← ClaudeAtlas

the-hook-lablisted

Takes a LinkedIn post draft and generates four scored hook variants for the opening one or two lines before the see-more cutoff, each built on a distinct psychological framework, with a recommendation and the reason it wins. Use when a post's opening feels flat, or when testing hooks before publishing. Boundary: LinkedIn post openings only. `the-subject-line-lab` does the equivalent job for cold email subject lines, and `the-cold-opener` writes the opening line of a cold email body.
sidchaudhary/gtm-skills · ★ 1 · AI & Automation · score 74
Install: claude install-skill sidchaudhary/gtm-skills
> **State the character budget you are writing to.** LinkedIn truncates at roughly 210 characters on > desktop and nearer 140 on mobile, and mobile is the majority of feed consumption — so a hook that > survives on desktop and gets cut on mobile is a failed hook. Write to the mobile budget, give the > character count of every variant, and mark any that only clears the desktop cutoff. # The Hook Lab Generate four hook variants for a LinkedIn post and recommend the strongest one. The hook is the first 1-2 lines before LinkedIn's "see more" cutoff. If it does not stop the scroll, the rest of the post does not matter. > **Copy standard.** Read `references/outbound-copy-standards.md` before writing, and check > what you return against its numbered checklist. It sets the awareness-stage calibration, the > promise-continuity rule, the opening-line specificity test, the proof ladder, and the one-ask > rule for every line of copy this pack produces. Its checks are additional to this skill's own. ## Context 1. Check for `.agents/product-context.md`. If missing, ask the user to run `product-context` first, or ask inline for the target persona and brand voice, including the banned-word list. 2. Read `.agents/product-context.md` for the target persona and brand voice, including the banned-word list. Any input below that these already cover is usually recorded there: pull it and confirm with the user rather than asking them to restate it. 3. The banned-word list in that file is bindi