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Threads hook extractor

Skill sergebulaev/threads-skills/.codex-marketplace/threads-skills/skills/threads-hook-extractor

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).From its SKILL.md

Install
npx -y skills add sergebulaev/threads-skills --skill threads-hook-extractor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 17 stars17 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.7 KB, 832 tokens by cl100k_base, as published. Nobody here has run it

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/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 (em dashes, AI vocab, 2+ hashtags, link in post 1, a cold X tone)

Steps

  1. Parse the URL. lib.url_parser.parse_threads_url(url) returns handle, post_id, url_type.
  2. 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.)
  3. Detect the container. One self-contained post, or a multi-post thread.
  4. 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)?
  5. Score confidence. If two formulas fit, return the top 2 with fit scores.
  6. 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.
  7. Name the primary goal the original optimized for.
  8. Generate a blank template with {slot} markers matched to the original shape and the user's topic.
  9. 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 13 canonical Threads 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 post and thread)

Related skills

  • threads-post-writer - use the extracted template to draft your own post or thread
  • threads-humanizer --mode audit - audit your draft before shipping

What ships with it: 2 files

6.3 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most docs writing skills give in 832 tokens

Counted across 1,951 of the 3,904 authors here whose files we hold, read 2026-09-06

  • Use third-person for skill descriptionsin 54 of 1951, across 35 files
  • Start descriptions with Use whenin 43 of 1951, across 29 files
  • Run baseline scenarios before writing any skillin 40 of 1951, across 26 files
  • Use active voicein 40 of 1951, across 36 files
  • Map file responsibilities before defining tasksin 36 of 1951, across 29 files
  • Use checkbox syntax for tracking stepsin 35 of 1951, across 27 files
  • Ask one question at a timein 35 of 1951
  • Offer execution options after saving the planin 33 of 1951, across 24 files
  • Include complete code in every stepin 33 of 1951, across 27 files
  • Design units with clear boundaries and interfacesin 31 of 1951, across 23 files
  • Announce the skill usage at the startin 30 of 1951
  • Verify agent compliance after adding the skillin 29 of 1951, across 17 files

Said here and by no other author read

  • classify post against ten canonical facebook formulas
  • identify the primary engagement goal
  • generate a blank template with slot markers
  • parse the provided threads url
  • ask user to paste post or thread text
  • map structural roles for each post

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.