Linkedin Hook Extractor

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name: linkedin-hook-extractor description: Reverse-engineer the hook formula from any viral LinkedIn post. Use when the user finds a post they want to learn from — paste the URL and get a structural breakdown. Identifies which of the 10 canonical 2026 formulas it uses (anaphora, R.I.P. obituary, year-over-year pivot, time-anchor confession, self-proving meta, odd-precision money, paid-vs-free reversal, curiosity-gap, contrarian historical, comment-gate). Returns a blank template you can fill with your own voice. Keywords: hook formula, viral teardown, reverse engineer, post structure, 2026 formulas.

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LinkedIn Hook Extractor

Paste a viral LinkedIn post URL. Get back: which hook formula it uses, the exact structure, why it worked, and a blank template mapped to your topic.

When to use

User finds a viral post they want to study

User wants to replicate a specific creator's pattern (Jake Ward, Lara Acosta, etc.)

Before linkedin-post-writer to seed a draft with a proven structure

Input

A LinkedIn post URL (any type: activity, share, ugcPost).

Output

Formula identified (F1-F10 from linkedin-post-writer/references/hook-formulas.md) with confidence score

Structural breakdown:

- Hook lines (first 210 chars) - Body architecture (sections + what each does) - Close pattern - Reaction-triggering devices (numbers, named entities, vulnerabilities)

Why it worked psychologically

Blank template filled with slot markers matched to the original, ready for the user's voice

Cautions: anything in the original post that would fail 2026 audit (em dashes, AI vocab, outdated tactics)

Steps

1. Parse URL. lib.url_parser.parse_linkedin_url → post_urn. 2. Fetch post body. HarvestAPI preferred; fall back to asking user to paste text. 3. Classify. Match against the 10 formulas using features: - First 2 lines: anaphoric? question? confession? number-led? - Body: numbered list? dated receipts? ledger? teardown? - Close: mirror question? identity reframe? commitment? 4. Score confidence. If multiple formulas fit, return top 2 with fit scores. 5. Extract structure. Pull each logical section and label it by formula role. 6. Generate blank template. Replace specifics with {slot} markers that match the user's topic. 7. Audit the source. Flag any AI tells in the original so the user doesn't copy them.

Example

> Input: https://www.linkedin.com/posts/dharmesh_every-b2b-software-company-is-or-should-activity-7448808898326654978-iW20

> Output: > - Formula: F10 Contrarian + Historical Receipts (confidence 0.72). Secondary: F5 Self-Proving Meta (0.28). > - Hook (first 210 chars): "Every B2B software company is (or should be) building an agentic version of their product." > - Body: single bold claim → 3 paragraphs of reasoning → specific list of product changes required > - Close: implicit call to action ("Seen this play out in your market yet?") > - Blank template: >

>   Every {category} {bold claim}.
>
>   {Reasoning paragraph 1 — the forcing function}
>   {Reasoning paragraph 2 — what it requires}
>   {Reasoning paragraph 3 — what breaks if you don't}
>
>   {Closing question that invites reader to take a side}
>   

> - Cautions: none (post is clean)

Formulas reference

See linkedin-post-writer/references/hook-formulas.md for the 10 canonical formulas with full skeletons.

Files

SKILL.md — this file

references/classification-rules.md — feature extraction + scoring heuristics

Related skills

linkedin-post-writer — use the extracted template to draft your own

linkedin-post-audit — audit your draft before shipping

> Input: https://www.linkedin.com/posts/dharmesh_every-b2b-software-company-is-or-should-activity-7448808898326654978-iW20

> Output: > - Formula: F10 Contrarian + Historical Receipts (confidence 0.72). Secondary: F5 Self-Proving Meta (0.28). > - Hook (first 210 chars): "Every B2B software company is (or should be) building an agentic version of their product." > - Body: single bold claim → 3 paragraphs of reasoning → specific list of product changes required > - Close: implicit call to action ("Seen this play out in your market yet?") > - Blank template: >

>   Every {category} {bold claim}.
>
>   {Reasoning paragraph 1 — the forcing function}
>   {Reasoning paragraph 2 — what it requires}
>   {Reasoning paragraph 3 — what breaks if you don't}
>
>   {Closing question that invites reader to take a side}
>   

> - Cautions: none (post is clean)