linkedin-post

The linkedin-post skill is a specialized content generation agent designed to transform technical product updates and agent-based banking insights into high-performing LinkedIn posts. It bridges the gap between raw Twitter/X engagement data and the more professional, narrative-driven environment of LinkedIn. By leveraging historical performance data from the Tweet Lab database, the agent identifies winning hooks, visual patterns, and relatable pain points to craft content that drives meaningful professional interaction. The skill is specifically tailored for 0 Finance messaging, ensuring that all copy adheres to strict compliance protocols while maintaining an authentic, human-centric tone suitable for founders, developers, and fintech professionals. It is the primary tool for translating the 'CLI-first banking' ethos into accessible, viral-potential social media content.

• Analyzes Tweet Lab performance data to select high-engagement hooks such as personal stories, 'before-and-after' transformations, and demo-heavy showcases.

• Implements a rigorous compliance check against SEC red-flag language, automatically replacing non-compliant terms with approved financial phrasing like 'non-custodial architecture' and 'direct protocol interaction.'

• Structures content using a proven LinkedIn-specific framework: impactful opening hooks, clear context, technical insights, verifiable proof, and soft, non-salesy calls to action.

• Supports multi-format content generation including video teasers, product demos, and behind-the-scenes engineering narratives.

• Uses Notion integrations to fetch marketing audits and past performance metrics for iterative content improvement.

• Operates by accepting input regarding a specific feature, tool release, or development milestone to draft a full post.

• Requires inputs such as visual references (screenshots or video ideas) and a core development narrative to maintain authenticity.

• Adheres to a strict 'professional but casual' tone shift, converting Twitter's all-lowercase style into readable, structured LinkedIn sentence case.

• Operates under a strict character limit (3000 chars) and enforces visual-first communication strategies (video > image > text).

• Users should review the output against the built-in checklist before publishing, ensuring all line breaks, hashtags, and CTA placements align with current engagement best practices.