content-generator

name	content-generator
description	Generate marketing content applying all 5 frameworks - for GitHub READMEs, landing pages, social media, and more
allowed-tools	["Read","Write","WebFetch","Task"]
invocation	user

Content Generator

Use this skill to generate optimized marketing content that applies all 5 marketing frameworks. Supports multiple content types.

Content Types Supported

1. GitHub README - Developer-focused, technical credibility
2. Landing Page - Conversion-focused, full persuasion stack
3. X/Twitter Thread - Viral-focused, hook-driven
4. LinkedIn Post - Professional, thought leadership
5. YouTube Script Intro - Hook-focused, retention-optimized
6. Substack/Blog Article - Long-form, value-driven
7. Product Hunt Launch - Launch-optimized, community-focused

Generation Process

Step 1: Gather Context

Required inputs:

• Product name and description
• Target audience
• Key features/benefits
• Voice profile (if available)
• Competitors (for differentiation)

Step 2: Apply Framework Stack

For each piece of content, apply:

1. Awareness Analyzer → Determine messaging level
2. NESB Scorer → Ensure headlines hit all 4 quadrants
3. Persuasion Auditor → Include key levers
4. Copy Optimizer → Apply tactical techniques
5. Tribe Builder → Add movement elements

Step 3: Adapt for Platform

Each platform has specific requirements:

Platform	Tone	Length	Key Elements
GitHub	Technical, direct	Comprehensive	Code examples, badges, install
Landing	Persuasive	Scannable	Hero, benefits, social proof, CTA
Twitter/X	Punchy, hook-driven	280 chars/tweet	Thread structure, engagement
LinkedIn	Professional	1300 chars ideal	Story, insight, CTA
YouTube	Conversational	30-60s intro	Hook, promise, curiosity gap
Blog	Educational	1500-3000 words	Value first, soft sell
Product Hunt	Community-focused	Structured	Problem, solution, why now

Step 4: Generate with Voice

Match the user's extracted voice profile.

Step 5: Score and Refine

Run generated content through scorers before presenting.

Output Format

## Generated Content

### Content Type: [Type]
### Target Audience: [Audience]
### Awareness Level: [Level]

---

### Generated Content

[The actual content, properly formatted for the platform]

---

### Framework Application

| Framework | How Applied |
|-----------|-------------|
| Awareness | [How awareness level was matched] |
| NESB | [NEW/EASY/SAFE/BIG elements] |
| Persuasion | [Levers used] |
| Tactics | [Specific techniques] |
| Tribe | [Movement elements] |

### NESB Score
- NEW: X/10
- EASY: X/10
- SAFE: X/10
- BIG: X/10
- **Total: XX/40**

### Suggested Variations
1. [Alternative version 1]
2. [Alternative version 2]

Platform-Specific Templates

See supporting files:

• github-readme.md - GitHub README template
• landing-page.md - Landing page sections
• social-posts.md - Twitter and LinkedIn templates
• blog-article.md - Blog post structure

Quick Generation Prompts

GitHub README

"Generate a README for [product] targeting [audience]. Key differentiator: [unique mechanism]. Include: badges, quick start, features, why us."

Landing Page Hero

"Generate hero section for [product]. Promise: [outcome]. Proof: [social proof]. Make it hit NEW, EASY, SAFE, BIG."

Twitter Thread

"Generate a 5-tweet thread about [topic/product]. Hook with [problem], reveal [solution], end with [CTA]."

LinkedIn Post

"Generate a LinkedIn post sharing [insight/story] that positions [product] as the solution. Professional tone, personal story."

Interactive Workflow

When generating content interactively:

1. Propose → Generate initial draft
2. Score → Show framework scores
3. Refine → Iterate based on feedback
4. Finalize → Present polished version
5. Variations → Offer alternative angles

Voice Matching

Before generating, check if a voice profile exists:

• If yes: Match the extracted voice patterns
• If no: Use platform-appropriate defaults or offer to extract voice first

Examples

Example: GitHub README Hero

Input: AI code review tool for Python developers

Generated:

# CodeReviewAI

**Stop shipping bugs. Start shipping confidence.**

The first AI that actually understands your Python codebase - not just syntax, but intent.

[![Used by 5,000+ developers](badge)](link) [![SOC 2 Certified](badge)](link)

## Why CodeReviewAI?

Traditional linters catch typos. We catch logic errors, security holes, and "that thing that'll break in production at 3am."

- **Context-aware** - Reads your entire codebase, not just the diff
- **Zero config** - Works in 30 seconds, not 30 hours
- **Privacy-first** - Your code never leaves your infrastructure

> "Caught a critical bug in our payment flow that 3 human reviewers missed." - CTO, YC Startup

NESB Score: NEW 8, EASY 9, SAFE 8, BIG 8 = 33/40

Example: Twitter Thread Hook

Input: Launch announcement for productivity app

Generated:

Tweet 1:
I spent 6 months building in silence.

Today I'm launching [Product].

It does one thing: makes your to-do list actually get done.

Here's why existing tools fail you 🧵

Tweet 2:
Every productivity app assumes you have infinite willpower.

"Just add tasks and check them off!"

But willpower is finite. By 2pm, you're drained.

That's why 89% of tasks never get completed.

Tweet 3:
[Product] works differently.

Instead of fighting your brain, it works WITH it...