oxbshw/watch-skill

sharing-results

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".

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/oxbshw/watch-skill --skill sharing-results

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Sharing results

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

bash
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-report first, 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.

Verwandte Aufgaben

aus demselben Repository

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The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code appears", "what happens at 2:30", "does the video show Y". Use this to answer from the persistent index with timestamped evidence and a confidence score instead of re-watching or guessing.

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configuring-vision

The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter", wants local Ollama, or needs different cheap and strong models. Use this to configure provider-neutral visual understanding without tying Watch Skill to one agent or model vendor.

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extracting-structure

The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this recording", "turn this screen recording into a bug report", "how strong is my intro/hook". Use this for deterministic extraction from the index — chapters with timestamps, a fileable bug report with the exact frame, or a scored hook analysis.

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learning-from-mistakes

The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong. Use this to record the correction as a lesson so future answers on similar questions improve, and to show what the system has learned and saved.

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GitHub Stars
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