content-engine
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.
About this skill
The 'Content Engine' skill empowers AI agents to generate high-quality, platform-optimized content from a single source asset or idea. It specializes in crafting platform-native posts, threads, and scripts for major social media channels like X (formerly Twitter), LinkedIn, TikTok, and YouTube, as well as newsletters. This skill is ideal for repurposing existing articles, podcasts, demos, or documentation into engaging social content, ensuring each piece is tailored to the unique characteristics and audience expectations of its target platform. It can also assist in building lightweight content plans and content calendars for launches, milestones, or thematic campaigns, significantly boosting content creation efficiency and consistency.
Best use case
This skill addresses the challenge of consistently producing high-quality, platform-specific content across diverse digital channels without repetitive manual effort. It enables users to maximize the reach and impact of their core messages by adapting them intelligently for each audience, streamlining the content workflow for social media managers, marketers, and content creators.
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.
Users can expect platform-optimized social media posts, threads, video scripts, newsletter content, or content calendar entries derived cleanly from a single source asset or idea. The output will be tailored for native engagement on the specified platforms, leading to increased content output efficiency and better audience reception.
Practical example
Example input
{
"source_asset": "The latest blog post on our company's new AI-powered analytics dashboard: [link-to-blog-post]",
"audience": "Business leaders and data scientists interested in cutting-edge analytics",
"platforms_target": ["LinkedIn", "X", "Newsletter"],
"goal": "Promote the blog post and highlight the benefits of the new dashboard, driving traffic to the website."
}Example output
{
"linkedin_post": {
"headline": "Unlock Deeper Insights: Introducing Our New AI-Powered Analytics Dashboard!",
"body": "Excited to share our latest innovation: an AI-powered analytics dashboard designed to transform how business leaders and data scientists interact with their data. Get predictive insights, identify trends faster, and make data-driven decisions with unprecedented accuracy. Learn more about how it works and what it can do for you in our new blog post: [link-to-blog-post] #AI #Analytics #DataScience #BusinessIntelligence",
"cta": "Read the full blog post and see the dashboard in action!"
},
"x_thread": [
"1/ 🎉 Big news for data enthusiasts! We've launched our NEW AI-powered analytics dashboard! Say goodbye to manual data crunching and hello to intelligent insights. #AI #Analytics",
"2/ This isn't just another dashboard. Our AI engine predicts trends, highlights anomalies, and gives you actionable recommendations, all in real-time. Imagine making decisions with confidence. #DataScience",
"3/ For business leaders: Understand market shifts before they happen. For data scientists: Focus on strategy, not just data prep. It's a game-changer for productivity and insight. #BusinessIntelligence",
"4/ Want to see how it works? We've broken down all the features, benefits, and use cases in our latest blog post. Dive deep and transform your data strategy today! 👇 [link-to-blog-post]",
"5/ What are YOUR biggest challenges with current analytics tools? Let us know in the comments! #FutureOfAI #DataAnalytics"
],
"newsletter_snippet": {
"title": "Introducing Your New AI Co-Pilot for Data Analytics!",
"body": "We're thrilled to unveil our revolutionary AI-powered analytics dashboard, designed to empower you with smarter, faster insights. This new tool goes beyond traditional reporting, leveraging advanced AI to deliver predictive analytics, identify critical trends, and streamline your decision-making process. Discover how our dashboard can transform your approach to data in our comprehensive new blog post. Click here to read more and explore its capabilities.",
"cta_text": "Explore the New AI Analytics Dashboard",
"cta_link": "[link-to-blog-post]"
}
}When to use this skill
- Writing X posts or threads
- Drafting LinkedIn posts or launch updates
- Scripting short-form video or YouTube explainers
- Repurposing articles, podcasts, demos, or docs into social content
When not to use this skill
- Generating original, long-form content requiring extensive research or subjective creative input (e.g., full blog posts, novels, deep analytical reports).
- Performing graphic design, video editing, or real-time community management (it generates text-based content and plans).
- Conceptualizing entirely new content ideas from scratch, as it relies on adapting a source asset or theme.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/content-engine/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How content-engine Compares
| Feature / Agent | content-engine | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
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