linkedin-ghostwriting
B2B LinkedIn ghostwriter: turn stories and insights into high-conversion posts. Features strategic interviews, hook engineering, and optimized copywriting.
Introduction
This skill acts as a professional B2B ghostwriter for LinkedIn, designed to transform raw expert insights, authentic stories, and business results into high-impact, authority-building content. It is tailored for founders, executives, and content strategists who need to maintain a strong social presence without spending excessive time on drafting. By following a rigid three-phase workflow—Strategic Interview, Hook Engineering, and Post Body creation—it ensures every post is optimized for conversion rather than vanity metrics.
The agent forces structural tension by requiring specific inputs like quantified results, counter-intuitive insights, and clear mechanisms before proceeding. It focuses on the ABT (And-But-Therefore) logic, mobile-first formatting, and the 'Costly Signal' mental model to build credibility. By adhering to the 'Jenga vs. Kapla' and 'Aristotle's Triptych' frameworks, the output remains concise, punchy, and logically sound, effectively driving DMs and profile visits.
- Phase 1: Structured Strategic Interview to extract audience context, business objectives, results (Before/After), methods, and credibility markers.
- Phase 2: Hook Engineering that prioritizes radical specificity and tension over vague promises, utilizing frameworks found in the skill's reference repository.
- Phase 3: Post Body generation applying rigorous copywriting principles like active voice, cut-padding, and logical narrative flow to maximize reader retention.
- Mobile-optimized formatting, ensuring short, punchy paragraphs and bullet points for high-readability on LinkedIn mobile.
- Strategic CTA placement that avoids open-ended questions, directing users toward clear business actions.
- Operates with strict constraints against rhetorical questions, emoji abuse, and common content clichés to ensure a premium, professional brand voice.
- Designed for high-authority B2B social strategy, focusing on turning content into conversations (allbound strategy).
- Inputs include user stories, data points, or raw drafts; outputs are ready-to-publish, conversion-focused LinkedIn posts.
Repository Stats
- Stars
- 4,441
- Forks
- 1,205
- Open Issues
- 7
- Language
- Python
- Default Branch
- main
- Sync Status
- Idle
- Last Synced
- Apr 29, 2026, 03:03 PM