Tweet Writer

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.

Summarize findings in 3–5 bullets — this brief steers every drafting choice. If web search is unavailable, say so and fall back to the hook taxonomy in references/tweet-hooks.md, labeling the approach as template-based rather than researched.

2. Choose format by goal and material

3. Draft 3 hooks (always)

Generate three genuinely different hooks — different types, not rewordings. Pull from these families (full taxonomy with examples: references/tweet-hooks.md):

• Specific result: "I [result] in [timeframe]. Here's how:" — strongest when real numbers exist
• Contrarian/pattern interrupt: "Everyone says [X]. They're wrong." / "Stop doing [common practice]."
• Curiosity gap: "The one thing [group] gets wrong about [topic]:"
• Story: "[Time] ago I was [bad state]. Today [good state]."
• List promise: "[N] [things] that [benefit]:"
• Extreme: "The best/worst/fastest [X] I've ever [Y]" — superlative, then overdeliver

Hook rules: lead with the payoff, not context; concrete number > adjective ("12,847 followers in 63 days" beats "grew fast"); first 7 words must carry the whole promise. Recommend one hook with a one-line reason; the user picks.

4. Write the body

Single tweet — aim ≤110 characters when the idea allows (heuristic: shorter scans faster and quotes better); apply a frame: PAS (problem → agitate → solution), BAB (before → after → bridge), or bare list. One idea only.

Thread — 5–10 tweets:

1. Hook tweet — the chosen hook + thread signal ("🧵" or a colon ending)
2. Context tweet — why this matters, deepen the curiosity
3. Body tweets (one idea each) — ≤250 chars per tweet; number them (2/, 3/ …); every tweet must earn the next click — end tweets on mini-cliffhangers or completed punches, never mid-mush
4. Summary tweet — compress the takeaways
5. CTA closer — exactly one ask: a question (drives replies), "follow for more [specific topic]", or a link — and links go in a reply under the thread, not in tweet 1

Persuasion levers to apply throughout: specificity (real numbers), social proof (real counts/names), curiosity gaps, relatability ("when you finally…"), tasteful contrarianism. All numbers and results must come from the user or the research — never fabricate metrics, follower counts, or outcomes.

5. Package and deliver

Run the quality bar, then deliver the Tweet Package. Include posting notes: platform-mechanics heuristics, clearly labeled as such — early engagement matters (be available to reply in the first hour); replies and bookmarks appear to outweigh likes; external links in the main tweet correlate with suppressed reach (put them in a reply); asking for likes/RTs reads as spam and underperforms. Don't promise algorithmic outcomes — these are patterns, not guarantees.

Required output format

# Tweet Package — [topic]

## Research brief
- [3–5 bullets: patterns found in the niche, or "web search unavailable — template-based"]

## Hook options
1. [Type] "…" (n chars)
2. [Type] "…" (n chars)
3. [Type] "…" (n chars)
Recommended: #_ — [one-line reason]

## Single tweet
"…" (n chars)

## Thread
1/ "…" (n chars)
2/ "…" (n chars)
...
[Link-in-reply text, if goal = clicks: "…"]

## Alternates to test
- [1–2 alternate hook tweets or a variant angle]

## Posting notes
- CTA: [the one ask] · Link placement: [none | in reply]
- [Heuristics that apply: reply-window availability, no engagement-begging, etc.]

Quality bar

Count, don't eyeball:

• 3 hook options of genuinely different types, each with char count
• Single tweet ≤280 chars (target ≤110); every thread tweet ≤250 chars
• First 7 words of the chosen hook carry the promise — read them alone and check
• At least one concrete specific (number, timeframe, named thing) in the hook or body — or explicitly flagged that the user provided none
• All numbers/results real (from user or cited research); nothing invented
• Exactly one CTA, in the closer only; no "like and RT" begging anywhere
• No external link in the main tweet — link text staged for a reply
• One idea per tweet; no filler tweets ("let me explain…" alone is not a tweet)
• Voice matches the user's samples — a follower should believe they wrote it

Integration

• skills/marketing/brand-voice — supplies the voice; run first for new/undefined accounts.
• skills/marketing/content-atomizer — feeds this skill article-derived ideas for X; sends back the finished tweets into its distribution pack.
• skills/marketing/seo-content — published articles are prime thread source material; the thread's link-in-reply points back to the article.
• skills/marketing/direct-response-copy — deepens conversion-focused CTAs when a tweet/thread sells directly.

References

• references/tweet-hooks.md — the full 8-framework hook taxonomy (Extreme, AIDA, PAS, BAB, and more) with structures and examples. Read it at Step 3 when drafting hooks, or whenever the three drafts feel same-y and you need a different attack angle.