Reverse-engineer the hook from a high-share Facebook Page

Facebook Page Hook Extractor

Paste a high-share Page post URL (or the text). 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 high-share Page post they want to study
• User wants to replicate a specific Page's pattern
• Before fb-post-writer, to seed a draft with a proven shape

Input

A Facebook Page post URL (any of the many shapes: /posts/, permalink.php, /watch/, share/p/). For a share/p/ link the page and post ids are hidden behind an opaque token, so paste the post text. The bundle has no built-in Page reader, so the user pastes the post text either way.

Output

• Formula identified (FB1-FB10 from ../../references/hook-formulas.md) with a confidence score
• Container: short post vs story post, and why that container fit the idea
• Structural breakdown:
  • The hook line (and for a story post, how the first line earns the "See more" tap)
  • Body architecture (the beats, for a longer post)
  • The close (what earns the share or the comment)
  • Interaction-triggering devices (numbers, named entities, the question, the turn)
• Primary goal the original chased (shares / comments / reactions)
• Why it worked psychologically and algorithmically (meaningful interactions)
• 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 over the cap, an AI-vocab cluster, "We are thrilled to announce", engagement bait, 5+ hashtags)

Steps

1. Parse the URL. lib.url_parser.parse_facebook_url(url) returns page, post_id, share_token, url_type. If url_type is "share", tell the user the ids are hidden and ask for the post text.
2. Get the text. This bundle has no built-in Page reader, so ask the user to paste the post (and any first comments, if relevant). If they later wire an Apify Page actor, read it automatically.
3. Detect the container. A short post (one line / under ~80 chars) or a longer story post.
4. Classify against the 10 formulas using features:
   • Short post: a flat opinion (FB1)? one hard number (FB2)? an easy question (FB3)? a binary this-or-that (FB4)? a relatable shared moment (FB5)? a behind-the-scenes glimpse (FB6)? a usable tip (FB7)?
   • Story post: a narrative with a turn (FB8)? a launch led human (FB9)? a named customer/team spotlight (FB10)?
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 story post, map the first line (the "See more" tap), the beats, and the closer.
7. Name the primary goal the original optimized for (shares / comments / reactions).
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 10 canonical Facebook 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 (short post and story post)

Related skills

• fb-post-writer - use the extracted template to draft your own
• fb-humanizer - audit your draft before shipping
• fb-content-planner - study competitors' Pages while planning