Threads Hook Extractor
Creative Content Craftssergebulaev/threads-hook-extractor
Free · MIT
About
Reverse-engineer the hook from a viral Threads post or thread URL. Identifies which of the 10 canonical 2026 Threads formulas it uses (warm contrarian, data-point, build-in-public, quote-post, mini-list, relatable, listicle, story, curiosity-gap, how-I teardown), explains why it worked, and returns a blank template mapped to your topic with its primary goal (replies, reposts, likes, quotes). Use to learn from a post you admire. Not for writing your own (use threads-post-writer).
Documentation
Threads Hook Extractor
Paste a viral Threads post 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 post or thread they want to study
- User wants to replicate a specific creator's pattern
- Before
threads-post-writer, to seed a draft with a proven shape
Input
A Threads post or thread URL (threads.net or threads.com, /@handle/post/).
For a thread, the URL of the first post is best.
Output
- Formula identified (T1-T10 from
references/shared/hook-formulas.md) with a confidence score - Container: single post vs thread, and why that container fit the idea
- Structural breakdown:
- The hook line (and for a thread, how post 1 opens the loop)
- Body architecture (per-post roles for a thread)
- The close (what earns the repost or the reply)
- Reaction-triggering devices (numbers, named entities, the open loop, the warm invite)
- Primary goal the original chased (replies / reposts / likes / quotes)
- 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 post, an AI-vocab cluster, 2+ hashtags, link in post 1, a cold X tone)
Steps
- Parse the URL.
lib.url_parser.parse_threads_url(url)returnshandle,post_id,url_type. - Get the text. This bundle has no built-in post reader, so ask the user to paste the post or the full thread text. (If they later wire an Apify post-read actor, read it automatically.)
- Detect the container. One self-contained post, or a multi-post thread.
- Classify against the 13 formulas using features:
- Single post: a warm contrarian claim (T1)? one hard number (T2)? a personal metric/confession (T3)? a quote post adding a layer (T4)? a one-line-per-item list (T5)? a relatable shared moment (T6)?
- Thread: a numbered teaching promise (T7)? a story starting at the tension (T8)? a surprising result with the mechanism withheld (T9)? a first-person "how I" teardown (T10)?
- 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 post 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/shared/hook-formulas.md for the 13 canonical Threads formulas
with full skeletons and goal tags.
Files
SKILL.md- this filereferences/classification-rules.md- feature extraction + scoring heuristicsreferences/examples.md- worked teardowns (single post and thread)
Related skills
threads-post-writer- use the extracted template to draft your own post or threadthreads-humanizer --mode audit- audit your draft before shipping
Versions
Listed from the source repository.
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