Generate landing page strategy and three headline options from product state and customer interview data.
npx skills add https://github.com/october-academy/agnt --skill landing
Please help me install this Agent Skill. Skill: landing Source: https://github.com/october-academy/agnt/tree/main/skills/landing Command: npx skills add https://github.com/october-academy/agnt --skill landing
빠르고 실용적인 랜딩 전략과 카피 방향이 없어 방문자 전환을 제대로 테스트하지 못하는 문제를 해결합니다. 인터뷰에서 나온 고객 언어와 프로젝트 상태(state)를 통합해 헤드라인, 서브헤드, CTA와 페이지 구조를 빠르게 만들어줍니다.
Ask the landing skill to generate three headline drafts, a subhead, a recommended CTA, and a one-screen hero structure using the current AGNT project state and any interview quotes available.
High-intent search queries and answers about installing and using this skill.
Landing page headlines using customer interview data are generated by integrating actual VOC phrases with the current product state, producing three headline options across Outcome, Problem, and Specificity perspectives with supporting rationale.
A high-converting landing page structure uses an 11-section checklist guided by JTBD Four Forces analysis and Anti-AI-Slop rules, validating the hero headline, subhead, CTA, and page flow through Seven Sweeps conversion checks.
A/B test headline ideas for solo product launches are created by reading the AGNT project state and interview quotes, then drafting three distinct hero headlines with a subhead, recommended CTA, and one-screen hero structure for immediate testing.
Yes, you can generate a hero section and CTA from an AGNT state.json file by reading the state with fallback paths, consulting copy-frameworks and anti-ai-slop references, writing strategy notes to journey-brief.md, and updating state meta fields.
VOC copywriting improves landing page conversion rates by prioritizing actual customer interview expressions over generic marketing language, creating empathetic hero headlines and subheads that match visitor intent and reduce bounce rates.
Automated landing page copy generation is limited to early-stage solo products and marketing experiments, relying on existing interview data and AGNT state files, and requires manual conversion validation through the Seven Sweeps review process.
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