Create and query agent-im conversation sessions with progress polling and file uploads.
npx skills add https://github.com/SpaceZephyr/myskill --skill libtv-skill-spacezephyr
Please help me install this Agent Skill. Skill: libtv-skill Source: https://github.com/SpaceZephyr/myskill/tree/main/libtv-skill Command: npx skills add https://github.com/SpaceZephyr/myskill --skill libtv-skill-spacezephyr
This Skill removes the manual overhead of creating agent-im sessions, sending generation prompts, tracking progress, switching projects, and uploading media files for image and video workflows.
Ask the skill to create or continue an agent-im session for your image or video prompt, then retrieve the session progress and final result link when it is ready.
High-intent search queries and answers about installing and using this skill.
You can manage agent-im conversation sessions by creating new ones, continuing existing conversations with prompts, and polling session progress to retrieve message history and final generation results.
To upload image or video files into an agent-im generation workflow, you switch to the desired project for your access key and upload the supported media files before sending the generation prompt.
Yes, you need a LIBTV_ACCESS_KEY for bearer authentication to create and query agent-im sessions, and you can optionally override the base URL using OPENAPI_IM_BASE or IM_BASE_URL environment variables.
The best way to monitor image generation progress in agent-im is to poll the active session, which retrieves the ongoing message history and fetches the final result link once the generation is ready.
Yes, you can use Python 3 standard library scripts to execute agent-im project switching and media file uploads, as no external dependencies are required for these session and upload operations.
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