Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/alekseiul-tweet-writer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/tweet-writer
What's inside
- Skill name
tweet-writer- Description
- Write viral, persuasive, engaging tweets and threads. Uses web research to find viral examples in your niche, then models writing based on proven formulas and X algorithm optimization. Use when creating tweets, threads, or X content strategy.
- License
- MIT
- Instructions
- 428 lines in SKILL.md · view on GitHub
Files (3)
- origin.json · .clawdhub/
- SKILL-public.md
- SKILL.md
SKILL.md (first lines)
# Tweet Writer Skill
## ✍️ Правила текста (стиль {{OWNER_NAME}})
**Обязательно:**
- Дефис (-) вместо длинного тире (—). ВСЕГДА
- Сильные глаголы, короткие предложения
- Личный опыт, прямота
**Запрещено:**
- Длинное тире (—) - заменять на дефис (-)
- "Конечно", "Безусловно", "Стоит отметить", "Является"
- Канцелярит и пассивный залог
> Полные правила: `skills/copywriter/SKILL.md`
---
## 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)"From AlekseiUL/heisenberg-team, MIT.
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Signals
- Stars
- 17
- Forks
- 12
- Open issues
- 0
- Last commit (this folder)
- Apr 3, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AlekseiUL/heisenberg-team
- Website
- t.me/Sprut_AI
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
tweet-writer skill. Agent Mart. https://agentmart.dev/skills/alekseiul-tweet-writer (last updated 2026-10-24)