asking-with-evidence
The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code…
The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". Use this to render a self-contained offline HTML viewer page with the frames,
$ npx -y skills add oxbshw/watch-skill --skill sharing-results --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/sharing-resultsContext preview
The summary Claude sees to decide when to auto-load this skill.
The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". Use this to render a self-contained offline HTML viewer page with the frames,
name: sharing-results version: "1.4.3" description: The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share", "export the findings", "give me something I can attach to the ticket". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence. license: MIT user-invocable: true allowed-tools: Bash, Read
An analysis that lives only in this chat dies with it. The viewer turns an analyzed video into a single HTML file anyone can open — no server, no internet, no Watch Skill install on the other end.
watch-skill viewer <video_id-or-source> [-o <path>]
The file contains, self-contained (frames inlined as data URIs, zero external requests):
confidence badge, and the exact timestamped evidence cited.
Answer questions FIRST, then generate. The page includes cached answers, so ask what the user cares about before rendering — a viewer generated before any questions holds only frames and transcript.
viewer — the ticket gets the structured report, the viewer link gives reviewers the evidence.
under a few hundred KB); it opens in any browser, RTL text renders correctly, nothing phones home.
Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence, and answers did that actually work? with a deterministic contract rather than a model's opinion.
The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code…
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The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this…
The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code"…
A Watch Skill command failed, video download broke, ffmpeg or yt-dlp is missing, a provider returned an error, local vision…