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tk-content-engine传统知识内容引擎

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

2,957

周安装

127

GitHub Stars

公开资料未说明

下载量

1,036
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:tk-content-engine(传统知识内容引擎)
来源仓库:https://github.com/tktk-ai/tk-content-engine
安装命令:
openclaw skills install tk-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 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 tk-content-engine

简介

从简报批量生成博客、社交媒体与广告文案内容。

  • 适用于多平台内容矩阵建设与品牌声音统一。
  • 支持内容金字塔结构与跨平台适配优化。tk-content-engine 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 涉及对外发布时应控制语气,避免夸大或误导性表述。
  • 安装前建议核对品牌指南与版权素材授权情况。

SKILL.md

name
content-engine
description
Batch-produce blog posts, social media threads, newsletters, and ad copy from a single brief. Includes brand voice training, content pyramids, and multi-platform repurposing.
metadata
version
1.0.0
author
TKDigital
category
Content & Marketing
tags
[content creation, social media, blog writing, repurposing, batch content, SEO]

Content Engine Skill

Transform one idea into 30+ pieces of platform-optimized content with consistent brand voice.

What It Does

  1. Content Pyramid — Takes a single topic/brief and produces a full content pyramid:

- 1 long-form piece (blog/newsletter, 1,500-3,000 words) - 5 tweet threads (8-10 tweets each) - 15 standalone social posts (X, LinkedIn, Instagram captions) - 5 email/newsletter snippets

  1. Brand Voice Training — Learns your writing style from samples and maintains it across all output
  1. SEO Optimization — Keyword targeting, meta descriptions, header structure for blog content
  1. Multi-Platform Formatting — Each piece is formatted for its target platform (character limits, hashtags, tone)
  1. Batch Processing — Queue multiple briefs and produce in bulk

Usage

Quick Content Pyramid

Create a content pyramid from this topic:
Topic: "Why AI automation is replacing SaaS tools in 2026"
Brand voice: Direct, data-driven, slightly contrarian
Target audience: Solo founders and agency owners
Platforms: X/Twitter, LinkedIn, Blog

Brand Voice Training

Learn my brand voice from these samples:
[Paste 10-20 writing samples]

Then write a blog post on [TOPIC] in my voice.

Batch Production

Produce content for these 5 topics:
1. [Topic A]
2. [Topic B]
3. [Topic C]
4. [Topic D]
5. [Topic E]

For each: 1 blog post + 3 tweet threads + 10 social posts
Brand: [Brand name]
Voice: [Voice description]

Repurpose Existing Content

Take this blog post and repurpose it:
[Paste blog post]

Create:
- 3 tweet threads (different angles)
- 5 LinkedIn posts
- 1 newsletter intro
- 10 standalone tweets
- 3 Instagram captions

Output Format

Blog Post

## [Title] — [Target Keyword]

**Meta Description**: [155 chars max]
**Target Keyword**: [primary keyword]
**Secondary Keywords**: [2-3 related terms]

[Full blog post with H2/H3 structure, internal link suggestions, CTA]

Tweet Thread

### Thread: [Hook Summary]
Tweet 1: [Hook — max 280 chars]
Tweet 2-8: [Body tweets]
Tweet 9: [CTA]

Posting time: [Recommended]

Social Posts

### [Platform] — Post [#]
[Content formatted for platform]
Hashtags: [if applicable]
Best time: [Recommended posting time]

Best Practices

  • Provide brand voice samples for best results (minimum 10 samples)
  • Include target audience description — the more specific, the better
  • One topic per pyramid produces higher quality than rushing 5 topics
  • Always review and add personal touches before publishing
  • Use the content calendar in references/ for optimal posting schedules

References

  • references/voice-training-guide.md — How to train brand voice effectively
  • references/platform-specs.md — Character limits, formats, best practices per platform
  • references/content-calendar.md — Optimal posting schedules by platform

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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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

80.67%
按下载量换算836

安全审计

VirusTotal

通过

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通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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