social-writer

itechmeat/llm-code · updated Apr 12, 2026

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$npx skills add https://github.com/itechmeat/llm-code --skill social-writer
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summary

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

skill.md

Social Writer

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

Quick Navigation

Topic Reference
X Single Posts x-posts.md
X Threads x-threads.md
X Content Strategy x-strategy.md
Hook Patterns hooks.md
LinkedIn linkedin.md
Threads & Instagram threads-instagram.md
Facebook facebook.md
AI Writing Avoidance ai-avoidance.md
Style Guide style-guide.md
Technical Blog Styles technical-styles.md

Platform Quick Reference

Platform Limit Best Length Hashtags Key Rule
X 280 chars 230-280 1-2 max Hook in first line, use full space
LinkedIn 3,000 chars 1,300 3-5 Hook before "see more"
Threads 500 chars 400-500 None Conversational, no hashtags
Instagram 2,200 chars Varies 5-15 Visual-first, line breaks
Facebook Unlimited <250 2-3 Community, engagement

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

Pattern Structure Best For
Shipped X, Learned Y What shipped + key learning + why it matters Project updates
How to X Problem + steps + key insight Tutorials
Problem → Solution Problem + failed attempts + what worked Case studies
Contrarian Popular belief + why wrong + your evidence Thought leadership
Tool Recommendation Tool + specific benefit + real example Resources

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

how to use social-writer

How to use social-writer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add social-writer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/itechmeat/llm-code --skill social-writer

The skills CLI fetches social-writer from GitHub repository itechmeat/llm-code and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/social-writer

Reload or restart Cursor to activate social-writer. Access the skill through slash commands (e.g., /social-writer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.645 reviews
  • Layla Bansal· Dec 28, 2024

    Keeps context tight: social-writer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kofi Okafor· Nov 19, 2024

    Useful defaults in social-writer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Neel Menon· Nov 19, 2024

    I recommend social-writer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Liam Kapoor· Oct 10, 2024

    social-writer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aarav Dixit· Oct 10, 2024

    social-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Neel Mehta· Sep 17, 2024

    social-writer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kofi Wang· Sep 17, 2024

    social-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Emma Yang· Sep 17, 2024

    Solid pick for teams standardizing on skills: social-writer is focused, and the summary matches what you get after install.

  • Lucas Martin· Sep 13, 2024

    social-writer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Sep 5, 2024

    Solid pick for teams standardizing on skills: social-writer is focused, and the summary matches what you get after install.

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