tweet-writer

sanky369/vibe-building-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sanky369/vibe-building-skills --skill tweet-writer
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summary

This skill helps you write viral, persuasive tweets and threads optimized for X's algorithm. It combines proven copywriting frameworks, viral hook formulas, and real-time research to model your content after successful examples in your niche.

skill.md

Tweet Writer Skill

Overview

This skill helps you write viral, persuasive tweets and threads optimized for X's algorithm. It combines proven copywriting frameworks, viral hook formulas, and real-time research to model your content after successful examples in your niche.

Keywords: twitter, X, tweets, threads, viral content, social media, engagement, hooks, copywriting

Process Workflow

Phase 1: Niche Research (CRITICAL)

Before writing ANY tweet, you MUST research viral examples in the user's specific niche.

Research Steps:

  1. Identify the niche/topic — What is the user writing about?
  2. Search for viral examples — Use WebSearch to find:
    • "[niche] viral tweet examples"
    • "[niche] twitter thread went viral"
    • "[topic] best performing tweets"
    • site:twitter.com OR site:x.com "[niche keyword]" high engagement
  3. Analyze patterns — Extract:
    • Hook styles that worked
    • Content structure
    • Tone and voice
    • Specific numbers/results used
    • CTAs that drove engagement
  4. Document insights — Create a brief analysis before writing

Example Research Prompt:

Searching for: "SaaS founder viral tweets"
              "startup advice twitter thread viral"
              "tech entrepreneur best tweets engagement"

Phase 2: Tweet Creation

Use the frameworks below to craft content modeled after successful examples.


The X Algorithm (2026)

Understanding what the algorithm rewards is critical:

Engagement Hierarchy (Most to Least Valuable)

  1. Replies — Most weighted signal
  2. Quote tweets — High value, shows your content sparks conversation
  3. Bookmarks — Strong signal of value
  4. Retweets — Amplification signal
  5. Likes — Baseline engagement

Time Sensitivity

  • First hour is critical — If you don't gain traction in 60 minutes, reach drops significantly
  • Peak times: 9-11 AM and 7-9 PM EST weekdays, 9-11 AM weekends
  • Fresh content prioritized — X rewards recency

Dwell Time

X tracks how long users spend on your content. Longer = more reach.

  • Threads naturally increase dwell time
  • Visual content keeps eyes on post longer
  • Compelling hooks stop the scroll

Format Boosts

  • Native video: Priority over external links
  • Images/carousels: 2x engagement vs text-only
  • Threads: 3x engagement vs single tweets
  • Polls: High participation signals

What to AVOID

  • External links: Severely penalized (especially for non-Premium accounts)
  • Generic content: No differentiation = no reach
  • Asking for engagement: "Like and RT" hurts reach

Hook Formulas (The Most Critical Element)

Your hook determines 80-90% of your tweet's success. You have ~1 second to stop the scroll.

The Bold Statement

"Nobody talks about this, but..."
"Unpopular opinion: [controversial take]"
"Everything you've been told about [X] is wrong."
"[Common belief] is a myth. Here's the truth:"

The Specific Result

"I [specific result] in [specific timeframe]. Here's how:"
"[Number] [achievement] in [timeframe]. The breakdown:"
"From [bad state] to [good state] in [time]. Thread:"

Example: "I grew from 0 to 50K followers in 90 days. Here's the exact playbook:"

The Curiosity Gap

"I found a [adjective] [topic] hack that no one talks about..."
"The one thing [type of person] gets wrong about [topic]"
"Why most people fail at [X] (and how to fix it)"

The Question Hook

"Want to know the real secret to [X]?"
"What if everything you knew about [X] was wrong?"
"Ever wonder why [common frustration]?"

