Extract cleaned video transcripts and archive them with platform metadata.
npx skills add https://github.com/jiangjiax/li-skills --skill li-transcript
Please help me install this Agent Skill. Skill: li-transcript Source: https://github.com/jiangjiax/li-skills/tree/main/li-transcript Command: npx skills add https://github.com/jiangjiax/li-skills --skill li-transcript
li-transcript eliminates the manual effort of transcribing videos and cleaning up speech-to-text errors so you can quickly extract the actual script for benchmarking and analysis.
Ask the skill to extract and proofread the transcript from a given video link, then archive it under the appropriate benchmark blogger folder.
High-intent search queries and answers about installing and using this skill.
To extract a video transcript, the skill downloads audio via yt-dlp, converts it to 16kHz mono using ffmpeg, and runs Tencent Cloud ASR. It then cleans the transcript and saves it into a platform-specific YAML markdown file archived by competitor.
AI proofreading cleans speech-to-text ASR mistakes by targeting homophones, near-sounds, proper nouns, and garbled segments. It corrects these recognition errors while preserving the original spoken wording and meaning for accurate content archiving.
Yes, you need yt-dlp and ffmpeg installed to get transcripts from video links. The skill depends on yt-dlp for retrieving video audio and ffmpeg for converting it to the 16kHz mono format required by Tencent Cloud ASR.
Yes, you can use Tencent Cloud ASR to transcribe YouTube or B站 videos. The skill supports platform-aware metadata extraction, automatically selecting the correct YAML naming conventions based on the URL domain provided.
The best way to archive video transcriptions for competitor benchmarking is to save them as markdown files with YAML metadata. This skill detects the author from the transcript and organizes the files into matching benchmark directories using a time-based folder structure.
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