krillinai-cli
Use when an agent needs to operate KrillinAI through its CLI, choose the right stage command, inspect CLI outputs, or run subtitle, TTS, landscape render, and portrait render tasks from a YouTube/local video input.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when an agent needs to operate KrillinAI through its CLI, choose the right stage command, inspect CLI outputs, or run subtitle, TTS, landscape render, and portrait render tasks from a YouTube/local video input.
Use when planning or documenting KrillinAI cover generation from an original video cover and prompt templates; the current CLI cover command is a reserved/planned surface unless implementation is wired in.
Use when planning multi-stage KrillinAI CLI workflows such as subtitle plus TTS plus horizontal or vertical render; current pipeline execution is a reserved/planned surface unless implementation is wired in.
Use when rendering landscape videos with KrillinAI CLI, including original video plus bilingual subtitles or dubbed video plus target-language subtitles.
Use when rendering portrait videos with KrillinAI CLI, including converting source video to vertical format, adding short bilingual subtitles, rendering dubbed vertical videos, and checking vertical subtitle readability.
Use when generating subtitles with KrillinAI CLI from a YouTube link, Bilibili/local video, or existing media, including platform caption download, Whisper fallback, translation, bilingual SRT, and short vertical subtitle output.
Use when generating target-language dubbing with KrillinAI CLI from SRT subtitles, including TTS audio creation and optional dubbed video generation.
Fix a GitHub issue on OpenPipe/ART and open a PR. Use when the user asks to fix, solve, or work on an ART issue, or references a GitHub issue URL containing "OpenPipe/ART". Triggers: "fix ART issue", "solve this issue" with an OpenPipe/ART URL, "work on ART #N".
RL training reference for the ART framework. Use when the user asks to create, write, or help with an RL training script, reinforcement learning, GRPO, reward functions, RULER scoring, rollout functions, or anything related to RL fine-tuning.