tweet-writer

tweet-writer is a skill for Claude Code, Codex from sanky369/vibe-building-skills. It costs 133 tokens per session (1,938 once invoked), scanned A, original, MIT.

A writing workflow for X, formerly called Twitter, that researches current examples and drafts tweets or multi-post threads with several opening lines.

In plain words
What is it for?
Creating single tweets, X threads, alternate hooks, and posts based on live research in a specific niche.
Why use it?
It addresses the difficulty of writing platform-specific posts and choosing an opening that earns attention.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Creating single tweets, X threads, alternate hooks, and posts based on live research in a specific niche.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sanky369/vibe-building-skills/tweet-writer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add sanky369/vibe-building-skills --skill tweet-writer
Clone the repo
git clone --depth 1 https://github.com/sanky369/vibe-building-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tweet-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/tweet-writer/github.svg)](https://agentmods.dev/skills/sanky369/vibe-building-skills/tweet-writer)
Your own site
<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/tweet-writer"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/tweet-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tweet-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/sanky369/vibe-building-skills/tweet-writer"><img src="https://agentmods.dev/badge/skills/sanky369/vibe-building-skills/tweet-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.01938
Opus 5.5 $0.00053 $0.00775
Sonnet 5.5 $0.00027 $0.00388
Haiku 4.5 $0.00013 $0.00194

Measured 2mo ago against content hash 155963a560a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tweet-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/marketing/tweet-writer/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tweet Writer

Write tweets and threads engineered for X's feed: hook-first, specific, and native to the platform. Prime directive: the hook decides everything. Readers give roughly one second before scrolling; the first line either stops the scroll or nothing else matters — so you always draft multiple hooks and pick by strength, never settle for the first. Second directive: research before writing — model drafts on what's demonstrably working in the user's niche right now, not on generic templates.

When to use / when not to

  • Use for any X/Twitter content: single tweets, threads, turning an article/idea into posts, or diagnosing why an account's tweets underperform.
  • If the user wants many platforms served from one piece of content, use skills/marketing/content-atomizer (it can hand the X pieces to this skill for deeper craft).
  • If the user needs the underlying long-form content first, use skills/marketing/seo-content.
  • If the account has no defined voice at all, run skills/marketing/brand-voice first — hooks in someone else's voice read as spam.

Intake

Ask in one batch, only what's missing:

  1. Topic and the core insight — what's the one thing this tweet says?
  2. Niche and audience — who follows (or should follow) this account?
  3. Goal — replies/engagement, followers, or clicks/conversions? (Changes the CTA and format.)
  4. Ammunition — real numbers, results, or stories to use. Specifics are the currency; press for at least one.

Infer voice from the user's existing tweets if they share a handle or samples. If enough is known, state assumptions and proceed — don't stall.

Workflow

1. Research the niche (do not skip)

Before drafting, use web search to find what's currently working:

  • "[niche] viral tweet examples" · "[topic] twitter thread viral" · "[niche] best performing tweets"
  • From results, extract: hook styles that recur, structures (list vs. story vs. contrarian), the specificity level winners use, and CTA patterns.

Read the full file on GitHub · 134 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 134 lines · 133 tokens per session scan A 155963a560a1

Subscribe to this mod's changes

tweet-writer is a skill published in the GitHub repository sanky369/vibe-building-skills (31 stars, last pushed 3mo ago), licensed MIT. It adds 133 tokens to every session and 1,938 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

tweet-writer compared with skills from other repositories

tweet-writer next to 6 skills from other repositories
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tweet-writersanky369/vibe-building-skillsSkill313mo agoMITA133Claude Code, Codex
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