The Story Hook

"3 years ago I was [bad state]. Today I [good state]."
"I almost quit [X]. Then this happened:"
"The story of how I [achievement] (with $0 budget):"

The Pattern Interrupt

"Everyone says [X]. They're wrong."
"Stop doing [common practice]. Do this instead:"
"Delete [common thing]. Here's why:"

The List Promise

"[Number] [things] that will [benefit] (thread):"
"[Number] lessons from [experience/achievement]:"
"The [number] [category] I wish I knew earlier:"

Example: "7 AI tools that saved me 20+ hours last week:"


Tweet Formats That Go Viral

Format 1: The Listicle (Highest Engagement)

Hook: "[Number] [things] that [benefit]:"

1. [Item] — [Brief explanation]
2. [Item] — [Brief explanation]
...
[CTA or summary]

Format 2: The Contrarian Take

Hook: "[Popular belief] is wrong."

Here's why: [2-3 sentences of reasoning]

What actually works: [Your alternative]

Format 3: The Before/After

[Time period] ago: [Bad state]
Today: [Good state]

The difference? [One key insight]

Format 4: The Framework

Hook: "The [Name] Framework for [Result]:"

Step 1: [Action]
Step 2: [Action]
Step 3: [Action]

[Optional: brief expansion on each]

Format 5: The "Fill in the Blank"

"The most underrated skill for _____ is _____."
"If I could only use one tool for [X], it would be _____."

Generates massive replies

Format 6: The Universal Experience

"When you finally [common experience/realization]"
"Why does nobody talk about [shared frustration]?"
"That moment when [relatable situation]"

Thread Structure (7-Tweet Sweet Spot)

Thread Template

Tweet 1 (Hook):

  • Most compelling insight or result
  • Include specific numbers
  • Signal it's a thread: "🧵" or "(thread)"

Tweet 2 (Context):

  • Expand on the hook
  • Set up why this matters
  • Create more curiosity

Tweets 3-6 (Core Value):

  • ONE key insight per tweet
  • Use numbered formatting (1/, 2/, etc.)
  • Add visual breaks every 3-4 tweets (images, charts)
  • Each tweet should be valuable standalone

Tweet 7 (Bridge/Summary):

  • Summarize key takeaways
  • Connect to broader application

Tweet 8 (CTA):

  • Ask a question (generates replies)
  • Quote your first tweet (drives retweets)
  • Direct to profile/newsletter

Thread Writing Rules

  1. Each tweet must earn the next click
  2. No filler — every word must carry weight
  3. Short sentences (under 250 characters per tweet)
  4. "Your words should read like a slippery slope"
  5. Number your tweets (2/12, 3/12, etc.)

Copywriting Frameworks for Tweets

PAS (Problem → Agitate → Solution)

Most reliable formula for engagement

[Problem]: You're [specific situation]
[Agitate]: And it's costing you [consequence]
[Solution]: Here's what works: [your answer]

AIDA (Attention → Interest → Desire → Action)

Best for promotional content

[Attention]: Hook that stops scroll
[Interest]: "Here's what most people don't realize..."
[Desire]: "Imagine if you could [benefit]"
[Action]: "DM me [X] to get started"

BAB (Before → After → Bridge)

Best for transformation stories

[Before]: I was [bad state]
[After]: Now I'm [good state]
[Bridge]: The difference? [Your insight/solution]

Persuasion Principles

Apply these to make any tweet more compelling:

Specificity — "23% increase" beats "big increase"

  • Numbers add credibility
  • Specific timeframes add urgency
  • Details make claims believable

Social Proof — "500+ customers" beats "many customers"

  • Results from real people
  • Numbers of users/followers
  • Recognizable names/brands

Curiosity Gap — Create information asymmetry

  • Hint at valuable info without revealing all
  • Promise specific outcomes
  • Use "Here's what most people miss..."

Controversy — Challenge existing beliefs

  • "Popular opinion is wrong"
  • Contrarian takes get engagement
  • Avoid offensive — aim for thought-provoking

Relatability — Shared experiences resonate

  • "When you realize..."
  • Universal frustrations
  • Common journey points

Growth Hacks

The 30-Day Subtopic Strategy

Pick ONE narrow subtopic in your niche. Post about ONLY that for 30 days straight.

