Hook Machine
# Hook Machine (meta.ai edition)
A full multi-turn workflow for **meta.ai (Muse Spark)**, Instagram only. It reads a creator's public reels, extracts why the winners win, builds a grading rubric, then generates, grades, and rewrites hooks for any topic.
This is not a fill-in-the-blank template like the rest of the library. It is delivered whole. The user pastes the entire block below into meta.ai and works through it turn by turn.
**How this skill hands it out:** output everything inside the code block, unchanged, in one code block, with the one-line instruction: "Paste this into meta.ai (logged in with the relevant Instagram account). Work through it step by step." Do not fill variables, do not trim steps, do not strip the STEP 0 capability check.
**The honest caveat to say out loud when you hand it over:** the whole workflow depends on Muse Spark returning verbatim spoken opening lines and per-video view counts. That is unverified. STEP 0 forces meta.ai to admit what it cannot pull before anything else runs. If it reports it cannot get transcripts or views, the user pastes that back and we re-scope. The first real run is the only proof it works.
---when to use it
Community prompt sourced from the open-source GitHub repo nataliacorrea03/claude-code-skills (MIT). A "Hook Machine" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
writingcommunitygeneral
source
nataliacorrea03/claude-code-skills · MIT
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