itechmeat/llm-code/social-writer

Social Writer

Create platform-optimized social media content that sounds human, drives engagement, and builds audience.

Quick Navigation

Platform Quick Reference

Content Type Router

What are you creating?
│
├─ X?
│   ├─ Single insight/observation → x-posts.md
│   ├─ Multi-part story/tutorial → x-threads.md
│   └─ Content planning → x-strategy.md
│
├─ LinkedIn → linkedin.md
│   └─ Professional, B2B, thought leadership
│
├─ Threads/Instagram → threads-instagram.md
│   └─ Conversational, authentic, visual
│
├─ Facebook → facebook.md
│   └─ Community, engagement, events
│
└─ Technical blog → technical-styles.md
    ├─ Karpathy style (conversational, personal)
    └─ Deep technical (opinion-forward, contrarian)

Writing Workflow

1. Select Platform & Format

Choose based on:

• Audience: Where do they spend time?
• Content depth: Quick insight vs deep dive
• Goal: Engagement, education, announcement

2. Load Style Reference

Before writing:

1. Read platform-specific guide
2. Read ai-avoidance.md — critical for human voice
3. Read style-guide.md for tone

3. Draft Content

Apply platform constraints from start. Style informs structure.

4. Quality Check

Run through checklist below before posting.

Universal Quality Checklist

Voice

• [ ] Sounds like a person, not AI?
• [ ] Zero banned words (delve, unleash, harness, leverage)?
• [ ] Zero em-dashes (—)?
• [ ] Contractions used naturally?

Specificity

• [ ] Includes names, numbers, tools, dates?
• [ ] Concrete examples, not hypotheticals?
• [ ] Would I bookmark this if someone else wrote?

Structure

• [ ] Hook in first line?
• [ ] Sentence lengths vary (5-40 words)?
• [ ] Each paragraph/tweet can stand alone?

Value

• [ ] Teaches something specific?
• [ ] Actionable today?
• [ ] From real experience?

X Quick Start

Single Post Pattern

[Hook - stop the scroll]
 
[Context or specific detail]
 
[Insight or learning]
 
[Optional: engagement question]

Example:

Shipped curation v1 for agents.foo today.
 
Discovery is way harder than app stores. Agents are conversations, not static features.
 
Had to rebuild around context matching instead of keyword search.

Thread Pattern

1/N [Bold hook - main insight] 👇
 
2/N [Context or setup]
 
3-N/N [Key points, one per tweet]
 
N/N [Summary + CTA]

Rules:

• First tweet MUST end with 👇 or 🧵 to signal thread
• Use N/M numbering (1/7, 2/7... 7/7)
• Each tweet must stand alone
• Max 5-7 tweets (longer = blog post)

High-Engagement Content Patterns

Content Selection: What to Share

Always Share ✓

• Shipped work + learnings
• Non-obvious insights
• Tool recommendations with specifics
• Solutions to common problems

Skip ✗

• Generic progress updates
• Plans before execution
• Obvious observations
• Engagement bait ("RT if you agree")
• Vague hype

Critical Prohibitions

• Do not use words: delve, unleash, harness, leverage, robust, seamless, game-changer, unlock
• Do not use em-dashes (—) anywhere
• Do not use "It's not X, it's Y" pattern
• Do not ask for engagement ("RT if you agree", "What do you think?")
• Do not use formal transitions (Furthermore, Moreover, Additionally)
• Do not write uniform sentence lengths
• Do not skip the hook

Links

• ai-avoidance.md — Most important, read first
• hooks.md — Hook patterns with examples
• x-strategy.md — What to share