What problem does it solve? Managing Twitter/X activity manually—posting content, liking, retweeting, sending DMs, and following users—is repetitive and hard to scale, especially when combining social publishing with AI-generated media. ## Core Features & Use Cases - Post and Manage Tweets: Create text tweets, post with media attachments, delete posts, and fetch tweet details by ID using apps like x/post-tweet and x/post-create. - Engagement Automation: Like posts, retweet, send direct messages, follow users, and retrieve user profiles through dedicated inference.sh apps. - AI Content Pipelines: Chain media generation apps (e.g., falai/flux-dev-lora for images, google/veo-3-1-fast for videos) with x/post-create to publish AI-generated content automatically. - Use Case: Generate an image with an AI model, then immediately post it to Twitter/X with a caption in a two-step CLI workflow. ## Quick Start Ask the assistant to post a tweet saying "Hello from inference.sh!" using the twitter-automation skill after logging in with belt login.