inference-sh-skills

AI tools cannot access current web information on their own. This skill searches the web using Tavily and Exa APIs through the belt CLI.

Manual posting, liking, and messaging on Twitter and X is slow and hard to scale across many accounts and workflows. This skill lets Claude, Codex, and Claude Code drive the inference.sh belt CLI to post tweets, attach media, like, retweet, send direct messages, follow users, and fetch profiles with simple commands.

Creating MP4 videos from React components requires complex rendering infrastructure that is difficult to set up locally. This skill sends your Remotion TSX code to the inference.sh cloud API and returns a ready-to-use MP4 video file with configurable resolution, FPS, and duration.

Developers need a safe way to run Python code for data processing and automation without local setup. This skill executes Python scripts in a sandboxed environment with 100+ pre-installed libraries via the inference.sh platform.

Running AI models like FLUX, Veo, and Gemini requires powerful hardware and complex setup. This skill lets you access 250+ AI apps directly from your terminal with a simple CLI command, no GPU needed.

Creating professional videos from text prompts or images is time-consuming and requires technical skills. This skill provides a simple CLI interface to generate, edit, and enhance AI videos using state-of-the-art models like Google Veo, Seedance 2.0, and HappyHorse directly from Claude Code.

Creating AI-generated images requires accessing multiple APIs with different parameters. This skill provides a unified CLI interface to generate images with GPT-Image-2, FLUX, Gemini, and 50+ other models.

Creating professional talking head videos requires expensive equipment and editing skills. This skill enables you to generate realistic AI avatar videos from a single portrait image and text or audio input using the inference.sh CLI.

Running AI models requires expensive GPU hardware and complex setup. This skill provides instant access to 250+ AI models through a simple CLI with no local installation needed.

Browser automation tools require complex CSS selectors and DOM parsing. This skill lets AI agents navigate and interact with web pages using simple @e element references through the inference.sh platform.