affaan-m/ECC

content-engine

为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。

57Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/content-engine"
Automated source guide

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Turn content-engine's source instructions into a guide you can follow

According to the pinned SKILL.md from affaan-m/ECC: 将一个想法转化为强大的、平台原生的内容,而不是到处发布相同的东西。

npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/content-engine"
Check the pinned source

Best fit

  • 为X、LinkedIn、TikTok、YouTube、新闻通讯和跨平台重新利用的多平台活动创建平台原生内容系统。适用于当用户需要社交媒体帖子、帖子串、脚本、内容日历,或一个源资产在多个平台上清晰适配时。

Bring this context

  • A concrete task that matches the documented purpose of content-engine.
  • The files, examples, or context the task depends on.
  • Your constraints, target environment, and definition of done.

Expected outputs

  • A result that follows the pinned content-engine instructions.
  • A concise record of assumptions, inputs used, and unresolved questions.
  • A final check against the source workflow and relevant permission signals.

Key source sections

Read content-engine through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

何时激活

撰写 X 帖子或主题串时 起草 LinkedIn 帖子或发布更新时 编写短视频或 YouTube 解说稿时 将文章、播客、演示或文档改写成社交内容时 围绕发布、里程碑或主题制定轻量级内容计划时

SKILL.md · 何时激活
撰写 X 帖子或主题串时起草 LinkedIn 帖子或发布更新时编写短视频或 YouTube 解说稿时
02

首要问题

来源素材:我们从什么内容改编 受众:构建者、投资者、客户、运营者,还是普通受众 平台:X、LinkedIn、TikTok、YouTube、新闻简报,还是多平台 目标:品牌认知、转化、招聘、建立权威、支持发布,还是互动参与

SKILL.md · 首要问题
来源素材:我们从什么内容改编受众:构建者、投资者、客户、运营者,还是普通受众平台:X、LinkedIn、TikTok、YouTube、新闻简报,还是多平台
03

核心规则

1. 为平台进行适配。不要交叉发布相同的文案。 2. 开篇钩子比总结更重要。 3. 每篇帖子应承载一个清晰的想法。 4. 使用具体细节而非口号。 5. 保持呼吁行动小而清晰。

SKILL.md · 核心规则
为平台进行适配。不要交叉发布相同的文案。开篇钩子比总结更重要。每篇帖子应承载一个清晰的想法。
04

平台指南

开场要快 每个帖子或主题串中的每条推文只讲一个想法 除非必要,避免在主文中放置链接 避免滥用话题标签

SKILL.md · 平台指南
开场要快每个帖子或主题串中的每条推文只讲一个想法除非必要,避免在主文中放置链接
05

X

开场要快 每个帖子或主题串中的每条推文只讲一个想法 除非必要,避免在主文中放置链接 避免滥用话题标签

SKILL.md · X
开场要快每个帖子或主题串中的每条推文只讲一个想法除非必要,避免在主文中放置链接

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Task-start prompt

Confirm source fit, inputs, and outputs before acting.

Use content-engine to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.

Source-guided execution

Make the Agent explicitly follow the key extracted sections.

Apply the pinned content-engine source to [task]. Pay particular attention to these source sections: “何时激活”, “首要问题”, “核心规则”, “平台指南”, “X”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].

Result-review prompt

Check omissions, permissions, and source drift before delivery.

Review the current content-engine result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.

Output checklist

Verify each item before delivery

The task matches the purpose documented in the SKILL.md.

The source section “何时激活” has been checked.

The source section “首要问题” has been checked.

The source section “核心规则” has been checked.

The source section “平台指南” has been checked.

Inputs, constraints, and acceptance criteria are explicit.

Unverified facts, compatibility, and outcome claims are clearly marked.

Any file, command, network, or data action has been reviewed.

Choose a different workflow

When another Skill is the better fit

FAQ

What does content-engine do?

将一个想法转化为强大的、平台原生的内容,而不是到处发布相同的东西。

How do I start using content-engine?

The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/content-engine". Inspect the command and pinned source before running it.

Which Agent platforms does it declare?

No dedicated Agent platform is declared in the pinned source record.

Repository stars
234,327
Repository forks
35,711
Quality
57/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

57/100
Documentation14/30
Specificity11/25
Maintenance20/20
Trust signals12/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

content-engine by affaan-m

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

content-engine by affaan-m

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

content-engine by affaan-m

X、LinkedIn、TikTok、YouTube、ニュースレター、マルチプラットフォームキャンペーンのプラットフォームネイティブなコンテンツシステムを作成します。ソーシャル投稿、スレッド、スクリプト、コンテンツカレンダー、または1つのソースアセットを複数プラットフォームにきれいに適応したい場合に使用します。

ab-testing by coreyhaines31

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program

churn-prevention by coreyhaines31

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min

内容引擎

将一个想法转化为强大的、平台原生的内容,而不是到处发布相同的东西。

何时激活

  • 撰写 X 帖子或主题串时
  • 起草 LinkedIn 帖子或发布更新时
  • 编写短视频或 YouTube 解说稿时
  • 将文章、播客、演示或文档改写成社交内容时
  • 围绕发布、里程碑或主题制定轻量级内容计划时

首要问题

明确:

  • 来源素材:我们从什么内容改编
  • 受众:构建者、投资者、客户、运营者,还是普通受众
  • 平台:X、LinkedIn、TikTok、YouTube、新闻简报,还是多平台
  • 目标:品牌认知、转化、招聘、建立权威、支持发布,还是互动参与

核心规则

  1. 为平台进行适配。不要交叉发布相同的文案。
  2. 开篇钩子比总结更重要。
  3. 每篇帖子应承载一个清晰的想法。
  4. 使用具体细节而非口号。
  5. 保持呼吁行动小而清晰。

平台指南

X

  • 开场要快
  • 每个帖子或主题串中的每条推文只讲一个想法
  • 除非必要,避免在主文中放置链接
  • 避免滥用话题标签

LinkedIn

  • 第一行要强有力
  • 使用短段落
  • 围绕经验教训、结果和要点进行更明确的框架构建

TikTok / 短视频

  • 前 3 秒必须抓住注意力
  • 围绕视觉内容编写脚本,而不仅仅是旁白
  • 一个演示、一个主张、一个行动号召

YouTube

  • 尽早展示结果
  • 按章节构建内容
  • 每 20-30 秒刷新一次视觉内容

新闻简报

  • 提供一个清晰的视角,而不是一堆不相关的内容
  • 使章节标题易于浏览
  • 让开篇段落真正发挥作用

内容再利用流程

默认级联:

  1. 锚定素材:文章、视频、演示、备忘录或发布文档
  2. 提取 3-7 个原子化想法
  3. 撰写平台原生的变体内容
  4. 修剪不同输出内容中的重复部分
  5. 使行动号召与平台意图保持一致

交付物

当被要求进行一项宣传活动时,请返回:

  • 核心角度
  • 针对特定平台的草稿
  • 可选的发布顺序
  • 可选的行动号召变体
  • 发布前所需的任何缺失信息

质量门槛

在交付前检查:

  • 每份草稿读起来都符合其平台原生风格
  • 开篇钩子强大且具体
  • 没有通用的炒作语言
  • 除非特别要求,否则各平台间没有重复文案
  • 行动号召与内容和受众相匹配
Source repo
affaan-m/ECC
Skill path
docs/zh-CN/skills/content-engine/SKILL.md
Commit SHA
4e973d3eaf92
Repository license
MIT
Data collected