lattifai-skills

Identify speakers ("who said what") in aligned captions via pyannote.audio. Real speaker names come from the agent's own reasoning over transcript + context (default), with a CLI-LLM fallback for headless runs. Trigger on multi-speaker content (podcasts, interviews, meetings) or phrases like "diarize", "speaker detection", "说话人识别", "区分说话人", "label the speakers". Requires aligned captions — run `/lai-align` first.

Translate captions into another language (or produce bilingual captions) while preserving segment count, timing, speaker labels, AND source punctuation density (no inserted em-dashes, parentheses, or bracketed glosses unless the source had them — downstream rendering shows every character). **Primary path uses this session's LLM directly — no API key, no model config.** Trigger on "translate captions", "翻译字幕", "翻译成中文/英文", "make bilingual subtitles", or "translate this" when working with caption files. CLI `lai translate run` is the secondary path for headless / oversized runs.

Align existing captions to audio/video with word-level precision using the Lattice-1 model. Trigger when the user has both a media file AND a caption/transcript that need to be synchronized, or says "fix caption timing", "字幕对不上", "对齐字幕", "word-level timestamps", "karaoke timing", "timestamps are off". Do NOT trigger without existing text — use `/lai-transcribe` first.

Convert between 30+ caption/subtitle formats (SRT, VTT, ASS, JSON, TextGrid, LRC, FCPXML, Premiere, …) and shift timing. Trigger on "convert captions", "SRT to VTT", "转换字幕格式", "shift timing", "ASS styling", "karaoke effect", "导入Premiere", or any caption-format question. Do NOT trigger to fix timing accuracy (`/lai-align`) or translate (`/lai-translate`).

Generate viral-ready karaoke / lyric-video subtitles with per-word highlighting in one command. Adaptive font size from media resolution. Ready-made style presets for TikTok, Reels, Shorts, 抖音, 小红书, YouTube, and cinematic long-form. Trigger on "karaoke 字幕", "卡拉OK", "lyric video", "逐词歌词", "按字高亮", "TikTok 字幕", "抖音字幕", "Reels caption", "Shorts caption", "小红书歌词", "viral subtitles", "爆款字幕", or when a song / podcast / video clip is given and per-word highlighted captions are asked for. For general caption format conversion without karaoke styling, use /lai-caption.

Summarize a transcript, podcast, or long caption file into structured markdown (TL;DR, chapters with timestamps, quotes, entities). **Primary path uses this session's LLM directly — no API key, no model config.** Trigger on "summarize", "生成摘要", "总结", "TL;DR", "episode summary", "what was discussed", or when the user has a long caption and wants key points. CLI `lai summarize caption` is the secondary path for oversized transcripts / headless runs.

Transcribe audio/video to timestamped captions with Gemini (100+ languages) or local Parakeet / SenseVoice models. Trigger on "transcribe", "speech to text", "转录", "语音转文字", "generate captions from audio", or when the user provides an audio/video file with no text. If the YouTube video already has captions, prefer `/lai-youtube`.

One-command YouTube pipeline — downloads media, fetches or transcribes captions, and runs forced alignment. Trigger when the user provides a YouTube URL (youtube.com / youtu.be) and wants captions/subtitles, or says "align youtube", "下载YouTube字幕", "get captions from youtube".

Install LattifAI and get a free trial API key. Trigger on first mention of LattifAI / `lai`, authentication errors, trial requests, or "how do I get started with alignment" / "我想做字幕对齐" before `lai --version` is verified. Do NOT trigger when already authenticated — route to `/lai-align`, `/lai-transcribe`, etc.