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content-engine内容引擎

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

69,888

周安装

2,803

GitHub Stars

170,262

下载量

22,624
CodexClaudeCursorGemini CLI

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

unknown

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-engine(内容引擎)
来源仓库:https://github.com/affaan-m/everything-claude-code
仓库路径:skills/content-engine
安装命令:
npx skills add https://github.com/affaan-m/everything-claude-code --skill content-engine
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/affaan-m/everything-claude-code --skill content-engine

简介

将一种想法转化为 X、LinkedIn、TikTok、YouTube 和时事通讯上的平台原生内容,无需交叉发布。

  • 通过本机挂钩、节奏和 CTA 将源资产(文章、视频、演示、文档)调整为不同的平台变体
  • 涵盖五个平台并提供具体指导:X(快速打开,每个帖子一个想法)、LinkedIn(强有力的第一行、明确的课程)、短视频(吸引注意力的前 3 秒)、YouTube(早期结果、每 20-30 秒视觉刷新)和时事通讯(可略读部分、工作开头)
  • 遵循重新调整用途的流程:从锚定资产中提取原子想法、编写平台变体、修剪重复、使 CTA 与平台意图保持一致
  • 实施质量关卡:每个平台的本机读取、强大的特定挂钩、无通用炒作、跨平台无重复副本

SKILL.md

Content Engine

Build platform-native content without flattening the author's real voice into platform slop.

When to Activate

  • writing X posts or threads
  • drafting LinkedIn posts or launch updates
  • scripting short-form video or YouTube explainers
  • repurposing articles, podcasts, demos, docs, or internal notes into public content
  • building a launch sequence or ongoing content system around a product, insight, or narrative

Non-Negotiables

  1. Start from source material, not generic post formulas.
  2. Adapt the format for the platform, not the persona.
  3. One post should carry one actual claim.
  4. Specificity beats adjectives.
  5. No engagement bait unless the user explicitly asks for it.

Source-First Workflow

Before drafting, identify the source set:

  • published articles
  • notes or internal memos
  • product demos
  • docs or changelogs
  • transcripts
  • screenshots
  • prior posts from the same author

If the user wants a specific voice, build a voice profile from real examples before writing. Use brand-voice as the canonical workflow when voice consistency matters across more than one output.

Voice Handling

brand-voice is the canonical voice layer.

Run it first when:

  • there are multiple downstream outputs
  • the user explicitly cares about writing style
  • the content is launch, outreach, or reputation-sensitive

Reuse the resulting VOICE PROFILE here instead of rebuilding a second voice model. If the user wants Affaan / ECC voice specifically, still treat brand-voice as the source of truth and feed it the best live or source-derived material available.

Hard Bans

Delete and rewrite any of these:

  • "In today's rapidly evolving landscape"
  • "game-changer", "revolutionary", "cutting-edge"
  • "here's why this matters" unless it is followed immediately by something concrete
  • ending with a LinkedIn-style question just to farm replies
  • forced casualness on LinkedIn
  • fake engagement padding that was not present in the source material

Platform Adaptation Rules

X

  • open with the strongest claim, artifact, or tension
  • keep the compression if the source voice is compressed
  • if writing a thread, each post must advance the argument
  • do not pad with context the audience does not need

LinkedIn

  • expand only enough for people outside the immediate niche to follow
  • do not turn it into a fake lesson post unless the source material actually is reflective
  • no corporate inspiration cadence
  • no praise-stacking, no "journey" filler

Short Video

  • script around the visual sequence and proof points
  • first seconds should show the result, problem, or punch
  • do not write narration that sounds better on paper than on screen

YouTube

  • show the result or tension early
  • organize by argument or progression, not filler sections
  • use chaptering only when it helps clarity

Newsletter

  • open with the point, conflict, or artifact
  • do not spend the first paragraph warming up
  • every section needs to add something new

Repurposing Flow

  1. Pick the anchor asset.
  2. Extract 3 to 7 atomic claims or scenes.
  3. Rank them by sharpness, novelty, and proof.
  4. Assign one strong idea per output.
  5. Adapt structure for each platform.
  6. Strip platform-shaped filler.
  7. Run the quality gate.

Deliverables

When asked for a campaign, return:

  • a short voice profile if voice matching matters
  • the core angle
  • platform-native drafts
  • posting order only if it helps execution
  • gaps that must be filled before publishing

Quality Gate

Before delivering:

  • every draft sounds like the intended author, not the platform stereotype
  • every draft contains a real claim, proof point, or concrete observation
  • no generic hype language remains
  • no fake engagement bait remains
  • no duplicated copy across platforms unless requested
  • any CTA is earned and user-approved

Related Skills

  • brand-voice for source-derived voice profiles
  • crosspost for platform-specific distribution
  • x-api for sourcing recent posts and publishing approved X output

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.18%
按下载量换算8,185

Claude

31.46%
按下载量换算7,118

Cursor

20.4%
按下载量换算4,615

Gemini CLI

9.01%
按下载量换算2,038

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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

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