In a recent LinkedIn post, Kieran Flanagan discusses the evolving landscape of Artificial Intelligence, emphasizing the critical distinction between basic prompts and robust AI ‘skills.’ Flanagan argues that for significant results in 2024, businesses should focus on developing these integrated systems rather than relying solely on individual conversational prompts.
Flanagan’s core assertion is that the true potential of AI lies in building reusable systems, which he terms ‘skills.’ He contrasts this with the common practice of using individual prompts, stating:
“A prompt is a conversation. A skill is a system.”
This fundamental difference, according to Flanagan, is key to unlocking advanced AI capabilities. He points out that AI platforms like Claude already possess a deep understanding of users’ most effective workflows, as every conversation is stored and analyzed for repeatable patterns and valuable use cases.
The Untapped Potential of AI Memory
Flanagan highlights a significant gap in AI adoption: most users fail to convert their established conversational patterns into structured, reusable AI systems. This missed opportunity means that businesses are likely underutilizing the AI tools at their disposal.
“Claude already knows your best workflows. Every conversation is stored in memory: your repeatable patterns, your go-to instructions, your most valuable use cases,” Flanagan writes. He further elaborates on the consequence of this oversight:
“But most people never turn those patterns into reusable skills e.g., AI systems.”
To address this, Flanagan has developed a prompt designed to analyze an individual’s AI usage history and generate a personalized ‘Skill Optimization Report.’ This report aims to quantify AI proficiency and provide actionable insights for improvement.
Personalized AI Skill Optimization
The report generated by Flanagan’s prompt offers a multi-faceted analysis of AI usage. It begins by scanning the user’s interaction history to identify recurring workflows. Following this scan, it scores the user’s current AI engagement, with Flanagan noting that the results often indicate significant underutilization.
“Spoiler: most people are under 30%,” Flanagan reveals, underscoring the widespread potential for improvement. The report then provides a tailored analysis, pinpointing areas of strength and identifying opportunities where users might be ‘leaving time on the table’ due to inefficient AI practices.
Perhaps the most valuable feature of the report, as outlined by Flanagan, is its ability to auto-generate build prompts for each identified skill. This streamlines the process of transforming discovered patterns into functional AI systems.
Actionable Insights and Skill Builders
Flanagan describes the output as an ‘interactive dashboard’ that provides users with their score, personalized analysis, and ‘one-click skill builders.’ This approach simplifies the complex task of AI system development, making it accessible even to those who may not have extensive technical expertise.
“You paste one prompt, it takes minutes, and you get back an interactive dashboard with your score, your analysis, and one-click skill builders,” Flanagan explains. He also points out the collaborative potential of these generated reports, noting, “The cool thing is, you can share with others, just publish the artifact.”
By focusing on the creation of AI ‘skills’ and providing tools for personalized optimization, Kieran Flanagan encourages a more strategic and effective approach to leveraging artificial intelligence for business outcomes.
📝 About This Content
This article is based on insights shared by Kieran Flanagan on LinkedIn.
📅 Originally posted on February 17, 2026 | View original post on LinkedIn →