Sharing results
SkillMediaThe 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Sharing results skill
What this skill tells your AI
The instructions your AI receives, as published by oxbshw/watch-skill in skills/sharing-results/SKILL.md and read by ahel’s review.
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.
Generate the page
watch-skill viewer <video_id-or-source> [-o <path>]
The file contains, self-contained (frames inlined as data URIs, zero external requests):
- a timeline with key-frame cards and timestamps,
- the transcript and all on-screen text (OCR),
- every question asked about the video so far, with its answer, 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.
Hand-off patterns
- Bug ticket: run
watch-skill extract bug-reportfirst, then the viewer — the ticket gets the structured report, the viewer link gives reviewers the evidence. - Review request: send the file itself (it is one .html, typically well under a few hundred KB); it opens in any browser, RTL text renders correctly, nothing phones home.
Signals
- GitHub stars
- 370
- Forks
- 52
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
sharing-results- Source
- github.com/oxbshw/watch-skill