Batch-research the latest 1–N videos of a YouTube channel and produce a single cross-video comparative report (not N isolated summaries): enumerate uploads, fetch text with captions first and local ASR as fallback, then write up themes, drift, contradictions, and limits.
This skill performs batch research on a YouTube channel by enumerating its latest 1 to N videos, extracting text content (prioritizing captions/subtitles, with automatic local ASR transcription as a fallback), and synthesizing the findings into one comprehensive cross-video comparative report. It is designed for developers, researchers, and AI agent users who need to analyze trends, thematic drift, contradictions, or limitations across multiple videos from a single channel, rather than generating separate summaries for each video. The skill supports various platforms such as Claude Code, Cursor, and Codex, and is triggered by natural language phrases like "研究这个YouTube频道" or "youtube channel research." Key features include automated subtitle extraction, offline ASR transcription for videos without captions, and intelligent comparison across videos to produce a unified analysis that highlights overarching themes and inconsistencies.
npx skills add https://github.com/xichow0663-gif/yt-research-skill/tree/masterBatch-research the latest 1–N videos of a YouTube channel and produce ONE cross-video comparative report (not N isolated summaries) — enumerate uploads, fetch text with captions first and local ASR as fallback, then write up themes, drift, contradictions and limits. Trigger phrases: 研究这个YouTube频道, 频道最近的视频, 批量总结YouTube, youtube频道调研, 这个频道最近N个视频讲了什么, 频道内容分析, 竞品频道追踪, youtube 批量字幕/转录, youtube channel research, latest videos
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.