Facebook Page Hook Extractor
SkillDev toolsReverse-engineer the hook from a high-share Facebook Page post, from its URL or pasted text. Identifies which of the 10 canonical 2026 Facebook formulas it uses (one-line opinion, tiny number, ask-the-page question, this-or-that, behind-the-scenes, story post, announcement, spotlight), explains why it earned shares or comments, and returns a blank template mapped to your topic. Use to learn from a Page post you admire. Not for writing your own (use fb-post-writer).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Facebook Page Hook Extractor skill
What this skill tells your AI
The instructions your AI receives, as published by sergebulaev/facebook-skills in skills/fb-hook-extractor/SKILL.md and read by ahel’s review.
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
- Parse the URL.
lib.url_parser.parse_facebook_url(url)returnspage,post_id,share_token,url_type. Ifurl_typeis "share", tell the user the ids are hidden and ask for the post text. - 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.
- Detect the container. A short post (one line / under ~80 chars) or a longer story post.
- 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)?
- Score confidence. If two formulas fit, return the top 2 with fit scores.
- 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.
- Name the primary goal the original optimized for (shares / comments / reactions).
- 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 10 canonical Facebook formulas
with full skeletons and goal tags.
Files
SKILL.md- this filereferences/classification-rules.md- feature extraction + scoring heuristicsreferences/examples.md- worked teardowns (short post and story post)
Related skills
fb-post-writer- use the extracted template to draft your ownfb-humanizer- audit your draft before shippingfb-content-planner- study competitors' Pages while planning
Signals
- GitHub stars
- 35
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
fb-hook-extractor- Source
- github.com/sergebulaev/facebook-skills