In a recent LinkedIn post, Ruben Hassid outlines a rapid, structured approach for users to fully leverage the advanced capabilities of the AI model Claude, even for those new to the platform. Hassid proposes a four-layer system that can purportedly be mastered over a single weekend, moving from basic chat interactions to complex computer automation.
The guide, shared by Hassid, breaks down the learning process into distinct stages, each building upon the last. He begins by emphasizing the importance of moving beyond simple prompting techniques to unlock deeper functionalities.
“Most people stay here forever. You’re leaving 90% of Claude untouched.”
Hassid argues that the initial level, which he terms ‘Claude Chat,’ involves setting up the desktop application, selecting premium versions like Opus 4.8 with Extended Thinking, and integrating essential connectors for Slack, Drive, and Notion. He suggests a specific prompt structure for efficiency: “I want to [TASK] for [SUCCESS CRITERIA]. Use AskUserQuestion before you start.”
Unlocking Deeper Integration with Claude Cowork
The second layer, ‘Claude Cowork,’ is presented as a significant step up from basic prompting. Hassid details the creation of a structured folder system within the Cowork environment, including dedicated spaces for personal information (‘about-me.md’), style guidelines (‘anti-ai-style.md’), project templates, and output storage. A key element here is the configuration of ‘Global Instructions’ within settings.
“Always read my files first, never edit my originals, deliver everything to CLAUDE OUTPUTS.”
According to Hassid, implementing these global instructions effectively ‘kills prompting’ as users know it, reducing future interactions to brief folder references and concise commands. This level is accessible via claude-co.work.
Advanced Features: Skills and Plugins
Hassid’s third layer, ‘Skills + Plugins,’ focuses on automating repetitive tasks. He explains how to use Claude’s ‘skill-creator’ to build custom skills by answering the AI’s interview questions. Once a skill is generated and refined, it can be uploaded and set to trigger automatically, eliminating the need for manual invocation.
Leveraging Skills and Voice Tone
The integration of ‘Skills’ with the ‘about-me.md’ file and a separate ‘Voice file’ allows for a dual-layered approach to AI interaction, handling both process and tone simultaneously. Hassid also points to the ‘Browse plugin’ feature within Cowork for further customization.
The Pinnacle: Claude Computer and Code Integration
The final and most advanced layer, ‘Code + Computer,’ involves leveraging Claude’s coding capabilities and desktop integration. Hassid suggests connecting GitHub to create repositories and generate code directly. He recommends using VS Code with the Claude extension and enabling ‘Skip Permissions’ for accelerated development.
“Create a GitHub repo named [project]. Code everything. Don’t ask for permissions.”
Furthermore, Hassid highlights the ‘Claude Computer’ feature, which enables the AI to operate directly on the user’s desktop, interact with their phone via Dispatch, and even schedule recurring tasks. This, in his view, signifies a shift from working *in* Claude to having Claude work *on* your computer.
Hassid concludes by contrasting the initial Saturday experience of basic prompting with the Sunday outcome: Claude actively managing screen operations, building websites, and providing automated updates. This comprehensive weekend strategy, as detailed by Hassid, aims to equip users with a profound understanding and utilization of Claude’s full potential.
📝 About This Content
This article is based on insights shared by Ruben Hassid on LinkedIn.
📅 Originally posted on June 9, 2026 | View original post on LinkedIn →