Comment utiliser les SKILLS ANTIGRAVITY mieux que 99 % des gens

In this presentation, Simon de Lima, an AI entrepreneur and ambassador for the French national plan AOSIA, details a sophisticated system for creating "digital AI employees" using the Google Anti Gravity environment combined with Claude Opus 4.6. The core of his approach is the creation of "skills"—autonomous agents designed to handle specific business tasks 24/7. According to de Lima, this combination represents the most powerful and accessible way to build a multi-agent system that increases productivity and generates revenue with minimal manual intervention. ### The Technical Foundation The process begins within the Google Anti Gravity interface, where de Lima integrates "Claude Code." The setup involves linking a local project folder, titled "Wolf Skills," to the environment. By opening a terminal within Anti Gravity and initiating the "Claude" command, the user gains direct access to the AI model's coding capabilities within their file structure. The goal is to move beyond simple prompting and instead build a "multi-agent, multi-capacity" assistant. This system is designed to be modular, meaning it can be expanded with new competencies—or skills—over time. The architecture relies on a structured directory where each agent or skill resides in its own folder, containing the necessary logic, documentation, and API connections to perform its designated role. ### The "Skill Creator" Agent The first and most critical step in de Lima's system is the creation of a "Skill Creator." This is a meta-agent designed to build other agents. By providing a detailed 85-line prompt, de Lima instructs Claude to generate a file named `Skill.md`. This file acts as a documentation and rule set that gives the AI the specific competence of building, modifying, or improving other Anti Gravity skills. This "Inception-style" approach allows the user to automate the expansion of their AI workforce. Instead of manually coding every new feature, the user simply tells the Skill Creator what they need—for example, "I want a skill that automates X"—and the system generates the necessary Python scripts and functional logic to make that skill operational. ### Practical Skill Implementations To demonstrate the power of this system, de Lima builds and tests four distinct skills designed for his own business needs: 1. **URL Shortener (Tapit Integration):** De Lima frequently shares links across social platforms like LinkedIn and Instagram. Manually creating shortened, tracked links is a repetitive task. He creates a skill that connects to the "Tapit" software API. By providing the API key to Claude, the agent learns to take a long YouTube URL and automatically generate a personalized, shortened link ready for sharing. 2. **Automated Form Creation (Tali Integration):** Using the "Tali" software API, de Lima develops a skill that can instantly generate recruitment forms, waitlists, or lead magnets. Instead of spending 20 minutes manually configuring fields and titles, he can simply prompt the agent: "Create a contact form with fields for name, email, and message." The agent executes the API calls and returns a functional URL for the new form in seconds. 3. **YouTube SEO Description Generator:** This agent is designed to streamline content creation. By providing a YouTube URL (even a non-listed one), the skill scrapes the content or transcript and generates a fully optimized SEO description. This eliminates the need to manually move data between ChatGPT and YouTube, as the agent understands the context of the video and the user’s specific style requirements. 4. **Multi-Channel Content Promotion:** This is the most complex skill, triggered by the intent to "promote a video." Once activated, the agent analyzes a video and simultaneously generates a five-slide Instagram story, a Telegram announcement, and a 30-to-45-second script for a video Reel. This allows for instant cross-platform marketing with zero additional writing effort. ### Remote Control and Mobility One of the most significant insights shared is the use of the "Claude Remote Control" feature. This functionality allows the user to pilot their entire Anti Gravity project from any device, such as a phone or an iPad, while the actual processing and code execution remain on the primary computer. De Lima demonstrates this by accessing his "Wolf Skills" project from an iPad. He issues a single command to test all three content skills at once: shortening a link, generating an SEO description, and creating promotional scripts. The system processes these tasks in parallel, proving that a complex AI agency can be managed remotely from anywhere in the world. ### Commercialization and the Future The final stage of the presentation focuses on how entrepreneurs can monetize these systems. While using a terminal or remote control is efficient for personal use, de Lima suggests building custom web interfaces for clients. He shows a prototype interface where a client could simply input a link and click buttons to trigger the underlying AI skills. By deploying these projects via tools like Vercel, entrepreneurs can provide high-value, personalized AI solutions to businesses without needing deep traditional coding knowledge. De Lima concludes that the current AI landscape, particularly with tools like Claude Code and Anti Gravity, removes technical barriers to entry. The only remaining limit is the user’s imagination in identifying which business processes can be transformed into autonomous "skills." He emphasizes that the speed, reliability, and robustness of these agents represent a massive financial opportunity for those who can effectively distribute and commercialize them.