skill if available, otherwise web_fetch
  • Pasted text → Use directly
  • File path → Read the file (supports .md, .txt, .html, .pdf)

If extraction fails, inform the user and suggest alternatives.

2. Analyze Content

Before generating outputs, analyze the source:

  1. Core message — What is the single main takeaway?
  2. Key points — List 3-5 supporting points or insights
  3. Quotable lines — Extract 2-3 memorable phrases or statistics
  4. Target audience — Infer from tone, vocabulary, and subject matter
  5. Content type — Tutorial, opinion, news, case study, announcement, story

3. Generate Platform Outputs

Generate requested formats (default: all). Each format follows platform-specific rules from references/platform-guides.md.

Available formats:

  • Twitter/X thread — 3-10 tweets, hook-first, one idea per tweet
  • Twitter/X single post — Standalone tweet, max 280 chars
  • LinkedIn post — Professional tone, 1300 chars max, uses line breaks for readability
  • Instagram caption — Casual tone, hashtags, emoji-friendly, CTA at end
  • Email newsletter snippet — 2-3 paragraphs, subject line included
  • Short summary — 2-3 sentences, platform-agnostic
  • Reddit post — Title + body, informative tone, no self-promotion feel
  • Hacker News — Title only (concise, factual), optional top-level comment

4. Apply Tone & Style

If user specifies a tone or brand voice, apply it. Otherwise, match the source's tone but optimize for each platform's conventions.

Tone options: professional, casual, witty, authoritative, friendly, provocative, educational.

5. Output Format

Present outputs in clear sections:

## Source Analysis
- Core message: ...
- Key points: ...

## Twitter/X Thread (N tweets)
🧵 1/ [hook tweet]
2/ [supporting point]
...

## LinkedIn Post
[post content]

## Email Newsletter
Subject: ...
[body]

Customization Options

Users can specify:

  • Platforms — "just Twitter and LinkedIn"
  • Tone — "make it casual" / "keep it professional"
  • Audience — "targeting developers" / "for marketing managers"
  • Length — "keep the thread short, 3-4 tweets max"
  • CTA — "include a link to [URL]" / "ask them to subscribe"
  • Hashtags — "include hashtags" / "no hashtags"
  • Emoji — "use emojis" / "no emojis"
  • Language — generate in specified language

Platform Guides

For detailed platform-specific formatting rules, character limits, and best practices, see references/platform-guides.md.

Tips

  • When repurposing tutorials: focus on the "aha moment" or key insight, not the step-by-step
  • When repurposing news: lead with impact/consequence, not the event itself
  • When repurposing case studies: lead with the result, then the method
  • For threads: each tweet should work standalone — readers may see any single tweet
  • Always adapt vocabulary and jargon level to the target platform's audience

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.98%
按下载量换算831

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills