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Updated 2d ago

by oxbshw

watch-skill

Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence and proves work with deterministic contracts, not model opinion. DeepWatch is the agent workspace built on DeepSeek Harness. Python + npm, MCP, CLI, REST, Web.

  • Active — Updated in the last 14 days
View on GitHub (opens in a new tab)

487 GitHub stars (487)

+91 in 20 days

Stars gained per day · daily snapshots since Sep 26
Stars gained per day, Sep 26 to Oct 16: +91 in total; the busiest day was Oct 4 with +21 stars.Sep 27: +2 starsSep 28: +1 starsSep 29: +3 starsSep 30: +2 starsOct 1: 0 starsOct 2: +3 starsOct 3: +1 starsOct 4: +21 starsOct 5: +9 starsOct 6: +7 starsOct 7: +6 starsOct 8: +7 starsOct 9: +9 starsOct 10: +2 starsOct 11: +5 starsOct 12: +1 starsOct 13: +5 starsOct 14: +2 starsOct 15: +2 starsOct 16: +3 stars
Stars gained between daily snapshots
PeriodNew stars
Sep 27+2
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Sep 30+2
Oct 10
Oct 2+3
Oct 3+1
Oct 4+21
Oct 5+9
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Oct 7+6
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Oct 11+5
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Oct 16+3
  • 10 skills (10 skills found in its SKILL.md files)
  • 70 forks (70 forks)
  • 2d ago last update (Last updated 2d ago)

Install

Skills CLI

npx skills add oxbshw/watch-skill

Asks which skills and agents to install. Just one: npx skills add oxbshw/watch-skill --skill asking-with-evidence — add -g for every project.

Claude Code

git clone https://github.com/oxbshw/watch-skillcp -r "watch-skill/skills/asking-with-evidence" ~/.claude/skills/

Copies the asking-with-evidence skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add oxbshw/watch-skill

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • 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 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.

    skills/asking-with-evidence/SKILL.md on GitHub (opens in a new tab)

  • 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.

    skills/configuring-vision/SKILL.md on GitHub (opens in a new tab)

  • 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.

    skills/extracting-structure/SKILL.md on GitHub (opens in a new tab)

  • 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.

    skills/learning-from-mistakes/SKILL.md on GitHub (opens in a new tab)

  • recovering-from-errors

    A Watch Skill command failed, video download broke, ffmpeg or yt-dlp is missing, a provider returned an error, local vision stopped, or the user asks "why can't it watch this" or "repair my setup". Use this to diagnose and apply the engine's structured fix before retrying the original operation.

    skills/recovering-from-errors/SKILL.md on GitHub (opens in a new tab)

  • 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". Use this to render a self-contained offline HTML viewer page with the frames, transcript, and every cached answer with its evidence.

    skills/sharing-results/SKILL.md on GitHub (opens in a new tab)

  • the-loop

    The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does the animation glitch". Use this to record the running thing, critique the recording against plain-language pass criteria, and iterate until it passes with before/after proof.

    skills/the-loop/SKILL.md on GitHub (opens in a new tab)

  • video-memory

    The user asks about videos watched in the past or across sessions — "have we watched anything about X", "which video showed that error", "what did that meeting decide", "search my videos", or a question that spans several videos. Use this to search and answer from the persistent cross-video index instead of saying you don't remember.

    skills/video-memory/SKILL.md on GitHub (opens in a new tab)

  • watch

    Watch any video (URL, stream, or local path) via Watch Skill. Downloads, extracts scene-aware deduped frames, OCRs them, transcribes (captions first, then local Whisper — offline by default), indexes everything, and hands the result to the agent. Follow-up questions are answered from the persistent index without re-processing.

    skills/watch/SKILL.md on GitHub (opens in a new tab)

  • watching-videos

    The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's in this recording". Use this to actually watch the video — download, extract frames, OCR, transcribe, and index it — instead of guessing from the title or asking the user to describe it.

    skills/watching-videos/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.