X Hook Extractor Agent Skill

X Hook Extractor

Paste a viral tweet or thread URL. Get back: which hook formula it uses, the

exact structure, why it worked, and a blank template you can fill with your own

voice.

When to use

• User finds a viral tweet or thread they want to study
• User wants to replicate a specific creator's pattern
• Before x-post-writer or x-thread-builder, to seed a draft with a proven shape

Input

An X tweet or thread URL (x.com or twitter.com, /status/<id>). For a thread,

the URL of the first tweet is best.

Output

• Formula identified (X1-X10 from ../../references/hook-formulas.md) with a

confidence score

• Container: single tweet vs thread, and why that container fit the idea
• Structural breakdown:
• The hook line (and for a thread, how tweet 1 opens the loop)
• Body architecture (per-tweet roles for a thread)
• The close (what earns the repost or bookmark)
• Reaction-triggering devices (numbers, named entities, the open loop)
• Primary goal the original chased (replies / reposts / likes / bookmarks)
• Why it worked psychologically and algorithmically
• Blank template with {slot} markers matched to the original, ready for the

user's topic

• Cautions: anything in the original that would fail a 2026 audit (more

than one em dash in a tweet, an AI-vocab cluster, 3+ hashtags, link in tweet 1)

Steps

• Parse the URL. lib.url_parser.parse_x_url(url) returns handle,

tweet_id, url_type.

• Get the text. This bundle has no built-in tweet reader, so ask the user to

paste the tweet or the full thread text. (If they later wire an Apify tweet

actor, read it automatically.)

• Detect the container. One self-contained tweet, or a multi-tweet thread.
• Classify against the 11 formulas using features:
• Single tweet: a flat contrarian claim (X1)? one hard number (X2)? a personal

metric/confession (X3)? a quote tweet adding a layer (X4)? a one-line-per-

item list (X5)? a relatable shared moment (X6)?

• Thread: a numbered teaching promise (X7)? a story starting at the tension

(X8)? a surprising result with the mechanism withheld (X9)? a first-person

"how I" teardown (X10)?

• Score confidence. If two formulas fit, return the top 2 with fit scores.
• Extract structure. Label each part by its role. For a thread, map tweet 1

(the loop), the front-loaded payoff, the body beats, and the closer.

• Name the primary goal the original optimized for.
• Generate a blank template with {slot} markers matched to the original

shape and the user's topic.

• Audit the source. Flag any AI tells in the original so the user does not

copy them.

Example

See references/examples.md for worked teardowns.

Formulas reference

See ../../references/hook-formulas.md for the 11 canonical X formulas with full

skeletons and goal tags.

Files

• SKILL.md - this file
• references/classification-rules.md - feature extraction + scoring heuristics
• references/examples.md - worked teardowns (single tweet and thread)

Related skills

• x-post-writer - use the extracted single-tweet template to draft your own
• x-thread-builder - use the extracted thread template
• x-humanizer --mode audit - audit your draft before shipping