{"slug":"watch-video","title":"watch-video","description":"watch-video gives Claude eyes and ears for any video — local files, public URLs (YouTube, Loom, Vimeo, TikTok, ~1,500 sites via yt-dlp), or Jira attachments fetched directly via API token. One command produces a complete evidence bundle: timestamped JPEG frames, a Whisper transcript (local faster-whisper or hosted Groq / OpenAI), optional OCR for on-screen text, and three report formats — report.md, self-contained report.html with base64-embedded frames, and corporate-friendly report.docx.\n\nKey features:\n- LLM-driven highlights: pass a prompt (\"summarize the rate decision and inflation outlook\", \"identify the bug and when it occurs\") and Claude picks the N most relevant moments with frame + reason + verbatim quote.\n- Smart dedup with perceptual hash + transcript-aware protection: typically drops 40-60% of redundant frames on screen recordings without losing narrated moments.\n- OCR for screen-recording UIs: Tesseract with 2x upscale + auto-invert + PSM 6, output to grep-able ocr.txt.\n- Per-step content-hash cache: re-runs are nearly free.\n- Opt-in Jira posting with a confirmation gate BEFORE any attachment upload — declining leaves the ticket untouched, no orphan state.\n- Batch mode for sprint retros: process a JQL query's worth of bug tickets in one command.","developer":"Marcin Sufa","category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-11-07T06:00:03.345Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/MarcinSufa/claude-watch-video.git","web_data":{},"github_data":{},"catalog_sources":{"community":[{"name":"watch-video","source":{"sha":"f6b4a2e62f51a045fc789245bb364c9ac8d970c7","url":"https://github.com/MarcinSufa/claude-watch-video.git","source":"url"},"homepage":"https://github.com/MarcinSufa/claude-watch-video","description":"watch-video gives Claude eyes and ears for any video — local files, public URLs (YouTube, Loom, Vimeo, TikTok, ~1,500 sites via yt-dlp), or Jira attachments fetched directly via API token. One command produces a complete evidence bundle: timestamped JPEG frames, a Whisper transcript (local faster-whisper or hosted Groq / OpenAI), optional OCR for on-screen text, and three report formats — report.md, self-contained report.html with base64-embedded frames, and corporate-friendly report.docx.\n\nKey features:\n- LLM-driven highlights: pass a prompt (\"summarize the rate decision and inflation outlook\", \"identify the bug and when it occurs\") and Claude picks the N most relevant moments with frame + reason + verbatim quote.\n- Smart dedup with perceptual hash + transcript-aware protection: typically drops 40-60% of redundant frames on screen recordings without losing narrated moments.\n- OCR for screen-recording UIs: Tesseract with 2x upscale + auto-invert + PSM 6, output to grep-able ocr.txt.\n- Per-step content-hash cache: re-runs are nearly free.\n- Opt-in Jira posting with a confirmation gate BEFORE any attachment upload — declining leaves the ticket untouched, no orphan state.\n- Batch mode for sprint retros: process a JQL query's worth of bug tickets in one command."}]},"manifest":{"url":"https://raw.githubusercontent.com/MarcinSufa/claude-watch-video/f6b4a2e62f51a045fc789245bb364c9ac8d970c7/.claude-plugin/plugin.json","payload":{"name":"watch-video","author":{"name":"Marcin Sufa","email":"sufa.marcin@gmail.com"},"skills":"./","license":"MIT","version":"1.0.0","homepage":"https://github.com/MarcinSufa/claude-watch-video","keywords":["video","transcription","whisper","ffmpeg","jira","bug-repro","screen-recording","yt-dlp","multimodal"],"repository":"https://github.com/MarcinSufa/claude-watch-video","description":"Make Claude watch any video. Local file, public URL (yt-dlp), or Jira attachment (fully automated). Extracts keyframes with ffmpeg, transcribes with local faster-whisper or hosted Groq/OpenAI Whisper, and produces a paste-ready evidence-bundle Markdown report."},"observed_at":"2026-11-06T10:50:57Z"}}