Ig Hook Extractor
Reverse-engineer the hook from a viral Instagram Reel or carousel, given a URL or a...
Install
npx skills add sergebulaev/instagram-skills --skill ig-hook-extractor -g -a claude-code -y- Repository
- sergebulaev/instagram-skills696
- Category
- Writing
- Updated
- 8d ago
- License
- MIT
- Context cost
- Lightabout 1,126 tokens
- Runs scripts
- No, instructions only
What it does
Reverse-engineer the hook from a viral Instagram Reel or carousel, given a URL or a pasted caption. Identifies which of the 10 canonical 2026 formulas it uses (number-first, contrarian, relatable, confession, listicle, before/after, myth-buster, framework, pattern-interrupt Reel, how-I Reel), explains why it worked, names the primary goal, and returns a blank template mapped to your topic. Use to learn from a post you admire. Not for writing your own (use ig-caption-writer or ig-carousel-planner).
Instagram Hook Extractor
Paste a viral Reel or carousel URL (or the caption text). Get back: which hook formula it uses, the exact structure, why it worked, the primary goal it chased, and a blank template you can fill with your own voice.
When to use
- User finds a viral Reel or carousel they want to study
- User wants to replicate a specific creator's pattern
- Before
ig-caption-writerorig-carousel-planner, to seed a draft with a proven shape
Input
An Instagram URL (/p/, /reel/, or a profile) or pasted caption + slide text.
This bundle has no built-in Instagram reader, so for a URL the skill asks the
user to paste the caption (and the on-image slide text for a carousel, or a quick
description of the Reel's first 3 seconds).
Output
- Formula identified (IG1-IG10 from
../../references/hook-formulas.md) with a confidence score - Surface: single image, carousel, or Reel, and why that surface fit the idea
- Structural breakdown:
- The hook (caption first 125 chars / carousel slide 1 / Reel first 3 seconds)
- Body architecture (per-slide roles for a carousel; beat order for a Reel)
- The close (what earns the save, send, or follow)
- Reaction-triggering devices (numbers, named entities, the open loop)
- Primary goal the original chased (saves / shares / comments / follows)
- 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 over the cap, an AI-vocab cluster, 30 hashtags, mixed media)
