Shorts
AgriciDaniel/claude-shorts
Interactive longform-to-shortform video creator. An agent skill from AgriciDaniel/claude-shorts.
Watch a tutorial or lecture video (URL or local path) and produce structured study notes.
$ npx skills add devinilabs/claude-watch --skill claude-watch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install devinilabs/claude-watch claude-watch --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .claude/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devinilabs/claude-watch --skill claude-watch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install devinilabs/claude-watch claude-watch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .agents/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devinilabs/claude-watch --skill claude-watch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install devinilabs/claude-watch claude-watch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .cursor/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devinilabs/claude-watch --skill claude-watch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install devinilabs/claude-watch claude-watch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .gemini/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install devinilabs/claude-watch claude-watchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add devinilabs/claude-watch --skill claude-watch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .github/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add devinilabs/claude-watch --skill claude-watch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install devinilabs/claude-watch claude-watch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "claude-watch" agent skill from https://github.com/devinilabs/claude-watch/tree/main into .opencode/skills/claude-watch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-watch", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
claude-watchWatch a tutorial or lecture video (URL or local path) and produce structured study notes.
Claude Watch is an agent skill from devinilabs/claude-watch. Watch a tutorial or lecture video (URL or local path) and produce structured study notes. Downloads with yt-dlp, detects scene changes with ffmpeg, pulls a timestamped transcript (captions or Whisper API fallback), and writes a section-by-section markdown notes file with embedded screenshots to ~/claude-watch/library/<slug/.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 47 other files, including scripts (for example `.claude-plugin/marketplace.json`, `.claude-plugin/plugin.json` and `.codex-plugin/skill.json`).
It sits in Media & Creative, covering Study guides and flashcards, Video production and Note-taking. It works with FFmpeg and Whisper. The repository describes itself as: Turn any tutorial or lecture video into structured study notes — scene-aware frames, persistent library, Claude-vision OCR. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ade7d61. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3brewFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Claude Watch loads about 1.6k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 678 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
ds. It scaffolds `~/.config/claude-watch/.env` (mode 0600) with commented placeholders.and write it to `~/.config/claude-watch/.env`. If they don't want to, run with `--no-whisper`; videos without native ca- Reads/writes `~/.config/claude-watch/.env` (mode 0600) for keysallowed-tools: Bash, Read, Write, AskUserQuestionAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from devinilabs/claude-watch at commit ade7d61, republished under its MIT licence (© devinilabs). 678 words, ~1,639 tokens.
.claude/skills/claude-watch/SKILL.md (or your agent's skills folder). This skill also uses 40 other files; get the full folder from GitHub.You don't have a video input. This skill gives you one and turns each viewing into a saved notes artifact.
Run on every /claude-watch invocation:
python3 "${CLAUDE_SKILL_DIR}/scripts/setup.py" --checkExit codes: 0 ready (silent — proceed), 2 missing binaries, 3 missing API key, 4 both. On non-zero, run the installer:
python3 "${CLAUDE_SKILL_DIR}/scripts/setup.py"On macOS this auto-brew installs ffmpeg + yt-dlp. On Linux/Windows it prints the right commands. It scaffolds ~/.config/claude-watch/.env (mode 0600) with commented placeholders.
If a Whisper key is still missing afterwards, use AskUserQuestion to ask whether the user has a Groq key (preferred — cheaper, faster) or an OpenAI key, and write it to ~/.config/claude-watch/.env. If they don't want to, run with --no-whisper; videos without native captions will come back frames-only.
/claude-watch <url-or-path> [topic]Step 1 — parse input. Separate the source (URL or path) from any topic the user mentioned. The topic shapes which sections you emphasize in the notes — pass it through to your synthesis, not to the script.
Step 2 — run the watch script.
python3 "${CLAUDE_SKILL_DIR}/scripts/watch.py" "<source>"Optional flags:
--start T / --end T — focus on a section (SS, MM:SS, or HH:MM:SS)--max-frames N — lower budget (default 80)--resolution W — bump frame width to 1024 px when on-screen text is tiny--scene-threshold X — sensitivity (default 0.30; raise for fewer cuts, lower for more)--max-gap S — coverage floor in seconds (default 45)--whisper groq|openai — force backend--no-whisper — disable Whisper entirely--out-dir DIR — override library rootStep 3 — read every frame. The script ends with a structured === frames === block listing each frame's path and timestamp. Read them all in parallel — they render as images in your context.
Step 4 — load the transcript. The === transcript === block points to transcript.json (or transcript.window.json for focused mode). Read it — it's a list of {t_start, t_end, text, speaker_break}.
Step 5 — write notes.md to the library directory. Use the strict template below. Save to <library_dir>/notes.md. Then print a 3-line summary to chat:
Do not delete the library dir. It is the artifact.
