The video showcases how the creator trained Claude Code, an AI assistant, to autonomously operate their X (Twitter) account—including researching posts, creating memes, and posting content—without using the official API, by teaching it step-by-step browser-based skills documented in a skills.md file. The creator also demonstrates expanding Claude Code’s abilities to analyze both audio and video content from X posts, and introduces a playful skills marketplace for sharing these AI-driven workflows.
In this video, the creator demonstrates how they have trained Claude Code, an AI coding assistant, to autonomously operate their X (formerly Twitter) account without using the official API. The process begins with a simple prompt to Claude Code: open X.com, research top posts about Claude Code from the last 24 hours, create a meme based on this research, and post it. The video shows Claude Code navigating the X interface, searching for relevant posts, analyzing comments for sentiment, generating a meme image, and successfully posting it—all in real time. This showcases the AI’s ability to perform complex, multi-step tasks on social media platforms.
The creator explains their training methodology, which involves connecting Claude Code to a Chrome browser and iteratively teaching it new skills. Each skill, such as posting a meme or analyzing a post, is broken down into clear steps. These steps are refined through trial and error until the workflow is reliable. Once a skill is mastered, it is documented in a skills.md file, allowing the AI to repeat the process autonomously in the future. This approach enables the AI to build a repertoire of skills that can be reused and expanded upon.
The video then shifts focus to teaching Claude Code how to handle video content on X. The creator demonstrates how to prompt the AI to download a video from a post, check for audio using FFmpeg, and extract frames for visual analysis if the video lacks audio. The AI is guided to analyze these frames to summarize the video’s content, and the process is documented as a new skill. This enables Claude Code to understand and interact with video posts, even when they do not contain audio.
Next, the creator tackles videos with audio. They instruct Claude Code to download a video, extract the audio as an MP3, and use a local Whisper model to transcribe the audio into text. This transcription provides full context for the video, which the AI can then use for further analysis or to generate summaries. The workflow is again documented in the skills.md file, ensuring that Claude Code can autonomously process and understand videos with audio in the future.
Finally, the creator introduces a playful project: a skills marketplace at skillsmd.store, where users can (theoretically) purchase and download the skills files developed for Claude Code. The video concludes with the creator expressing excitement about the potential of AI agents like Claude Code to automate complex web tasks, mentioning other experiments such as automating Gmail and eBay workflows. The creator encourages viewers to like and subscribe if they found the demonstration inspiring, hinting at more content to come as they continue to expand Claude Code’s capabilities.