skillssh

Research tasks need current sources and clean page text. This skill routes search, answers, and extraction through Tavily and Exa apps.

Manual Twitter/X posting and engagement can slow campaign work. This skill uses inference.sh CLI apps to run approved posting, media, and engagement tasks.

Teams need reliable videos from React animation code without manual export work. This skill sends Remotion TSX to inference.sh and returns an MP4 render.

Agents often need Python execution without managing local packages. This skill runs scripts through inference.sh with common data, web, media, and document libraries.

Teams need one interface for many hosted AI models and media tools. This skill helps agents discover, run, and monitor inference.sh apps from the CLI.

Choosing and invoking video models can be complex. This skill provides model guidance and belt CLI examples for generation, animation, editing, lipsync, sound, and upscaling.

Choosing and invoking image models can require many provider-specific commands. This skill supplies belt CLI workflows for generation, editing, upscaling, and image composition.

Running many hosted AI models often requires separate commands and input formats. This skill organizes discovery, authentication, file uploads, task tracking, and app execution through one CLI workflow.

Manual web interaction slows research, testing, and data collection. This skill controls hosted browser sessions with structured navigation, actions, extraction, and visual capture.