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content-repurpose内容再利用

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

1,141

周安装

49

GitHub Stars

公开资料未说明

下载量

540
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-repurpose(内容再利用)
来源仓库:https://github.com/orphanslayer410/content-repurpose
安装命令:
openclaw skills install content-repurpose
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-repurpose

简介

将长文本转化为 X/Twitter 线程、LinkedIn 帖子等定制格式。

  • 针对不同平台优化语言风格与结构,提高互动率。
  • 适用于内容创作者、公关与社交媒体运营人员。
  • 支持视频脚本、博客与文档等多种输入源。content-repurpose 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 显著提升内容跨平台传播效率与用户参与度。

SKILL.md

name
content-repurpose
description
Transform one piece of long-form content (transcript, blog post, article, video script, doc) into platform-tailored variants — X/Twitter threads, LinkedIn posts, blog excerpts, short-video hooks, and newsletter snippets. Use when the user wants to adapt a single source into multiple social/marketing formats while preserving the source's voice, claims, and intent. Triggers on phrases like "repurpose this", "turn this into tweets/LinkedIn/social posts", "create a content pack from this", "adapt for [platform]", "spin this off into shorts/threads".

Content Repurpose

Take one source artifact (transcript, blog post, article, video script, doc) and produce platform-native variants in one pass. Optimize each variant for the target platform while preserving the source's voice and core claims.

Workflow

  1. Read the source. Read the file path provided, or use the pasted text. If both are missing, ask for the source.
  2. Confirm scope. Default to a "full pack" (X thread + LinkedIn post + blog excerpt + 3 short-video hooks). If the user named specific formats, only do those.
  3. Identify voice + claims. Note tone register (formal / casual / contrarian / educational / story-driven), the 3-5 strongest claims or insights, and any concrete examples or numbers.
  4. Generate per-platform variants using the format specs below.
  5. Output as labeled markdown sections so the user can copy each block cleanly.

Inputs accepted

  • Pasted text (most common)
  • File path to .md, .txt, transcript, or other plain-text file (read with the file tool)

Do NOT fetch external URLs. If the user provides a URL, ask them to paste the content or save the page as text first. Skipping URL fetching keeps the skill safe (no SSRF, no surprise external requests, no binary dependencies).

Output structure

Always output a single response with clearly labeled sections so the user can copy each block individually:

## X/Twitter thread
[content]

## LinkedIn post
[content]

## Blog excerpt
[content]

## Short-video hooks
[content]

Add ## Newsletter snippet only if the user asks for it.

Format specs

X/Twitter thread

  • Hook tweet ≤270 chars; open with a pattern interrupt or sharp claim; no hashtags
  • 3-7 follow-up tweets, each ≤270 chars, each adds exactly one idea
  • Final tweet: a clear takeaway or single CTA
  • Number tweets 1/, 2/, etc. only if the thread length is >5
  • No emoji unless the source uses them

LinkedIn post

  • Length target: 1100-1500 chars (sweet spot for the algorithm's "see more" cut)
  • Opener: 1-2 line hook, then a blank line before main content
  • Body: short paragraphs (1-3 lines each), white-space heavy
  • Close: a single question or one clear CTA
  • Max 3 hashtags at the end; skip them if the source doesn't use them

Blog excerpt

  • 200-300 words
  • Lead with the strongest claim or surprising fact
  • Cover 2-3 key points from the source
  • End with a "read more" hook — a line that creates curiosity without resolving it

Short-video hooks

  • Generate 3 distinct variants
  • Each ≤10 seconds spoken (~25 words max)
  • Pattern: pattern interrupt → curiosity gap → implicit promise of payoff
  • No hashtags, no [music] notes — just spoken text

Newsletter snippet (only on request)

  • 100-150 words
  • Subject line ≤50 chars
  • Either 3-bullet body or 2-paragraph narrative
  • Single clear CTA or read-more link

Voice preservation rules

  • Mirror the source's sentence rhythm (short/long ratio)
  • Keep the source's profession or expertise framing
  • Do NOT introduce claims not in the source
  • Do NOT soften strong opinions — match the source's conviction level
  • Technical source → keep technical density; conversational source → keep it conversational

Security and integrity

  • Do NOT fetch external URLs (no SSRF surface)
  • Do NOT call external APIs or send the user's content anywhere
  • Do NOT persist source content beyond the response
  • Do NOT include analytics, tracking parameters, or share-to-X links in output
  • Do NOT impersonate the source author — produce in their *voice* but never claim authorship on their behalf
  • If the source contains apparent PII (full names + contact info, addresses, financial details, health info), flag it and ask before generating outputs
  • If the source appears to be copyrighted material the user does not own (paywalled article text, song lyrics, full book chapters), refuse unless they explicitly confirm rights or fair-use commentary intent

Edge cases

  • Source is too short (<200 words): Ask whether to expand, or proceed with abbreviated variants
  • Source covers multiple topics: Ask which to focus on, or offer one pack per topic
  • Source is non-English: Generate variants in the same language unless the user specifies
  • Source is a transcript with timestamps: Strip timestamps before processing
  • Source is a video script with stage directions: Strip [INT.], [CUT TO], etc. before processing

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

82.15%
按下载量换算444

安全审计

VirusTotal

通过

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通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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

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