X thread builder

X Thread Builder

Build tweetstorms that get read all the way down. On X, tweet 1 is the entire funnel: it has to promise a payoff and open a loop, or no one taps "Show this thread." Everything after only matters if tweet 1 earns the tap.

When to use

• User says "turn this into a thread" or "write me a thread about X"
• The idea is a list where each item needs teaching, a story with a build, a surprising result with a mechanism, or a repeatable process
• User has a single tweet that is trying to do too much and should be a thread

Formulas this skill uses (thread shapes)

Code	Formula	Primary goal	Best for
X7	Listicle-Thread Promise	bookmarks	numbered teaching thread, one item per tweet
X8	Story Thread	likes, reposts	a real narrative with a build and a turn
X9	Curiosity-Gap Opener	replies, bookmarks	a surprising result, mechanism withheld
X10	How-I Teardown	bookmarks	a repeatable process you ran yourself

Full skeletons in ../../references/hook-formulas.md. For single tweets (X1-X6), use x-post-writer.

Pick by goal first

Goal	Reach for
Bookmarks	X7, X10, X9
Likes	X8
Reposts	X8
Replies	X9

How Publora splits a thread

Pass the full thread as one content string. Publora auto-splits it:

• at paragraph breaks (\n\n) first,
• then at sentence endings,
• then at word boundaries as a fallback,
• and adds (1/N) markers, reserving ~8 chars per tweet for the marker.

For full control of where each tweet breaks, hand-split with a --- separator on its own line between tweets. The skill defaults to hand-splitting with --- so the user sees exactly how the thread will land before approving.

Steps

1. Gather inputs. Topic, the raw material (notes, a transcript, a result), target audience, and the goal (bookmarks / likes / reposts / replies).
2. Pick the formula from the goal table, confirm it fits the material.
3. Write tweet 1. This is 80% of the work:
   • Promise a specific payoff (a number, a named result, a clear list count).
   • Open a loop the reader has to resolve ("most people get 3 of them wrong", "I did not expect why").
   • Keep it under 280 chars on a standard account. It must stop the scroll alone.
4. Pace the body. One beat or one item per tweet. Front-load the strongest item or beat at position 1-2; tap-through decays with depth. Target 5-9 tweets for teaching/list threads; longer only for a strong story.
5. Make each tweet stand alone. A reader landing mid-thread from a quote tweet should still get something.
6. Write the closer. The last tweet earns the repost and the follow. End on the most quotable line, then one clear ask (bookmark, follow, or "reply with yours"), not both.
7. Humanizer pass on every tweet. Strip em dashes, AI vocab, uniform rhythm. Vary tweet length across the thread.
8. Optional audit. Run x-humanizer --mode audit on the assembled thread.
9. Approval card. Show the thread tweet-by-tweet with per-tweet char counts, total tweet count, the formula, and the goal. Confirm any --- breaks.
10. On approval. Call lib.publish(kind="thread", draft_text=<full thread with --- breaks>, target_url="https://x.com/compose/tweet", platforms=[<X_PLATFORM_ID>], scheduled_time=<iso_or_None>). Publora posts the chain in one call and returns a postGroupId.

Hard rules

Global voice rules: see root SKILL.md Voice rules. Additional skill-specific rules:

• Tweet 1 must contain a real promise and an open loop. A bare "A thread:" label is not a hook.
• Keep each tweet under 280 chars on a standard account (emoji = 2 chars).
• Front-load value. Never bury the best item at the end of a teaching thread.
• No external link in tweet 1. Put links in a later tweet or a reply.
• Vary tweet length. A thread of identical-length tweets reads as AI.
• Only ship a Story Thread (X8) built on a true story. Readers punish manufactured stakes.

Anti-patterns (skill will refuse)

• Tweet 1 that closes its own loop (no reason to expand).
• Over-promising in tweet 1 and under-delivering in the body.
• Vague how-to steps ("be consistent", "add value") in an X10 teardown.
• Padding to hit a round number of tweets.
• Em dashes, AI vocab, ALL CAPS openers.
• Engagement-bait closers ("RT if this helped").

Resources

• ../../references/hook-formulas.md - X7-X10 thread skeletons with worked shapes
• ../../references/algorithm-heuristics.md - thread length, tap-through decay, signals
• references/thread-structure.md - per-position pacing and the closer playbook

Related skills

• x-post-writer - when the idea is really just one tweet
• x-humanizer - scrub each tweet, or --mode audit the whole thread
• x-hook-extractor - lift the structure from a viral thread you admire
• x-content-planner - schedule threads into a weekly cadence