Example: If you're in marketing, focus solely on "email subject lines" for a month.

Result: X's algorithm categorizes you as the authority on that subtopic.

The Reply Strategy

Focus on generating replies over likes/retweets.

  • Ask questions
  • Create fill-in-the-blank tweets
  • Post "hot takes" that invite discussion
  • Algorithm sees you as a conversation starter

The Engagement Window

  • Post 3-5 times daily
  • Engage with 20+ accounts daily (meaningful replies)
  • Reply to comments on your posts within first hour

The 80/20 Rule

  • 80% pure value (no promotion)
  • 20% promotional content
  • Value-first builds trust that converts

Tweet Length Guidelines

  • Single tweets: Under 110 characters perform best
  • Thread tweets: Under 250 characters each
  • Why short works: Easy to scan, room for quote tweets, mobile-optimized

Common Pitfalls to Avoid

Too Generic — "Tips for success" → "3 cold email templates that got me 10 meetings this week"

No Hook — Starting with context instead of impact

Asking for Engagement — "Like and RT!" hurts reach

External Links in Main Tweet — Put links in replies instead

No Specific Numbers — "I grew fast" vs "I grew 12,847 followers in 63 days"

Too Salesy — Value ratio too low, feels promotional

No CTA — Thread ends with no clear next step


Execution Checklist

Before posting, verify:

  • Hook stops the scroll (bold/specific/curious)
  • First 7 words earn the rest of the tweet
  • Specific numbers included where relevant
  • Under character limit (110 for single, 250 for thread tweets)
  • No external links in main tweet
  • Clear CTA or engagement driver
  • Posted during peak hours
  • Ready to engage with replies in first hour

How to Use This Skill

When a user asks for help writing tweets:

  1. Ask for context:

    • What niche/topic?
    • What's the goal? (engagement, followers, conversions)
    • What's the key message/insight?
    • Any specific results/numbers to include?
  2. Research phase (USE WebSearch):

    • Search for viral examples in their niche
    • Identify successful patterns
    • Note specific hooks and structures that worked
  3. Draft options:

    • Provide 2-3 hook variations
    • Use appropriate framework (PAS, AIDA, etc.)
    • Include specific numbers where possible
  4. Optimize:

    • Check character count
    • Strengthen hook
    • Add engagement driver/CTA
  5. Provide variations:

    • Single tweet version
    • Thread version (if appropriate)
    • Alternative hooks to test

Integration with Other Skills

Tweet Writer works with:

  • Brand Voice — Ensure tweets match your brand personality
  • Direct Response Copy — Apply persuasion principles
  • Content Atomizer — Turn one tweet into multiple formats
  • SEO Content — Repurpose blog content into threads

Research Sources & Further Reading

Algorithm insights: SocialBee, Tweet Archivist Hook formulas: Ship 30 for 30 Thread templates: Typefully, Legiit Copywriting frameworks: Buffer, Metricool

how to use tweet-writer

How to use tweet-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 tweet-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/sanky369/vibe-building-skills --skill tweet-writer

The skills CLI fetches tweet-writer from GitHub repository sanky369/vibe-building-skills 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/tweet-writer

Reload or restart Cursor to activate tweet-writer. Access the skill through slash commands (e.g., /tweet-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.

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.741 reviews
  • Olivia Lopez· Dec 28, 2024

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

  • Ganesh Mohane· Dec 12, 2024

    We added tweet-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Alexander Martinez· Dec 4, 2024

    tweet-writer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Verma· Nov 23, 2024

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

  • Sofia Agarwal· Nov 19, 2024

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

  • Rahul Santra· Nov 3, 2024

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

  • Pratham Ware· Oct 22, 2024

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

  • Amelia Bhatia· Oct 14, 2024

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

  • Aisha Rao· Oct 10, 2024

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

  • Olivia Gonzalez· Sep 21, 2024

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

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