# <Video Title>
**Source:** <URL or path> · **Duration:** MM:SS · **Watched:** YYYY-MM-DD
## TLDR
<3-4 sentences: what the video is about and the single most important takeaway.>
## Key Concepts
- **<concept>** — <one-line definition> · `[t=MM:SS]`
- ...
## Notes
### [t=00:04] <Section title you derive from on-screen + spoken content>

**On screen:** <Transcribe / describe the slide, code, diagram. If code, transcribe verbatim.>
**Said:** <Relevant transcript excerpt for this scene, lightly cleaned.>
**Synthesis:** <Your connection — what this section is teaching, how it links to prior section.>
### [t=00:31] <next section>
...
## Code & Commands
<every code-on-screen frame's content as a runnable fenced block, language-tagged, with [t=MM:SS] back-link>
```python
# [t=03:45]
def forward(x):
return x @ W + b
```
## Diagrams Referenced
- `[t=02:10]` — <one-line description of the diagram in frame 0008>
- ...
## Open Questions
- <things mentioned but not fully covered, or follow-ups to explore>t=MM:SS from each frame as the section anchor.<URL>&t=<seconds> to jump there.If the user re-watches the same URL, the script reuses the cached download, transcript, and scenes. Only frames + notes regenerate. To force a full re-run, delete <library_dir>/meta.json first.
setup.py, then ask for a key via AskUserQuestion.transcript_source: none. Generate notes frames-only and tell the user.--start/--end focused on the part the user cares about.--whisper openai (if Groq failed) or vice versa.Frames dominate cost (~50-80k input tokens for 60 frames at 512 px). Transcripts are cheap. --resolution 1024 quadruples per-frame cost — only when the user must read tiny on-screen text.
If the user asks a follow-up about a video you already watched in this session, do NOT re-run the script. The library directory is on disk; re-Read only the frames you need.
yt-dlp, ffmpeg, ffprobe locally~/.config/claude-watch/.env (mode 0600) for keys~/claude-watch/library/<slug>/ — review the directory after first run if you're cautious© devinilabs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 40 other files (scripts) in the repository root of devinilabs/claude-watch.
Open the folder on GitHubat commit ade7d61
Claude Watch next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Claude Watch this skilldevinilabs/claude-watch | 117 | — | ~1.6k | Automated safety check: Notes | MIT | |
| ShortsAgriciDaniel/claude-shorts | 219 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Bggg Tiktok Readvideobinggandata/bggg-skills | 604 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Watch Videocoreyhaines31/makerskills | 850 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Video Clippergooseworks-ai/goose-skills | 1.2k | 1 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Video EditingLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.7k | Automated safety check: Notes | MIT |
AgriciDaniel/claude-shorts
Interactive longform-to-shortform video creator. An agent skill from AgriciDaniel/claude-shorts.
binggandata/bggg-skills
把 TikTok、Reels、YouTube Shorts、UGC 广告、本地 MP4/MOV/WebM 等视频拆成 Codex 可读的视频上下文。
coreyhaines31/makerskills
When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports.
gooseworks-ai/goose-skills
Repurposes long-form video (podcasts, interviews, talks) into short-form vertical clips for Instagram Reels, TikTok, and YouTube Shorts.
LeoYeAI/openclaw-master-skills
Automated video editing skill for talk/vlog/standup videos. An agent skill from LeoYeAI/openclaw-master-skills.
NousResearch/hermes-agent
Produces a presenter-led video from a topic or script plus one authorized presenter image, with captions, lip-sync checks and acceptance reports.
Categories
Watch a tutorial or lecture video (URL or local path) and produce structured study notes. Claude Watch is an agent skill from devinilabs/claude-watch. Watch a tutorial or lecture video (URL or local path) and produce structured study notes.
Claude Watch fits situations like: tasks that involve Study guides and flashcards; tasks that involve Video production; tasks that involve Note-taking.
Run `npx skills add devinilabs/claude-watch --skill claude-watch -a claude-code`. Or copy the skill folder (the devinilabs/claude-watch repository) into .claude/skills/claude-watch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add devinilabs/claude-watch --skill claude-watch -a codex`. Or copy the skill folder (the devinilabs/claude-watch repository) into .agents/skills/claude-watch in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add devinilabs/claude-watch --skill claude-watch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claude-watch, .gemini/skills/claude-watch, .github/skills/claude-watch and .opencode/skills/claude-watch in your project.
Going by SKILL.md and its folder, Claude Watch needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (python3 and brew). Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: Bash, Read, Write, AskUserQuestion.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Claude Watch is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Claude Watch: Shorts (AgriciDaniel/claude-shorts, 219 stars), Bggg Tiktok Readvideo (binggandata/bggg-skills, 604 stars), Watch Video (coreyhaines31/makerskills, 850 stars) and Video Clipper (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
devinilabs (a GitHub user) maintains it in devinilabs/claude-watch, which has 117 GitHub stars. The repository was last updated on May 4, 2026.
Source: devinilabs/claude-watch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.